Exam Code: PL-200 Practice exam 2023 by Killexams.com team
PL-200 Microsoft Power Platform Functional Consultant
Exam ID : PL-200
Exam Name : Microsoft Power Platform Functional Consultant

Candidates for this exam perform discovery, capture requirements, engage subject matter experts and stakeholders, translate requirements, and configure Power Platform solutions and apps. They create application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and custom visualizations.

Candidates implement the design provided by and in collaboration with a solution architect and the standards, branding, and artifacts established by User Experience Designers. They design integrations to provide seamless integration with third party applications and services.

Candidates actively collaborate with quality assurance team members to ensure that solutions meet functional and non-functional requirements. They identify, generate, and deliver artifacts for packaging and deployment to DevOps engineers, and provide operations and maintenance training to Power Platform administrators.

Power Platform Functional Consultants should be familiar with Dynamics 365 model-driven applications and should have experience using the Power Platform components to extend and customize Dynamics 365 model-driven applications.

Configure the Common Data Service (25-30%)
Create apps by using Power Apps (20-25%)
Create and manage Power Automate (15-20%)
Implement Power Virtual Agents chatbots (10-15%)
Integrate Power Apps with other apps and services (15-20%)

Configure the Common Data Service (25-30%)
Manage an existing data model
 assign a type for an entity including standard, activity, or virtual
 configure entity ownership
 create new entities or modify existing entities
 determine which type of relationship to implement including 1: N and N: N
 configure entity relationship behaviors including cascading rules
 create new relationships or modify existing relationships
 create new fields or modify existing fields
 create alternate keys for entities
 configure entity properties
Create and manage processes
 define requirements for business rules
 define and implement business rule logic
 define the scope for business rules
 configure and test business rules
 configure a synchronous classic workflow
Configure Common Data Service settings
 configure Relevance Search
 configure auditing
 perform data management tasks
 configure duplicate detection settings
Configure security settings
 create and manage business units
 create and manage security roles
 create and manage users and teams
 create and manage field security profiles
 configure hierarchy security
Create apps by using Power Apps (20-25%)
Create model-driven apps
 create and configure forms
 create and configure views
 create and configure charts
 create and configure dashboards
 configure site maps
 select applicable assets for an app including entities, forms, views, business process
flows, dashboards, and charts
 share a model-drive app
Create canvas apps
 create a canvas app
 configure the Common Data Service as a data source for an app
 create canvas app screens
 implement form navigation, formulas, variables and collections, and error handling
 build reusable components and component libraries
 configure offline capabilities for apps
 run Power Automate flows based on actions that occur in a canvas app
 interpret App Checker results and resolve identified issues
 test, monitor, and share apps
Create portal apps
 create a portal app
 expose Common Data Service data
 configure portal web pages, forms, and navigation
 configure portal security including web roles and page access
Create and manage Power Automate (15-20%)
Create flows
 describe types of flows and flow components
 trigger a flow by using Common Data Service connectors
 run actions by using the Common Data Service connector
 implement logic control
 implement dynamic content and expressions
 interpret and act on Flow Checker results
 activate and deactivate flows
 interpret flow analytic data
Create and manage business process flows
 configure a business process flow
 add business rules, workflows, and action steps to a business process flow
 define stages and steps
 configure parallel branches
 manage the business process flow entity for a business process flow
Build UI flows
 describe types of UI flows
 identify use cases for UI flows
 differentiate between attended and unattended UI flows
 record business process tasks
Implement Power Virtual Agents chatbots (10-15%)
Create chatbot
 assign a chatbot to an environment
 publish a chatbot
 share a chatbot
 add chatbots to Teams and other channels
 monitor and diagnose bot performance, usage, and subject usage
Configure Topics
 define subject conversation triggers
 create questions, messages, and conditions
 extract Topics from a web page
 implement greetings, escalations, error messages, and statuses
 call a Power Automate flow to run an action
Configure entities
 create custom entities
 implement entities in conversations
 implement variables to store data
Integrate Power Apps with other apps and services (15-20%)
Integrate Power BI with Power Apps
 create Power BI visualizations
 create data flows and schedule data flow runs
 filter data
 build reports and dashboards
 publish and share reports and dashboards
 add Power BI tiles to model-driven apps and canvas app
 add canvas apps to a Power BI dashboard
 trigger Power Automate flows from Power BI alerts
Implement AI Builder
 determine which AI Builder model type to use
 create an AI Builder model
 prepare source data for use by models
 train, test, and publish a model
 consume a model by using Power Apps
 consume a model by using Power Automate
Integrate Power Apps with Microsoft 365
 add apps to Microsoft Teams
 create a Teams app from a Power Apps app
 configure app policies
 create a Teams channel by using Power Automate
 configure and use Microsoft Word and Microsoft Excel templates
Implement Power Virtual Agents chatbots (10-15%)
Create chatbot
 assign a chatbot to an environment
 publish a chatbot
 share a chatbot
 add chatbots to Teams and other channels
 monitor and diagnose bot performance, usage, and subject usage
Configure Topics
 define subject conversation triggers
 create questions, messages, and conditions
 extract Topics from a web page
 implement greetings, escalations, error messages, and statuses
 call a Power Automate flow to run an action
Configure entities
 create custom entities
 implement entities in conversations
 implement variables to store data
Integrate Power Apps with other apps and services (15-20%)
Integrate Power BI with Power Apps
 create Power BI visualizations
 create data flows and schedule data flow runs
 filter data
 build reports and dashboards
 publish and share reports and dashboards
 add Power BI tiles to model-driven apps and canvas apps
 add canvas apps to a Power BI dashboard
 trigger Power Automate flows from Power BI alerts
Implement AI Builder
 determine which AI Builder model type to use
 create an AI Builder model
 prepare source data for use by models
 train, test, and publish a model
 consume a model by using Power Apps
 consume a model by using Power Automate
Integrate Power Apps with Microsoft 365
 add apps to Microsoft Teams
 create a Teams app from a Power Apps app
 create an app directly in Teams
 configure app policies
 create a Teams channel by using Power Automate
 configure and use Microsoft Word and Microsoft Excel templates
Microsoft Power Platform Functional Consultant
Microsoft Functional exam format
Killexams : Microsoft Functional exam format - BingNews https://killexams.com/pass4sure/exam-detail/PL-200 Search results Killexams : Microsoft Functional exam format - BingNews https://killexams.com/pass4sure/exam-detail/PL-200 https://killexams.com/exam_list/Microsoft Killexams : Building Functional .NET Applications: A Guide for Choosing Between F# vs C#

Key Takeaways

  • C# and F# are languages, each with growing user bases, that approach functional programming in fundamentally different ways. C# relies on object-oriented, imperative principles, and F# relies on functional principles. 
  • C# is a multi-paradigm, object-oriented language first released by Microsoft twenty years ago. It was the eighth most popular language among developers in 2022, with nearly a third of developers using it.
  • Although C# is primarily object-oriented and mutable/stateful, it does have functional capabilities.
  • Since its inception, the F# community has grown steadily, if slowly. It now includes a GitHub group as well as many different community projects, from Javascript transpilers (Fable) to package managers (Paket) to web-development libraries (Suave) and more.
  • Some developers are using F# as a complement to C#, rather than relying on the functional capabilities that exist natively in C#.

Efficiency is everything in the world of application development. Developers and organizations that can get products to market faster and provide more rapid refreshes will always have an edge over the competition.

So everyone's always looking for ways to reduce development time, time spent on debugging and testing, and time pushing finished releases out to customers.

Functional programming was in common use decades ago but lost ground quickly to object-oriented programming languages, which soon became the de facto standard.

But in accurate years, there has been a resurgence of interest in functional programming as a way to Excellerate development efficiency and build more stable and robust applications.

C# and F# are languages with growing user bases that approach functional programming in fundamentally different ways: C# as an adjunct to its inherent imperative paradigm and F# as its primary paradigm.

This article investigates which of these languages does the best job for developers looking to put functional programming in place for their teams and projects.

The debate on functional vs object-oriented programming

To understand the debate, we have to start at a little higher level with the difference between imperative and declarative programming paradigms.

  • Imperative programming: A process-based programming approach, where developers specify how to achieve results step-by-step. Imperative programming focuses on program state and state changes. Object-oriented programming languages like Java and C++ generally follow the imperative paradigm.
  • Declarative programming: A results-oriented programming approach, where developers specify the types of results desired. Declarative programming is stateless and execution order agnostic. Functional programming languages like LISP, Python, Haskell, and F# follow the declarative programming paradigm.

But it is an oversimplification to try and neatly divide all existing programming languages into these categories, as several languages offer aspects of each. They are hybrid or multi-paradigm languages.

For example, even though Java and C++ traditionally fall within the imperative classification, they also have functional aspects. The same is true of C#. Similarly, although F# is considered a functional language, it also has imperative capabilities.

Look at the list of the top ten languages developers use. You will see that they encompass mostly hybrid languages, with some focusing on imperative and others more dominantly functional.

(from 2022 StackOverflow Developer Survey)

JavaScript, which has held the top spot in this survey for a decade, is a multi-paradigm language, offering both imperative, object-oriented features and functional features.

Given the range of adoption, it is helpful to consider the different benefits each paradigm presents and the various use cases where each excels.

Imperative programming: benefits and use cases

Among the primary benefits of the imperative paradigm is that code written using it is generally easily understood and can be easy to read. Furthermore, given the meticulous workflow descriptions that imperative programming requires, even novice developers find it easy to follow.

But the level of detail imperative programming requires also comes with downsides. For example, in more complex applications, code can quickly become bloated. As the code size increases, ease of practicing and comprehension just as quickly fall off.

Moreover, as the code expands, the potential for bugs and errors increases. Thus, developers working with imperative languages often find themselves spending a lot of time debugging and testing, delaying product releases.

Nonetheless, imperative programming remains incredibly popular and has a wide range of use cases. Traditional applications for imperative programming include:

  • Hypertext and hypermedia
  • Object Database Management Systems (ODBMS)
  • Client-server systems
  • Real-time systems
  • Artificial intelligence, machine learning, and neural networks
  • Automation

Functional programming: benefits and use cases

The benefits of functional programming land more on the efficiency side of the equation. Functional code, while less easy to read and comprehend at first glance, tends to be closer to bug-free (i.e., no side effects for state changes), reducing developer time spent on debugging and testing.

Fewer bugs also lends itself to more secure applications, limiting the attack surface for cybercriminals to reduce the odds of ransomware attacks, malware, or SQL injections.

Functional programming is also better at both parallel processing and lazy evaluation. In addition, functional code is more modular and reusable, reducing the need for redundant code. The smaller code set is easier to maintain and can be higher performing. However, functional code can be memory intensive, eliminating any speed benefits from reduced code size and actually leading to decreased overall performance.

Functional programming is particularly popular among academics and data scientists, because it is effective at dealing with the manipulation of large data sets.

Given its focus on parallel processing and immutability, functional programming is particularly useful for:

  • Data Science
  • Spreadsheet applications
  • Finance and risk applications
  • Batch processing

Functional programming: C# vs F#

C# and F# are languages that have been gaining in popularity in accurate years. Although they are both multi-paradigms, their primary focus differs, with C# relying on object-oriented, imperative principles and F# relying on functional principles. But does one outperform the other when it comes to functional programming?

What is C#, and who is using it?

C# is a multi-paradigm, object-oriented language first released by Microsoft some 20 years ago. As you can see from the usage statistics above, it was the eighth most popular language among developers in 2022, with nearly a third of developers using it. It also has high satisfaction scores, with two-thirds of C# users saying they love using it.

C# is finding many uses in the development of web and cloud services, as well as game development. Companies from Microsoft to TrustPilot to StackOverflow are creating applications and services with C#.

Functional programming in C#

Although C# is primarily object-oriented and mutable/stateful, it does have functional capabilities. Here are a few ways to implement the functional paradigm in C#.

Create immutability

Because data types in C# are inherently mutable, when you want to use functional programming principles, you need to create immutability. And this is more complicated than simply relying on immutable data types in F#. Specifically, to create immutable types in C#, you must make the type read-only, remove setter properties, use a constructor to provide the parameters, and then create a new instance every time a state change is needed, rather than mutating an existing instance.

Use LINQ and Lambda expressions

Microsoft built the LINQ (Language Integrated Query) framework specifically to introduce functional programming features into C#. LINQ provides functions for operating on lists or sequences, including mapping (Select), sorting (OrderBy), and filtering (Where). Each of these expressions has functions for arguments. The expressions create new instances of the sequence rather than mutating the existing sequence. LINQ is particularly useful for querying datasets, whether SQL tables, XML data, or other sources.

LINQ also allows the use of Lambda expressions, which are essentially anonymous functions. Anonymous functions are a key aspect of functional programming. Lambda expressions can act as arguments for other functions in the code, creating higher-order functions, another common feature of functional programming.

Use method chains

A commonly used feature of F# is the pipeline operator, which passes the result of one function to another function. Pipelining is not built into C, but developers can imitate pipelines in certain situations using method chains, or fluent interfaces. This can be effected using the StringBuilder functionality in C#.

Method chains also allow you to replicate another common feature of functional programming, currying. Currying allows a function with multiple arguments to receive those arguments at different times. Essentially, in functional programming, if a function does not receive all the needed inputs, it returns a new function with the missing inputs as its arguments.

In C#, you implement currying with method chains to decompose a multi-function argument into a nested sequence of several single argument functions. However, this is not as neat or as efficient as in F#.

These are just some of the ways that skilled C# developers can apply functional programming principles in C#. And while they may require more effort than simply using F#, for those developers who want all the other features C# has to offer, they are a viable alternative.

What is F#, and who is using it?

Initially released by Microsoft for the Windows platform in 2005, F# is a predominantly functional programming language. It expanded to encompass Linux and macOS platforms in 2010, and then JavaScript in 2013. Also, in 2013, the F# Software Foundation launched to support Microsoft in its development and both F# and the F# community.

Since its inception, the F# community has grown steadily, if slowly. It now includes a GitHub group as well as many different community projects, from Javascript transpilers (Fable) to package managers (Paket) to web-development libraries (Suave) and more.

Despite its age, F# still has substantial room for adoption. General usage statistics are a little hard to come by, but a 2021 survey by JetBrains of more than 30000 developers indicated that only 1% had recently used F# or were planning to do so in the near future. By comparison, 21% had recently used C#, and 4% planned to use it soon. And F# has a slightly lower satisfaction rating than C#, although more than 60% of developers say they love using it.

Currently, there are fewer than 100 companies that are known to use F# in production, although they include some well-known names like Walmart and Huddle.

Some developers are using F# as a complement to C#, rather than relying on the functional capabilities that exist natively in C#. Because both compile to .NET Intermediate Languages (IL), it is possible to use both in the same project.

Which language has the edge for functional programming?

It seems like this should be a very simple question to answer: F# is functional first, while C# is imperative first, so the edge goes to F#. And at the highest level, this statement is true. But application development, like life, is rarely simple enough for the generalized application of high-level truths.

The better question to ask is which language is right for you, your team, and the projects you are working on at the moment. And this is a much more complex question to answer.

Choosing the right language for functional programming

When selecting between C# and F# for your functional programming needs, there are several considerations that should factor into your decision:

  • What are the needs of the project? The specific feature sets of your application may take you a long way in the decision process. For example, if the most important features of your application revolve around the user interface elements, with only minor data manipulation, then you may want to focus on C#. But if your application is data intensive and the UI elements are less important, you will probably lean towards F#.
  • What is your comfort level with each language? If your application will benefit from functional programming, but you aren’t experienced enough with C# to easily deal with the manipulations needed to make immutable types and translate from declarations to expressions, then you should consider F#.
  • How will your team deal with different languages? When working with a development team, you need to consider the skill sets and experience of each member of the team. You may have one very skilled F# developer, but others with little to no exposure to F#. This may lead to difficulties for team members in working with code written by other developers.
  • Is a multi-language approach best? Is your development team sufficiently skilled to make both C# and F# work together on the same project? Are there reasons that either of these languages alone doesn’t sufficiently address all the needs of your application? But think carefully before taking this approach - you should only do so if it is more efficient and more effective than using either language separately.     

Conclusion

When a development project demands functional programming, there are many options available to the development team, from purely functional languages to multi-paradigm languages like C# and F#. Making the best choice among good competing options is not always simple, but the time invested in making that decision will be rewarded with improved development efficiencies and better-end products. 

 Fri, 17 Feb 2023 09:04:00 -0600 en text/html https://www.infoq.com/articles/functional-dotnet-development/ Killexams : Could ChatGPT REALLY slay Google? MailOnline looks at whether the trendy bot can put an end to internet giant's £120 billion dominance by revamping how we search the net

By Fiona Jackson For Mailonline

Published: | Updated:

So far, there doesn't seem to be an awful lot that ChatGPT – the chatbot powered by artificial intelligence (AI) – can't do.

It has been used to pass exams, deliver a sermon, write software and give relationship advice — to name just a handful of its functions.

The bot is currently free for anyone to use, meaning that lots of users have been asking it questions to get the information they need in their daily lives.

Since the turn of the millennium, this job has been primarily reserved for Google — the world's most popular search engine and its $149 billion (£120 billion) business.

But could AI tools actually revolutionise the likes of Google, Bing and Baidu? And, if so, which of the warring tech giants will get there first? MailOnline takes a look at the race, and whether ChatGPT really can be the 'Google killer' that some believe.

Microsoft unveiled its new Bing search engine which incorporates ChatGPT - the chatbot powered by artificial intelligence - on Tuesday

Since the turn of the millennium, the job of finding internet users information has been primarily reserved for Google, the world's most popular search engine

When ChatGPT was released by start-up OpenAI in December, it opened the eyes of the public to just how powerful AI technology has become in accurate years.

WHAT IS CHATGPT? 

ChatGPT is a large language model that has been trained on a massive amount of text data, allowing it to generate eerily human-like text in response to a given prompt 

OpenAI says its ChatGPT model has been trained using a machine learning technique called Reinforcement Learning from Human Feedback (RLHF).

This can simulate dialogue, answer follow-up questions, admit mistakes, challenge incorrect premises and reject inappropriate requests.

It responds to text prompts from users and can be asked to write essays, lyrics for songs, stories, marketing pitches, scripts, complaint letters and even poetry. 

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The tool was trained on a gigantic trial of text from the internet in order to be able to understand human language.

Its human-like responses to any prompt have given people new ways to think about how to query information online.

Ever since, experts have been weighing in on what this means for different industries, including within Silicon Valley itself.

In December, Gmail developer Paul Buchheit predicted that 'AI will eliminate the search engine result page' and cause 'total disruption' for Google.

A New York Times report also said that Google executives sounded a code red within the company amid mounting pressure from ChatGPT.

Evidence does point to this being the case, as this week the internet search giant announced its own rival AI algorithm, Bard.

Google billed the software as an 'experimental conversational AI service' which answers users' queries and participates in conversations. 

CEO Sundar Pichai said the soft launch would be made available to 'trusted testers' to get feedback on the chatbot before a public release in the coming weeks.

However, the roll out turned sour when Bard got a question wrong in a promotional video later posted to Twitter — a mistake which wiped £100 billion off the value of Google's parent company Alphabet.

Experts were quick to suggest that the embarrassing gaffe was in part caused by the firm's decision to 'rush' out Bard ahead of schedule amid growing competition from ChatGPT and Microsoft.

The latter announced a new version of its Bing software – which features ChatGPT powers – just 24 hours after Bard was unveiled.

When the new Bing-ChatGPT collaboration is rolled out, the search engine will be able to supply clear answers in plain language that have been drawn from web results and its own data vaults 

This week, Google released its own AI technology, Bard. This advert for it showed the tool giving a wrong answer to a prompt about the James Webb Space Telescope

When ChatGPT was released by start-up OpenAI in December, it opened the eyes of the public to just how powerful the technology has become in accurate years

WHAT PROBLEMS DO AI DEVELOPERS FACE? 

The first is knowing how best to incorporate an internet search with an AI tool.

This may manifest as multiple results from different viewpoints, which is what Google says its search engine will do.

Another is bias, as it is picked up from the data they are trained from.

The use of these algorithms has been controversial in the past because they can perpetuate societal biases like those around race, gender and culture. 

The final major roadblock when it comes to the AI-powered search engines is with user trust, as it has been known to supply factually inaccurate responses.

OpenAI has acknowledged ChatGPT's tendency to respond with 'plausible-sounding but incorrect or nonsensical answers', an issue it considers challenging to fix.

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When Bing is fully rolled out, the search engine will be able to supply clear answers in plain language that have been drawn from web results and its own data vaults.

Users will be able to make their queries more concise by chatting with the bot, if they don't initially get the results they are looking for.

It is informed by real-time web data so it will be able to brief users on current events, unlike ChatGPT which is currently limited to data from 2021 for its answers.

A preview of the new Bing is currently available on desktop computers and will be made available for mobile devices in coming weeks.

But it's not all over for Google yet, as, alongside Bard, the company is planning to release its own 'generative' AI with search results.

Generative AI tools create completely new text, images, video or audio by drawing on the data it was trained on as well as new prompts.

'They might help a local baker collaborate on a cake design with a client, or a toymaker dream up a new creation,' said Google executive Prabhakar Raghavan at a launch event in Paris on Wednesday.

'As we continue to bring generative AI technologies into our products, the only limit to search will be your imagination.'

These multi-sentence responses will appear in a separate box at the top of the search, similar to where definitions, calculations and trading charts appear currently.

Alongside Bard, Google is planning to release its own 'generative' AI in search results. Generative AI tools create completely new text, images, video or audio by drawing on the data it was trained on as well as new prompts

While developments towards the ultimate AI-powered search engine is under way, Dr Mark Lee, a Professor of Artificial Intelligence at the University of Birmingham, says there are still problems to overcome.

The first is knowing how best to incorporate the humble internet search with a personal assistant tool.

'The obvious approach is to provide both as answers to any query, but I'm not convinced this is the best way,' he told MailOnline.

'A better integration might be to use the AI curate and comment on the search results.'

This may manifest as multiple results from different viewpoints, which is what Google says its search engine will do.

A company blog post reads: 'Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web.

'Whether that's seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner.'

Dr Lee also says that bias is another issue developers are facing with their AI search engines, as this is picked up from the data they are trained from.

The use of these algorithms has been controversial in the past because they can perpetuate societal biases like those around race, gender and culture. 

In 2016, Microsoft was forced to apologise after an experimental AI Twitter bot called 'Tay' said offensive things on the platform.

It was aimed at 18 to-24-year-olds and designed to Excellerate the firm's understanding of conversational language among young people online.

But within hours of it going live, Twitter users took advantage of flaws in Tay's algorithm that meant the AI chatbot responded to certain questions with racist answers.

These included the bot using racial slurs, defending white supremacist propaganda, and supporting genocide.

Ever since ChatGPT's launch, experts have been weighing in on what this means for different industries. In December, Gmail developer Paul Buchheit predicted that 'AI will eliminate the search engine result page' and cause 'total disruption' for Google

Another roadblock when it comes to the AI-powered search engines is with building user trust in its responses.

'ChatGPT, at least the open research version, is quite happy to make up facts or invent references to support its arguments,' said Dr Lee.

OpenAI has acknowledged ChatGPT's tendency to respond with 'plausible-sounding but incorrect or nonsensical answers', an issue it considers challenging to fix. 

Indeed, Microsoft hopes user feedback will Excellerate the AI-assisted Bing, which officials said may still produce factually inaccurate information. 

Their camp is not the only one having a problem with inaccuracies, as an advert for Google's Bard that was released this week showed the tool giving a wrong answer to a prompt about the James Webb Space Telescope. 

It said that 'JWST took the very first pictures of a planet outside of our own solar system', but actually the Very Large Telescope array in Chile did this in 2004.

The error caused shares in Alphabet, Google's parent company, to fall by as much as nine per cent. 

ChatGPT is a large language model that has been trained on a massive amount of text data, allowing it to generate eerily human-like text in response to a given prompt

A ChatGPT response after it was asked to write an essay about how important it is for the UK and Switzerland to be part of the EU's research program Horizon Europe

ChatGPT accused of being 'woke' after refusing to praise Donald Trump 

Popular chatbot ChatGPT has been accused of being 'woke' after a string of responses displaying a heavy left-wing bias, according to a computer science professor at the University of Washington. 

Among them, it said praising former Donald Trump was 'not appropriate' despite complimenting President Joe Biden's 'knowledge, experience and vision'. 

It also said advocating fossil fuels is against its programming while going on to recommend renewable energy sources including solar and wind. ChatGPT also wouldn't tell a joke about women as doing so would be 'offensive or inappropriate', but happily told a joke about men.

Read more here 

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Some industry experts have claimed that this was gaffe made because Bard has been 'rushed' out before it's ready, thanks to pressure from Microsoft and ChatGPT.

Edward Coram James, CEO and co-founder of search engine marketing agency Go Up, said that Google's 'hand has clearly been forced'.

He told MailOnline: 'Google already has a form of AI (LaMDA) that, in the industry, is considered to be more sophisticated than ChatGPT.

'They have withheld releasing it due to monetisation and accuracy concerns, but, with ChatGPT, their hand has clearly been forced, and they are rolling out Bard, presumably ahead of schedule.'

LaMDA is the tech giant's most advanced AI chatbot, that can understand and create text that mimics a conversation.

The initial release of Bard uses a lightweight model version of LaMDA which requires significantly less computing power, allowing for more users.

Dr Lee, however, does not think that Google has been swayed too much by accurate releases from Microsoft and OpenAI.

He told MailOnline: 'I'm not sure it's correct that Google is rushing its version out.

'Microsoft owning the commercial licence for ChatGPT was always going to disrupt the internet search engine space. 

'All of these chatbots rely on Large Language Models which are used to train deep neural networks.'

Neural networks try to simulate the way the brain works in order to learn, and are also used in smart assistants like Siri and Cortana.

They can be trained to recognise patterns in information – including speech, text data, or visual images – and are the basis for a large number of the developments in AI over accurate years.

In 2016, Microsoft launched its latest artificial intelligence bot aimed at 18 to 24-year-olds to Excellerate their understanding of conversational language among young people online. Within hours of it going live, Twitter users took advantage of flaws that meant the bot responded to questions with offensive answers (picutred)

The use of these algorithms has been controversial in the past because they can perpetuate societal biases like those around race, gender and culture. Pictured: An AI machine showing bias towards white people over people of colour during tests by scientists (shown)

Google's new AI made a gaffe because it was 'rushed' out, experts say 

Google's new AI chatbot made an embarrassing gaffe because it was 'rushed' out ahead of schedule amid growing competition from ChatGPT and Microsoft, tech industry experts claimed today.

The mistake – which saw Google's Bard get a question wrong in a video posted to Twitter – wiped off £100 billion from the firm's value.

Gil Luria, a senior software analyst at DA Davidson, said Google had been 'scrambling' to catch up in the arms race to make search engines more human-like with the help of artificial intelligence.

Read more here 

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Dr Lee added: 'Bing has trailed behind Google for a number of years despite its integration in Microsoft Windows, and the integration of AI-powered chatbots is a very smart move.

'Most internet searches are looking for quick information or, nowadays more likely, videos and blogs rather than documents.

'Google was always going to follow this with its own AI. The other competitor is Baidu in China that is launching Ernie, which is similar.'

Mr Coram Jones agrees that the beta version of Bing shouldn't rattle Google too much, largely because of ChatGPT's continual inaccuracies.

He told MailOnline: 'With Google's search results pages, searchers can cross check different results to get a multitude of answers to the same question, thus coming to a consensus about what is correct and what is not.

'ChatGPT offers one answer, but puts this forward with the confidence of accuracy, however it has been shown to be inaccurate much of the time. 

'Until this accuracy issue is sorted - no mean feat - Google’s presentation of diversity in answers will always be preferred.'

The search engine expert also thinks that providing a single answer to those searching online actually goes against what they are looking for.

A list of results to skim through 'keeps scattered minds busy' and fulfils 'our need to be actively "doing" something', he said.

Providing multiple sources also goes some way to build user confidence in the results, and therefore also the search engine.

Mr Coram Jones told MailOnline: 'It allows the searcher to believe that they have come to a conclusion on their own, after doing their own research.

'By providing only one source and one answer, ChatGPT, as an isolated engine, is unlikely to build that confidence.'

Tech industry experts say that Google was 'rushed' into announcing Bard, its chatbot powered by artificial intelligence (AI), to rival the revolutionary ChatGPT

Shares in Alphabet fell as much as nine per cent after its new artificial intelligence bot, Bard, showed inaccurate information on the advertisement

While Silicon Valley is currently locked in an AI civil war, it is not just the tech giants looking to incorporate the technology into their businesses.

Greetings card retailer Moonpig has revealed it is looking into integrating ChatGPT into its online platform.

This means that customers will be able to use the large language model to write a personalised message for inside their card. 

Chinese e-commerce companies Alibaba and JD.com have both announced they are developing ChatGPT-style technologies of their own too.

With OpenAI's original software freely available to the public, and businesses tacking it onto their online products wherever possible, it may not be long until we are completely surrounded by AI-generated text.

'It's common now for AIs to write blogs for social influencers and celebs,' said Dr Lee.

'I wonder if this is going to leave the fans seeking more human generated content – if they can tell that is.

'I suspect the next leading search engine will be one with the best AI and far more like a personal assistant than a search engine.'

 Sun, 12 Feb 2023 02:36:00 -0600 text/html https://www.dailymail.co.uk/sciencetech/article-11723499/Could-ChatGPT-replace-Google-Experts-weigh-win-race-AI-search-engine.html Killexams : CBSE 12th English Previous Year Question Papers: obtain link, exam format and instructions CBSE Class 12 Question Papers: The CBSE Board exam 2023 has begun on February 15, 2023. Some students have already appeared for the exams while some are waiting for their papers. The CBSE Class 12 exams for main subjects are yet to be started. Meanwhile, students can check the CBSE 12th English Previous Year Question Papers in this article for exam preparation and practice.
English has been divided into categories like English Elective and English Core. To add to a student's skills and for practice, CBSE Class 12 English previous years question papers are beneficial during exam preparation. The question papers of previous years help students to understand the question paper pattern, marking scheme, and time management.
Here are CBSE 12th English Previous Year Question Papers

Web Story: Consequences of Cheating in CBSE Board Exams
Students can also obtain more sets of Class 12 previous years' question papers for CBSE English exam by following the below-mentioned steps.
How to obtain CBSE Class 12 English Previous Year Question Papers?
Step 1: Visit the official website of CBSE at www.cbse.gov.in
Step 2: Go to the Board Examinations section on the homepage.
Step 3: Different links subject-wise for Class 12 previous years' question papers will appear on the screen.
Step 4: Click on the link and check.
Step 5: obtain the Class 12 English CBSE previous years' question papers.
Download more Question Papers here


CBSE Class 12 English exam 2023: Important Instructions for Students
  • Check the total number of printed pages of the question paper as mentioned in the instructions.
  • Question Paper Code number given on the right-hand side of the question paper should be written on the title page of the answer book by the student.
  • Check the number of questions that the paper contains.
  • Write down the Serial Number of the question in the answer book before attempting it.
  • 15-minute time will be allotted to read the question paper. The question paper will be distributed at 10:15 AM. From 10:15 AM to 10:30 AM, the students will read the question paper only and will not write any answer in the answer book during this period.

  1. When is CBSE Class 12 English exam?

    The CBSE will conduct the English paper on February 24, 2023, at various examination centres across the country.
  2. What is the reporting time for CBSE 12th English paper?

    As the exam is scheduled to commence at 10:30 AM and students will get the question paper to go through at 10:15 AM. So students are advised to reach the examination centre at least an hour before the set time for question paper distribution.
  3. What is the duration of CBSE 12th English exam?

    The English paper for Class 12 CBSE will be conducted from 10:30 AM to 1:30 PM at all examination centres.
  4. How to obtain CBSE Class 12 English trial Papers?

    Students can visit the official website of CBSE at https://www.cbse.gov.in/ and obtain the trial papers for English subject or click on the link provided above in the article.
  5. How to check CBSE 12th English Marking Scheme?

    Students can check and obtain the marking scheme for the English paper from the Board's official website.
 Thu, 16 Feb 2023 18:07:00 -0600 en text/html https://timesofindia.indiatimes.com/education/news/cbse-12th-english-previous-year-question-papers-download-link-exam-format-and-instructions/articleshow/98001868.cms Killexams : CUET UG 2023: exam Format, Subject Choices to Remain Same, Check Details Here

 DU Chairman stated that for the CUET exam 2023, the syllabus and options will be the same this year as the previous years. The participating candidates will have the same number of choices for subjects and also the same format will come in the exam paper. This test will involve Multiple Choice Questions in CBT mode. More information has been mentioned below.

DU UG CUET 2023 exam Pattern & Subject Choices will not be changed
DU UG CUET 2023 exam Pattern & Subject Choices will not be changed

DU UG CUET 2023: The Chairman of the University Grant Commission (UGC), M Jagadesh Kumar recently announced that there will be no changes in the exam format of the Central University Entrance Test (CUET) in 2023. Moreover, the number of examination centres is likely to elevate from around 450 to about 1000 respectively. 

As per the latest notification, there were various complaints received regarding the CUET exam conduct. Despite some glitches in the examination, the first-ever national was organized across 45 central universities in the previous year 2022. The exam is conducted for admissions to Undergraduate and Postgraduate programmes offered by the varsity. The National Testing Agency (NTA) earlier took the decision to make changes to this year’s exam paper.

The appropriate measures to be considered by the officials such as the reduction in the number of subject combinations on offer along with a review of the number of cities where the exams are conducted.

Technical Glitches in CUET Exam

In 2022, there was a short delay in the intimation of exam centres and many centres faced technical glitches. Also, it was reported that the question paper was uploading at a very slow speed. The system was not working in an optimized manner. 

These above-mentioned technical faults were informed on August 25, 2022, when the Chief of the National Testing Agency (NTA) Vineet Joshi discussed the problems related to the conduct of the CUET exam. It was also mentioned that a committee headed by the Vice-Chancellor of the Central University of Punjab had been established for successful implementations of CUET.

CUET UG 2023 exam Details

UGC Chairman M Jagadesh Kumar stated that this year, everything will remain the same in the Delhi University entrance test. Students will be provided with the same choices of subjects and the exam will be completely in computer-based mode (CBT) involving multiple-choice questions, as decided by the varsity.

In addition to this, 14.9 lakh students registered for the CUET exam last year for which more than 450 centres were needed each day. Hence, this year preparations are going on for about 1000 centres. An extra number of centres will be assigned so that problems like last year do not arise during the conduct of the exam. NTA is offering 27 domain-specific subjects as well as 33 languages, out of which a candidate will have to choose a maximum of nine subjects. 

Also Read: IIT Guwahati to Conduct First Ever Youth20 Group Meet Today, Check Details Here

REGISTER FOR RESULTS UPDATES
 Sun, 05 Feb 2023 17:35:00 -0600 text/html https://www.jagranjosh.com/news/cuet-ug-2023-exam-format-subject-choices-to-remain-same-check-details-here-167097 Killexams : Control room for CCTV surveillance of UP Board exam centres gets functional LUCKNOW: Secondary education minister Gulab Devi on Monday inaugurated the state-level 'monitoring and control room' set up for CCTV surveillance of the upcoming UP Board exams scheduled from February 16.
Located on the ground floor of the secondary education directorate on Park Road, this 2,500 sq ft room is the nerve centre of the state government's campaign to stop the menace of cheating.
With over 58.8 lakh registrations, the UP Board 2023 examinations will be conducted in 1.4 lakh classrooms in 8,753 centres from February 16 to March 4. Each examination hall has two CCTV cameras, voice recorder and router to be used for live monitoring.
The state-level control room is set up for CCTV surveillance and is connected to all district control rooms to monitor voice recordings of nearly 2.9 lakh CCTV cameras at all examination centres.
 Mon, 13 Feb 2023 17:45:00 -0600 en text/html https://timesofindia.indiatimes.com/city/lucknow/control-room-for-cctv-surveillance-of-up-board-exam-centres-gets-functional/articleshow/97898494.cms Killexams : CAT 2023 Exam: Section-Wise exam Preparation Tips to Assure Success

The CAT exam is one of the most challenging exams out there, and for those looking to join top business schools in India, it's an absolute must. But conquering the CAT can seem like a daunting task - luckily, this article provides you with the tools you need to ace this high-stakes test! Get ready to explore our section-wise study guide and tips for success as we prepare ourselves for the upcoming CAT exam 2023.

Introduction to the CAT exam and What to Expect

The CAT exam is a computer-based test that assesses a candidate's ability to think critically and solve problems. The exam consists of three parts: verbal, quantitative, and analytical. Each section contains a variety of question types, ranging from multiple-choice to essay.

Candidates are given 2 hours to complete the exam. It is important to note that the CAT exam is not a pass/fail test; instead, it is meant to provide insights into a candidate's strengths and weaknesses. The results of the CAT exam are used by business schools to make admissions decisions.

CAT 2023 Exam: Section-wise Tips to Score Maximum Percentile: -

Firstly, we need to know the CAT exam Pattern, Understand the Question Types & Create a Study Plan.Assuming you are a fresher, seeking admission into the Indian Institutes of Management (IIMs), here are key section-wise tips to help you prepare for the CAT exam 2023:

1) Quantitative Aptitude Section of the CAT Exam

The Quantitative Aptitude section of the CAT exam is one of the most important sections in the exam. This section tests your ability to solve mathematical problems and to interpret data. The questions in this section are based on arithmetic, algebra, geometry, and data interpretation. Some tricks for quantitative aptitude:

  • To score well in this section, you need to have a strong understanding of basic mathematical concepts.
  • You also need to be able to apply these concepts to solve complex problems.
  • Furthermore, you need to be able to interpret data and draw logical conclusions from it.

2) Data Interpretation and Reasoning Section of the CAT Exam

Data Interpretation, Reasoning is one of the most important sections of the CAT exam. This section tests your ability to interpret data and make logical deductions. The questions in this section are based on charts, graphs, and tables.

You will be given a set of data and you will be required to answer questions based on that data. The questions will test your ability to understand the data, make deductions from the data, and to solve problems. Here are tips you can use:

  • To do well in this section, you need to have a good understanding of basic concepts such as percentages, averages, ratios, and proportions.
  • You also need to be able to understand complex concepts such as permutations and combinations.
  • Practice is the key to success in this section. You should attempt as many practice questions as possible.
  • In addition, you should also read books and articles on data interpretation. This will help you develop a better understanding of the concepts involved.

3) Verbal Ability Section of the CAT Exam

The Verbal Ability section of the CAT exam is designed to test your ability to understand and interpret written English.

  • Read a lot: This is the best way to Excellerate your understanding of written English. Read books, newspapers, magazines, online articles, etc. on a regular basis. Not only will this Excellerate your understanding of the language, but it will also help increase your vocabulary.
  • Practice practicing comprehension passages: In order to do well in the RC section of the CAT exam 2023, you need to be able to understand long and complex passages quickly. To help with this, make sure to practice practicing comprehension passages on a regular basis. You can find practice passages online or in textbooks specifically designed for CAT preparation.

Mock Tests & Practice Questions

CAT Mock Test trial Papers | Previous Years Question Papers for 2023 Exam
CAT Mock Test trial Papers | Previous Years Question Papers for 2023 Exam

Recommended Links:

For CAT 15 Mock Test trial Papers for the 2023 exam – Click Here

For Best CAT exam Books for 2023 exam Preparation – Click Here

For CAT exam Previous 25 Years Question Paper with Solutions For the 2023 exam – Click Here

For CAT Syllabus for the 2023 exam – Click Here

In order to decode the exam pattern for CAT 2023 Exam, it’s required to undertake practice with as many CAT Mock Test trial Paper as possible. This will not only help you get familiar with the exam format, but also allow you to identify your strengths and weaknesses.

You may opt for CAT Mock Test trial Papers of some renowned publishers such as Oswaal Books, that have exam-ready toolkit such tips, short-tricks, quick revision notes, mind-maps that helps to score maximum percentile. This book is also useful for SNAP, NMAT & XAT Exams.

However, it is important to be careful when using these resources, as some of them may not be of high quality.

Once you have access to the CAT Mock Test trial Paper for the 2023 Exam, it is time to start studying! Begin by looking at the question types that will be on the exam, and then focus on practicing those types of questions. If you can find some trial exams, even better - this will help you get an idea of what to expect on test day.

With enough practice, you will be able to confidently walk into the CAT exam feeling prepared and ready to conquer it!

Conclusion

The CAT exam is a formidable challenge, but with the right preparation and dedication, it can be conquered. By following our section-wise study guide and tips for success you should have all the confidence and knowledge necessary to succeed in this exam. With enough practice and hard work, you will be able to ace your CAT exam 2023! So, start working on it today! Good luck!

Disclaimer: This article is a paid publication and does not have journalistic/editorial involvement of Hindustan Times. Hindustan Times does not endorse/subscribe to the content(s) of the article/advertisement and/or view(s) expressed herein. Hindustan Times shall not in any manner, be responsible and/or liable in any manner whatsoever for all that is stated in the article and/or also with regard to the view(s), opinion(s), announcement(s), declaration(s), affirmation(s) etc., stated/featured in the same.

 Thu, 09 Feb 2023 23:24:00 -0600 en text/html https://www.hindustantimes.com/brand-stories/cat-2023-exam-section-wise-exam-preparation-tips-to-assure-success-101676014122156.html Killexams : Microsoft's New AI Can Imitate Your Voice With Just A 3-Second Sample © Provided by TheGamer

The AI are coming and they don’t stop coming. From AI art generators that can make Dungeons & Dragons characters to chat bots that can DM an entire D&D game, AI is becoming increasingly powerful. And now not only can it mimic the art styles of various artists, but AI can also mimic our voices too.

We’ve already seen AI voice tech being used in video games, but Microsoft’s Vall-E promises to be even easier to use. Dubbed a "neural codec language model", Vall-E (an homage to OpenAI’s Dall-E art generator) has been trained on over 60,000 hours of speech, making it "hundreds of times larger than existing systems."

Related: AI Art Has No Place In Gaming

You can see a demo of Vall-E on Microsoft’s GitHub page here (thanks, Rock Paper Shotgun). The system can recreate a specific voice with just three seconds of dialog, allowing the user to simply type what they want that voice to say to create paragraphs upon paragraphs of spoken audio.

While this sort of tech--along with impersonation tech like Deepfake--represents an enormous threat in the way against misinformation online, voice actors are rightly concerned that this could put them out of a job.

Altera AI, a company focused on using AI to create realistic vocal performances, was reportedly used in the creation of The Ascent and Hellblade, according to GLHF. Ninja Theory responded to the report clarifying that it uses AI for placeholder vocals until a human performance can be scheduled. Neon Giant, the makers of the Ascent, noted that AI vocals have been a huge boon for the former indie developer.

Before every voice actor starts phoning their union rep, we should note that Vall-E isn’t perfect. As you can hear in the samples, it seems to have a bit of trouble recreating the same emotional tone as the human examples, although it pretty much nails it for a vocally flat narration. AI might have a gig in the nature documentary business, but video game voice actors probably don’t have to worry just yet.

Next: Cyberpunk 2077's Story Is At Odds With Its Open World Design

 Mon, 09 Jan 2023 06:09:00 -0600 en-US text/html https://www.msn.com/en-us/news/technology/microsofts-new-ai-can-imitate-your-voice-with-just-a-3-second-sample/ar-AA168RC1 Killexams : Microsoft’s ChatGPT-powered Bing is open for everyone to try starting today

Microsoft’s ChatGPT-powered Bing is open for everyone to try starting today

Microsoft’s ChatGPT-powered Bing is open for everyone to try starting today

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The limited preview will open up for full access soon. You can join the waitlist now.

By Mitchell Clark and Emma Roth

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A photo of a slide saying “available today in limited preview” with logos of Bing and Edge beneath. It lists a website bing.com/new.
A slide announcing AI chat features in Bing and Edge.
Photo by Vjeran Pavic / The Verge

Microsoft’s new ChatGPT-powered Bing experience will be available today for everybody as a “limited preview” on desktop. You’ll have a limited number of queries that you can use with it, but you will be able to sign up for full access soon.

If you visit Bing.com, you may see some example searches that you can try out, if it shows you the new interface. Clicking on them will lead you to a Bing search page with traditional results on the left, and a chat window on the right with the AI-generated answer. Until you have full access, you won’t be able to ask follow-up questions or clarify the results. Searching for your own query will supply you Bing’s traditional search results, despite the homepage using the new chat-style UI.

A preview of what the chat tool will look like.
A preview of what the chat tool will look like.
Screenshot: Mitchell Clark / The Verge

You can join the waitlist here, and Microsoft says you’ll get higher priority if you sign in with your Microsoft account, set Microsoft defaults on your PC, and obtain the Bing app. According to an FAQ, you’ll get an email when you’re through the waitlist and can access the new chat experience.

The company expects to roll out access to millions of people within the coming weeks, as well as to roll out a mobile version of the experience. In a blog post about the rollout, Microsoft says it’s “excited to put the new Bing and Edge into the real world to get the critical feedback required to Excellerate our models as we scale.”

The waitlist page shows some examples of what you can use the tool for, such as asking it to create a three-course vegetarian menu for six people with a chocolate dessert or to find an all-wheel drive car that seats six and has a sub-six-second 0–60 time.

Screenshot of example queries you can run with Bing, including “create a 3-course menu,” “help plan my special anniversary trip,” and “write a rhyming poem.” One example question is “I just went fishing in Bighorn in Montana and I would like to go fishing in the Florida Keys in the Spring. What do I need to do differently to prepare?”
Some of the example queries you can try right now. I’ve heard Florida’s lovely this time of year.
Screenshot: Mitchell Clark / The Verge

To enable Bing’s AI-powered features, Microsoft’s working with OpenAI, the company behind the ChatGPT chatbot. However, Microsoft claims that it’s using a “next-generation OpenAI large language model” that’s even “more powerful than ChatGPT.”

With the new Bing, users can input queries up to 1,000 words long and receive annotated AI-generated answers that will appear alongside regular search results from the web. Microsoft’s also adding a way to refine these results using a new built-in chatbot on Bing.

Related

The company made the announcement as part of its surprise press event on Tuesday, where it also revealed news about an AI-powered “copilot for the web” that will appear on Microsoft Edge. The tool can perform a variety of tasks while you’re using the browser, such as summarizing a PDF that you’re viewing, generating code, and even creating a post on social media.

Microsoft announced the news just one day after Google revealed that it’s working on a similar AI-powered tool called Bard. The two companies are currently engaged in a heated battle over the future of AI, and this is likely just the beginning.

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