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PEGAPCLSA86V2 Lead System Architect (LSA) Pega Architecture information source |

PEGAPCLSA86V2 information source - Lead System Architect (LSA) Pega Architecture Updated: 2023

Precisely same PEGAPCLSA86V2 questions as in real test, WTF!
Exam Code: PEGAPCLSA86V2 Lead System Architect (LSA) Pega Architecture information source June 2023 by team
Lead System Architect (LSA) Pega Architecture
Pegasystems Architecture information source

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Lead System Architect (LSA) Pega Architecture
Question: 39 Corporation is designing an Order Fulfillment application built on an Inventory application. Both applications
reuse a section that displays Part details.
Where do you configure the PartOetails section?
A. In an Inventory ruleset within the Inventory applications work pool class
B. In an Order Fulfillment luleset within the Order Fulfillment applications Parts data class
C. In an Enterprise ruleset within the Inventory applications Paits data class
D. In an Order Fulfillment ruleset within the Order Fulfillment applications work pool class
Answer: C
Question: 40
Select two ways for queuing an item for a queue p
A. Use the Queue-for-processing method
B. Use Utility smart shape
C. Use Run in Background smart shape
D. Use the Queue for -agent method
Answer: A,C
Question: 41
application ABC defines and creates survey cases based on a customer s profile. a second
application, ABCproxy, is hosted in a cloud environment. the ABC proxy application creates a survey proxy case on
demand from application ABC. The questions contained in the survey case are transferred to the survey proxy case.
customers answer questions on the survey using the ABC proxy application. the completed survey information is
passed back to the survey case created by application ABC. the company wants to use REST services to accomplish
this interface. select and move the three options that are needed to satisfy the requirement to the configuration columns
and place.
Graphical user interface, text, application
Description automatically generated
Question: 42
An application processes stock market trades.
Which two requirement are best implemented by an advanced agent?
A. call a service every day at 5: 00 am to get the marker open and close time, and recird the result
B. Excute a trade cae only after the stock reaches a certain price
C. create a case to audit an account if the customer trade more tha usd9999in a day
D. complete unexecuted trade when the market
Answer: A,D
Question: 43
How do you begin your research to diagnose the cause of the reported performance issue?
A. Look at the performance profile and DB Trace out put from each node.
B. Observe the cluster and node status on the Enterprise Health Console.
C. Review guardrail warnings in the development environment to determine if any rules with warnings moved to
D. obtain the alert log file from each node and analyze the contents in the Pega Log Analyzer.
Answer: B
Six weeks after you deliver your application to production, your users report that the application slows down in the
afternoon. The application is almost completely unresponsive for some users shortly after
3:00 P.M. Other users do not experience this problem until later in the day.
You do not have access to the Production environment, but you do have access to AES.
The production environment has three nodes and a load balancer.
You need to resolve this issue because a new division of the organization will start using the application next month.
Question: 44
Given the following classes and properties:
myco-data-shape (abstract)
a page list property .shapes is defined as being of the abstract class myco-data-shape.
select two correct statements. (choose two)
A. a rule defined in myco-data-shape-rectangle can modify the. Color property.B. pages of shapes can contain. length
and. Radius.
B. A rule existing in myco-data-shape can be overridden in myco-data-shape-circle.
C. pages of .Shapes can be of either myco-data-Shape-rectangle or myco-data-shape-circle, but all pages must be the
Answer: B,C
Question: 45
You are configuring the container settings of a display a title. The title is based on the type of loan requested
Answer: check the answer below.
Question: 46
An application include two case types: expense report and purchase requests which two steps are required to enable
support for both case type for offline user on a mobile device?
A. Configure the application record to enable offline access
B. Configure the users access group to enable offline access.
C. configure both case type to enable offline access
D. Configure the application to build a custom mobile app
Answer: B,C
Question: 47
XYZ Corp requires employees to designate alternate operators to perform their work while they are on vacation. Work
vacationing operators should be visible to alternate operators.
How do you configure the application to handle this requirement?
A. Add a ValueList Property to Data Admin-Operator-ID. Alternate operators add vacationing persons to their
ValueList. Modify the Assign Worklist report definition to include this ValueList. Modify security accordingly to
allow access.
B. Modify the user portal to only display team members for which the operator has been
designated an alternate. Clicking on an operator displays that operators worklist. Assignments are opened accordingly.
C. Define a custom Access When rule named pxAssignedToMeOr Alternate. Modify the pyUserWorkList Report
Definition using this rule to display every Assign-Worklist assignment within the WorkGroup.
D. Develop an agent that transfers worklist assignments from the operator going on vacation, when that vacation starts,
to the alternate operator. When vacation ends, transfer uncompleted assignments back.
Answer: B
Question: 48
XYZ corp expects managers to create a variety of reports. Those reports are always based on the same set of classes,
but every report does not use every class in the set.
to simplify report creation for managers, you create________________________
A. numerous sample reports showing how to join the classes
B. association rules for the classes in this set
C. a template report with every class join predefined
D. a declare trigger that restricts report class joins to this set
Answer: B
Question: 49
A pega application has cases that represent customer accounts each with many members.
When a member of a customer account registers with the application through an offline component, a related
registration transaction is recorded. An advanced agent updates the customer account cases with new members. The
application is running in a multimode system and advanced agents are enabled on all nodes.
Which two elements are valid design choices? (choose two)
A. Use the optimistic locking option on the case types.
B. Create a Registration subcase configured to run in offline mode.
C. Leverage the default object lock contention requeuing capability.
D. Override DetermineLockString to use .AccountID instead of .pyID as the lock string.
Answer: B,C
Question: 50
Which two actions can yon perform to Excellerate the guardrails compliance score of an application? (Choose
A. Ensure keyed data classes are not mapped to pr-other where possible.
B. Convert activities that only retrieve data to data transforms that invoke data pages.
C. Achieve a higher application level test coverage percentage score.
D. Increase the percentage of unit tests and scenario tests that pass.
Answer: A,B
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Pegasystems Architecture information source - BingNews Search results Pegasystems Architecture information source - BingNews Chapter 10: Information Theory and Source Coding Just a moment...
Sat, 17 Feb 2018 11:57:00 -0600 en-US text/html
Pega Announces Pega GenAI to Infuse Generative AI Capabilities in Pega Infinity '23 Just a moment...
Tue, 23 May 2023 05:55:00 -0500 en-US text/html
History Of The SPARC CPU Architecture

[RetroBytes] nicely presents the curious history of the SPARC processor architecture. SPARC, short for Scalable Processor Architecture, defined some of the most commercially successful RISC processors during the 1980s and 1990s. SPARC was initially developed by Sun Microsystems, which most of us associate the SPARC but while most computer architectures are controlled by a single company, SPARC was championed by dozens of players.  The history of SPARC is not simply the history of Sun.

A Reduced Instruction Set Computer (RISC) design is based on an Instruction Set Architecture (ISA) that runs a limited number of simpler instructions than a Complex Instruction Set Computer (CISC) based on an ISA that comprises more, and more complex, instructions. With RISC leveraging simpler instructions, it generally requires a longer sequence of those simple instructions to complete the same task as fewer complex instructions in a CISC computer. The trade-off being the simple (more efficient) RISC instructions are usually run faster (at a higher clock rate) and in a highly pipelined fashion. Our overview of the modern ISA battles presents how the days of CISC are essentially over.

IBM may have been the first player exploring RISC processor concepts, however work by two different university groups was more visible and thus arguably more influential. The Stanford group commercialized into MIPS  and Berkeley RISC commercialized into SPARC.

SPARC Versions 7 and 8, the first two versions of SPARC, were 32 bit architectures. Evolution to SPARC Version 9 jumped up to 64 bits but preserved backward compatibility. While having 64 bit registers, legacy 32 bit instructions operated identically as they had in previous versions.  Only a handful of new 64 bit instructions were required and those automatically made use of the upper 32 bits. Other advancements in SPARC Version 9 exploited knowledge from existing code to identify performance improvements. These included cache prefetch, data misalignment handling, and conditional moves to reduce branching. Other major improvements in SPARC Version 9 boosted OS performance.  These included instruction privileges, register privileges, and multiple trap levels.

The SPARC Version 9 improvements were defined by SPARC International, members of which include Sun Microsystems, Fujitsu, Texas Instruments, Cray, Ross, and others.  Sun was a significant part of SPARC International, but they did not go it alone.

Since SPARC Version 9, progress has mostly focused on multiprocessing with Fujitsu still manufacturing SPARC-based mainframes. SPARC has also become open and royalty free and found a footing in embedded computing.  Some have even synthesized SPARC processors onto inexpensive FPGAs.

Sat, 03 Jun 2023 11:59:00 -0500 Joseph Long en-US text/html
What is the source of information?

It is becoming extra important to be aware and think twice before accepting information from a given source on the internet or for example from another person. In today’s time anyone from anywhere can access any data within seconds.

With such ease in accessing information one would think that some core issues of the society like health and wellness, emotional well-being, etc. would and should Excellerate but unfortunately that has not been the case to a large extent. On the contrary, it can be observed that these core issues are on the rise. Onset of health problems from an early age due to misinformation/lacking awareness on food and nutrition is increasing at an alarming rate despite having the web of information that we can access easily today. If one is aware and mindful, then in true sense having this vast sea of information also poses a serious challenge for all of us.

There are many people / organizations that put out information that might be best for their self-interest but might not be good for the overall well-being of the society. These forces often mindlessly have an aim to make profits for their capitalistic agendas by willing to go to any lengths.

To set the points mentioned above in perspective, following are two examples that I have personally observed on a large scale. The lack of awareness on how important the food we consume is seriously alarming. People are putting “junk” in their bodies without even realizing what harm it does to them right away as it enters our system (we might not see the effects of such food right away, but it slowly builds up and ruins the body over time, taking us to the very point when onset of diseases start to happen). Now, a lot of times people are convinced that such food items are not that bad, and why, because information on internet backs that these foods are good for us. We fail to understand that the companies out there are analysing what pleases our taste buds, and then not a single thought is given further. The next steps for them are to directly come up with food items that are chemically processed (in a way that pleases our taste), manufactured, and packaged, and of course companies find ways to back and justify that these are good for us. Right away the chain of profits start coming their ways. At the same time, we continue to consume these without understanding that each time it enters our body, it is basically sowing the seed of diseases that start to come our way in a matter of time.

This leads us to the second example which is now as we start to have diseases because of consumption of such foods, our first response becomes to go seek treatment. From a young age we are prescribed medicines, and sadly we again feel satisfied that as we are having the medicine, we can continue to live the way we are. During this entire time companies / individuals who are selling such food items / medicines continue to earn big cash, but at what cost – cost is our health and fault is also ours, as we let them control us, and believe what they have to say without even a single question.

Therefore, a general rule of thumb could be to not believe and follow things that we see / read or are told blindly and mindlessly, while a reasonable approach could be to take a step back and not rush to come up with a decision right away. It is quite important to question new information, and then if anything makes sense to us, we can try to adopt it, and then further evaluate if it makes sense or not. It is crucial that we become very selective on what we are to incorporate in our lives.

As we see society might be having the set norms the way it does, it is important to not forget that we all as individuals are unique and different. Today, we are lucky that we have access to such data and information at no cost, but as we know with great power comes great responsibility. The responsibility at our end therefore becomes to identify and ensure that source of information has a genuine intent on improving and helping the society in becoming a better place to live, and direct us to push ourselves to live our lives to the fullest potential by becoming the best version of ourselves.

We all have the ability to question information, experiment with the information on ourselves, apply / adopt it if it makes sense, and then further evaluate if it is something to be incorporated in our lives on a sustained basis based on the experience we might get as we experiment with it!

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Views expressed above are the author's own.


Tue, 30 May 2023 05:43:00 -0500 Mudit Pant en-US text/html
Information Architecture
What is information architecture?

Information Architecture [IA]

  1. The structural design of shared information environments.
  2. The art and science of organizing and labeling web sites, intranets, online communities and software to support usability and findability.
  3. An emerging community of practice focused on bringing principles of design and architecture to the digital landscape. (Adapted from EuroIA and the Information Architecture Institute.)
  4. The analysis and design of the data stored by information systems, concentrating on entities, their attributes and their interrelationships; the modeling of data for an individual database; and the corporate data models an enterprise uses to coordinate the definition of data in several distinct databases (in information system design).
  5. Some have suggested IA is analogous with "taxonomy." A contrary view is that the activities involved in the creation of a taxonomy are a subset of the activities involved in developing IA (since developing IA typically also involves articulating the objectives of the information, and understanding the intended audience). (Adapted from Wikipedia.)
IA — The key to a great web redesign effort

Unlike a physical building such as a house, where the architecture is directly visible and tangible, IA is more ethereal, and therefore sometimes hard to explain. (Raise your hands, those who understood all of the above definitions on first reading!)

When applied to a website, IA is more noticeable by its absence than its presence. For this reason, some people will tend to define IA based upon what is often lacking when the IA is not strong. I can't tell you how many of the RFPs for consultants made this mistake by equating IA with a site map, a menuing and navigation system, or some form of search optimization. This is a common, but false, equivalence.

Good IA is the blueprint and the foundation upon which the rest of the site is built. It is essential for the site map, navigation system, and search feature, as well as, for communicating a strategic message. Simply building a site where each of these are addressed independently, however, will not ensure (and will seldom produce) a strong IA. Solid IA not only provides a framework for developing these features, but allows for the evolution of the site—enabling the site to weather the inevitable changes to message, content, design and navigational structure— thus providing long-term sustainability for the site.

Without a good IA, we risk deploying an aesthetically appealing, technically sophisticated site with great content which will not grow with us. After such a great investment of time and resources in this redesign effort, it would be tragic, a few years from now, to be left wondering why it has devolved to a state (similar to its current condition) which seems unsustainable—where content cannot be found, strategic message is lost, there is no clear context for the placement of new information, and old and stale content are prevalent. Under such circumstances, the administration who funded the project, not to mention those of us who are devoting untold hours in its implementation, will be hesitant to embark upon such an undertaking again!

To go back to the physical analogy of a house, over time we'll often rearrange the furniture, paint the walls, replace carpet with hard-wood floors, and much more. None of this changes the architecture of the house. We might do some heavier re-facing to change the curb-appeal, or update the kitchen from "country" to a shiny stainless steel look. Does this cost money? Sure. Does it take time, talent, and expertise? Of course! But it doesn't change anything about the underlying structure of the house—which walls are load-bearing, or how deep the foundation was laid. And it doesn't take as much effort or money as replacing the foundation, or changing the load-bearing characteristics of the house on top of cosmetic updates.

As it applies to a website, we can swap out the content, design and navigation system. We can even modify our strategic message. This will take time, effort, expertise, and even money, to do well. But with a strong IA underneath, these can all be done much more easily, without having to lay a whole new foundation. Lacking strong IA, changes that ought to be the equivalent of laying new carpet become more akin to adding another bedroom, or possibly leveling the old house and building a new one in its place—after all, that carpet was getting really dated looking!

IA—Grasping the intangible

Let's consider two case studies to try to get a handle on what IA is—or, at least, how we can observe its presence or absence.

Let's look at the positive example first. Here's a search for "red wine" on

Notice that a list of categories is provided which the items that meet our search criteria can be sorted. Whether I'm looking for a book or song about red wine, or a camera (electronics) that is wine red in color, the search is actually useful. Even if what I want is not on the first page of results, I can get there quickly by selecting a category.

What is not apparent, because it is made to look easy and transparent, is that the ability to provide information (in this case items for purchase) in context by category is only possible because the information has this context by category already associated with it. To generate context on-the-fly by some form of data analysis is both slow and inaccurate.

Additional information about our content (whether the content is items for purchase, news stories, or multimedia) is called meta-data. There are various systems for managing metadata, making use of taxonomies, ontologies, or the like... At this point the details are unimportant (that's why we have a consultant, and why the consultant will help us in our CMS selection process). The big deal is to realize that there is a system and process that manages this metadata!

IA—A diversity of examples

Sometimes a lesson can be reinforced by comparing experiences of interacting with differently designed sites—some more transparent and simple than others. In these examples, let's look for a "cordless drill" across a number of sites:

You can click through all of the above if you like—but I'll summarize the results as we discuss them, so don't feel compelled to look at them all. The interesting thing to note here is the diversity of results. Given our previous example, we aren't surprised by the results on—and we find and a little different in terminology but similar in usefulness.

Google is interesting, in that it is a generic web search utility. Nevertheless, it provides results that are surprisingly good in two ways. First, the results are sorted by relevance—a "secret formula" Google has for figuring out what you wanted from the terms, and what pages are most likely relevant to what you wanted. This is automated metadata analysis at its best; and Google pays top-dollar for programmers to keep their "secret formula" ahead of the competition. (There are instances where Google does less-well at figuring out the relevant sites, but in this case, the results are not bad.)

The second surprisingly good element to these Google search results is the ability to focus Google to one type of result. Google presents additional context against which it can make this query. If you click the "more" link, you find additional contexts! From here I built the link for Google Products, which again provides reasonably "relevant" results in a generally useful fashion. We don't have the breakdown by "category" or "department" as we do within a single vendor's site. But we have to deliver point for the fact that this data is being pulled, all but dynamically, from the web itself!

I have selected Black and Decker for the dubious honor of counter-example. Searching the site for "cordless drill" (a class of item they manufacture) produces a list of results that remind us of Google search results, minus the sorting by relevance or narrowing by context. Remembering that Google indexes the entire web, while Black and Decker's search has a much more limited scope, we have to deduct major points from the latter's effort. It is difficult even to write a meaningful comparison of this to the retailers linked above. Images, prices, descriptions, and categorizations or contexts are provided in each of the respective storefronts, but not within the Black and Decker results.

There are two possible reasons why the retailers above make use of strong IA to help users find what they desire. First, they are retailers—they want you to find what you are looking for so you will buy it! Black and Decker, on the other hand, is not a reseller. So there is less direct financial incentive to increase the usefulness of the search function. The second reason may be a lack of strong IA underneath the system. The failure of the search system to perform well does not necessarily mean that the IA and metadata needed for this do not exist within their product database. It is possible that the search system was simply thrown together quickly without focus on making use of the IA underpinnings. If this is the case, the effort required to code new search capabilities should be attainable, as using existing metadata is not nearly as involved as generating the data from scratch. If, however, the metadata is not accessible (or non-existent), and the IA under the hood is limited, then deriving greater performance from the search feature means one of the following:

  • manually redirecting common search terms to useful landing pages (a never-ending maintenance nightmare)
  • paying top-dollar to get a Google-class programmer to develop a "secret formula" (used to derive relevance and context from the pages themselves)
  • or rebuilding from the ground up with a new IA (one that provides metadata supporting keywords, categories, relevance and context)

In limited defense of Black and Decker, one might argue that customers more often come to their corporate site to browse products by category, or to find information about a particular product. If we search the site for a product number, we get fewer results, with one of them generally pointing us to the correct product page. This is not to say that the retailers do not offer this feature on top of their search capabilities.

IA—the "so what" of the web redesign

What do we learn from all of this? That some sites have better search tools than others? Why don't we just buy a Google appliance and be done with it? Google certainly has great programmers, and can pull some semblance of order from the chaos of the web, can't they do that for a single site? What if I like Yahoo! results better? Can't Web 2.0 just let us aggregate all of our data (or all of the search engines)?

Let's go all the way back to the purpose of the site we're on right now:


What are the goals of the re.web project? We see terms like "navigation scheme," "search feature," "content model" and "information architecture." But the unwritten goal, as we read between the lines, is to establish something that is very unlike the chaos we have now, and something which won't devolve into the chaos we have now. What we want is a web presence that can handle the incorporation of a fresh message, fresh content, fresh media—a site which can even handle the evolution of the web itself!

We can't predict the future. We can't ensure that every scenario will be covered. But we know from experience that building a web presence in an unmanaged, organic fashion, without any underlying framework, doesn't work! The re.web project is our opportunity to build something which will work, and which will provide the infrastructure for sustainability.

One of the reasons mStoner was selected as our consultant is because the re.web RFP committee found evidence of a strong commitment to IA in the mStoner proposal, as well as, in the backgrounds of those assigned to our project. We believe they "get it"—and they'll leave us with a sustainable architecture for the future.

Tue, 28 Jul 2020 13:30:00 -0500 en text/html
Pega Infuses Generative AI into Platform to Boost Developer Productivity


Pegasystems Inc., the low-code platform provider empowering the world’s leading enterprises to Build for Change, is introducing Pega GenAI—a set of 20 new generative AI-powered boosters to be integrated across Pega Infinity ‘23, the latest version of Pega’s product suite.

“We’ve added a staggering number of powerful generative AI-powered boosters across Pega Infinity to help organizations quickly leverage the power of generative AI to work faster and more efficiently,” said Kerim Akgonul, chief product officer, Pega. “Our clients will have the flexibility and security to power our generative AI features and build their own using their large language models of choice. The Pega GenAI boosters released in Pega Infinity ‘23 are just the start—we plan to add new ones on a regular basis as we continue to evaluate new ways to responsibly and securely leverage generative AI and as new models come to market.”

Pega GenAI will provide organizations with the architecture and integrated use cases to drive value from generative AI now and into the future, according to the company.

Because the responses from generative AI are mapped directly into Pega’s model-driven architecture, low-code developers can easily configure and change these suggested starting points to rapidly deliver a completed application.

Pega GenAI boosters like these will be infused throughout Pega Infinity, allowing users to accelerate their low-code application development, enhance customer service, and Excellerate customer engagement.

A new API abstraction layer, called Connect Generative AI, will allow organizations to get immediate value from generative AI with a plug-and-play architecture that allows for low-code development of AI prompts.

Rather than directly calling OpenAI, or other APIs directly from UIs or workflow steps, Pega provides an API abstraction layer so developers can easily swap out large language models running on both public and private clouds and build reusable generative AI components that can be leveraged across applications.

Connect Generative AI will be able to automatically replace personally identifiable information (PII) data with placeholders in generative AI prompts, helping organizations enforce their data protection policies and advancing secure use of public and private models.

Generative AI powered boosters in Pega Infinity ’23 facilitate rapid development of innovative new capabilities and deliver low-code developers the power to infuse generative AI functionality into decision-making and workflow automation.

As large language models, cloud services, and data privacy needs continue to evolve, this “AI choice” architecture allows Pega and its clients to continuously innovate new secure solutions. Pega will initially offer connectors to OpenAI’s API and Microsoft Azure’s OpenAI APIs and will be supplemented by additional downloadable connectors to other providers on Pega Marketplace.

According to the vendor, Pega’s approach to generative AI allows organizations to confidently deploy their AI models of choice in a responsible and governed way while minimizing risk. It incorporates auditing, rules-based governance, and workflow-managed human approval to advance safety, security, and reliability.

Pega will allow for all AI-generated text to be reviewed, edited, and approved by authorized staff to mitigate the risk of inaccurate or biased text from being exposed to customers.

Pega GenAI builds on Pega’s decades of experience in applying computer intelligence, including rules and data-driven AI, in responsible and effective ways.

It complements the already powerful AI-powered decisioning engine in Pega’s low-code platform, which brings together decision management, predictive and adaptive analytics, natural language processing, voice recognition, business rules, and a robust set of MLOps and testing capabilities for monitoring and governing AI models, according to the company.

Full details on additional Pega Infinity ‘23 features will be showcased at PegaWorld iNspire, the annual Pega user conference, from June 11-13 at the MGM Grand in Las Vegas.

For more information about this news, visit

Tue, 30 May 2023 02:57:00 -0500 Stephanie Simone en text/html
Pegasystems: Valuation Remains Attractive At 2.8x Forward Revenue
Human Vs Robot



My buy rating for Pegasystems (NASDAQ:PEGA) remains unchanged following the release of 1Q23 results, as the stock price has yet to reflect the intrinsic value I attribute to the company. In particular, PEGA's ACV growth has been strong continuously, and it is

Fri, 19 May 2023 14:57:00 -0500 en text/html
Anonymous Sources

Transparency is critical to our credibility with the public and our subscribers. Whenever possible, we pursue information on the record. When a newsmaker insists on background or off-the-record ground rules, we must adhere to a strict set of guidelines, enforced by AP news managers.

 Under AP's rules, material from anonymous sources may be used only if:

 1. The material is information and not opinion or speculation, and is vital to the report.

 2. The information is not available except under the conditions of anonymity imposed by the source.

 3. The source is reliable, and in a position to have direct knowledge of the information.

 Reporters who intend to use material from anonymous sources must get approval from their news manager before sending the story to the desk. The manager is responsible for vetting the material and making sure it meets AP guidelines. The manager must know the identity of the source, and is obligated, like the reporter, to keep the source's identity confidential. Only after they are assured that the source material has been vetted by a manager should editors and producers allow it to be used.

 Reporters should proceed with interviews on the assumption they are on the record. If the source wants to set conditions, these should be negotiated at the start of the interview. At the end of the interview, the reporter should try once again to move onto the record some or all of the information that was given on a background basis.

 The AP routinely seeks and requires more than one source when sourcing is anonymous. Stories should be held while attempts are made to reach additional sources for confirmation or elaboration. In rare cases, one source will be sufficient – when material comes from an authoritative figure who provides information so detailed that there is no question of its accuracy.

 We must explain in the story why the source requested anonymity. And, when it’s relevant, we must describe the source's motive for disclosing the information. If the story hinges on documents, as opposed to interviews, the reporter must describe how the documents were obtained, at least to the extent possible.

The story also must provide attribution that establishes the source's credibility; simply quoting "a source" is not allowed. We should be as descriptive as possible: "according to top White House aides" or "a senior official in the British Foreign Office." The description of a source must never be altered without consulting the reporter.

 We must not say that a person declined comment when that person the person is already quoted anonymously. And we should not attribute information to anonymous sources when it is obvious or well known. We should just state the information as fact.

Stories that use anonymous sources must carry a reporter's byline. If a reporter other than the bylined staffer contributes anonymous material to a story, that reporter should be given credit as a contributor to the story.

 All complaints and questions about the authenticity or veracity of anonymous material – from inside or outside the AP – must be promptly brought to the news manager's attention.

 Not everyone understands “off the record” or “on background” to mean the same things. Before any interview in which any degree of anonymity is expected, there should be a discussion in which the ground rules are set explicitly.

These are the AP’s definitions:

On the record. The information can be used with no caveats, quoting the source by name.

Off the record. The information cannot be used for publication. Background. The information can be published but only under conditions negotiated with the source. Generally, the sources do not want their names published but will agree to a description of their position. AP reporters should object vigorously when a source wants to brief a group of reporters on background and try to persuade the source to put the briefing on the record.

Deep background. The information can be used but without attribution. The source does not want to be identified in any way, even on condition of anonymity.

In general, information obtained under any of these circumstances can be pursued with other sources to be placed on the record.


Reports from other news organizations based on anonymous sources require the most careful scrutiny when we consider them for our report.

AP's basic rules for anonymous source material apply to material from other news outlets just as they do in our own reporting: The material must be factual and obtainable no other way. The story must be truly significant and newsworthy. Use of anonymous material must be authorized by a manager. The story we produce must be balanced, and comment must be sought.

Further, before picking up such a story we must make a bona fide effort to get it on the record, or, at a minimum, confirm it through our own reporting. We shouldn't hesitate to hold the story if we have any doubts. If another outlet’s anonymous material is ultimately used, it must be attributed to the originating news organization and note its description of the source.


 Anything in the AP news report that could reasonably be disputed should be attributed. We should deliver the full name of a source and as much information as needed to identify the source and explain why the person s credible. Where appropriate, include a source's age; title; name of company, organization or government department; and hometown. If we quote someone from a written document – a report, email or news release -- we should say so. Information taken from the internet must be vetted according to our standards of accuracy and attributed to the original source. File, library or archive photos, audio or videos must be identified as such. For lengthy stories, attribution can be contained in an extended editor's note detailing interviews, research and methodology.

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The Importance of Information Sources at the Workplace

Lainie Petersen writes about business, real estate and personal finance, drawing on 25 years experience in publishing and education. Petersen's work appears in Money Crashers, Selling to the Masses, and in Walmart News Now, a blog for Walmart suppliers. She holds a master's degree in library science from Dominican University.

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Architecture Online Master of Architecture

The online architecture program’s studies explore subjects such as integrated building systems, urban planning, industrial ecology, and more. Students can also select electives based on their interests and career goals.

Standard Pathway Courses

The Standard M.Arch. is 105 credits and can be completed in 44 months. This pathway is for students who have a bachelor’s degree in an area other than architecture.

During the first year of the Standard pathway, you will develop an understanding of the basics of architecture in foundation courses. After completing foundation courses, you will take a more in-depth look at architecture, exploring courses such as architectural theory, integrated building systems, urban planning, and industrial ecology.

View a sample course schedule and learn more about the Standard M.Arch.

Request Information

Advanced Standing Pathway Courses

The Advanced Standing M.Arch. is 78 credits and can be completed in 32 months. This pathway is for students who have a bachelor's degree in architecture or a related field.

You will follow a curriculum similar to that of the Standard pathway, but will skip the first year of foundational course work and dive right into in-depth courses such as integrated building systems, urban planning, and industrial ecology.

View a sample course schedule and learn more about the Advanced Standing M.Arch.

Request Information

Numerous courses in the architecture curriculum require students to purchase supplies for use in class. Please review the Supply List for required supplies prior to starting the Master of Architecture program. For additional information, visit our Accreditation and Support page.

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