Certified-Development-Lifecycle-and-Deployment-Designer questions - Certified Development Lifecycle and Deployment Designer Updated: 2023
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Exam Code: Certified-Development-Lifecycle-and-Deployment-Designer Certified Development Lifecycle and Deployment Designer questions November 2023 by Killexams.com team|
Certified-Development-Lifecycle-and-Deployment-Designer Certified Development Lifecycle and Deployment Designer
Exam Details for Certified Development Lifecycle and Deployment Designer:
Number of Questions: The test consists of approximately 60 multiple-choice and multiple-select questions.
Time Limit: The total time allocated for the test is 105 minutes (1 hour and 45 minutes).
Passing Score: To pass the exam, you must achieve a minimum score of 68%.
Exam Format: The test is conducted online and is proctored. You will be required to answer the questions within the allocated time frame.
1. Development Lifecycle Management:
- Understand the software development lifecycle (SDLC) and its phases
- Define and implement development methodologies (e.g., Agile, Waterfall)
- Establish version control and release management processes
2. Development Lifecycle Planning:
- Analyze business requirements and define development objectives
- Create development plans and project timelines
- Identify and allocate development resources
3. Environment and Data Management:
- Set up and manage development, testing, and production environments
- Establish data management strategies and practices
- Implement data migration and data archiving processes
4. Change Set and Metadata Deployment:
- Configure and deploy change sets between environments
- Understand metadata deployment strategies and best practices
- Manage dependencies and handle deployment errors
5. Continuous Integration and Continuous Deployment (CI/CD):
- Implement CI/CD processes for Salesforce development
- Utilize source-driven development with Salesforce DX
- Automate deployment tasks using tools like Salesforce CLI, Jenkins, or Azure DevOps
6. Test Automation and Quality Assurance:
- Create and execute test plans and test cases
- Implement automated testing using frameworks like Apex Test Classes or Selenium
- Monitor code coverage and ensure application quality
7. Performance and Security Testing:
- Perform performance testing and optimization
- Conduct security assessments and vulnerability scans
- Implement security best practices in the development process
8. Monitoring and Troubleshooting:
- Set up monitoring and logging mechanisms for application performance
- Analyze logs and diagnose issues in the development lifecycle
- Implement troubleshooting and debugging techniques
1. Understand the software development lifecycle and development methodologies.
2. Plan and manage the development lifecycle, including resource allocation and timelines.
3. Establish environments and data management strategies for development and testing.
4. Deploy changes and metadata between environments using change sets and best practices.
5. Implement continuous integration and continuous deployment processes for Salesforce development.
6. Create and execute test plans, including automated testing and code coverage monitoring.
7. Perform performance testing and ensure application security in the development process.
8. Monitor application performance, troubleshoot issues, and analyze logs.
The test syllabus covers the following topics:
1. Development Lifecycle Management
- Software development lifecycle (SDLC)
- Development methodologies (e.g., Agile, Waterfall)
- Version control and release management
2. Development Lifecycle Planning
- Business requirements analysis
- Development plans and project timelines
- Development resource allocation
3. Environment and Data Management
- Development, testing, and production environments
- Data management strategies
- Data migration and archiving
4. Change Set and Metadata Deployment
- Change set configuration and deployment
- Metadata deployment strategies and best practices
- Dependency management and error handling
5. Continuous Integration and Continuous Deployment (CI/CD)
- CI/CD processes for Salesforce development
- Source-driven development with Salesforce DX
- Deployment automation using Salesforce CLI, Jenkins, or Azure DevOps
6. Test Automation and Quality Assurance
- Test plan and test case creation
- Automated testing frameworks (e.g., Apex Test Classes, Selenium)
- Code coverage monitoring and application quality
7. Performance and Security Testing
- Performance testing and optimization
- Security assessments and vulnerability scans
- Security best practices in development
8. Monitoring and Troubleshooting
- Monitoring and logging mechanisms
- Log analysis and issue diagnosis
- Troubleshooting and debugging techniques
|Certified Development Lifecycle and Deployment Designer|
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Certified Development Lifecycle and Deployment Designer
Universal Containers (UC) has received feedback from the field on several new feature requests that are aligned with
key business goals. UC is looking for a way to quickly get feedback and prioritize these requests.
Which two options should an Architect recommend? (Choose two.)
A . Create design standards around the new features being requested.
B . Send the requests to IT for a formal review at the end of the year.
C . Bring the feature request to the Test Manager to gain quality checks.
D . Present the feature requests at a Center of Excellence meeting.
E . Create a backlog or priority list in a project management tool.
Universal Containers has multiple projects being developed in parallel. One of the projects is in the testing phase, and
the testing team found a list of issues on the items that will be deployed to production. As the project deadline is short,
the customer team proposes that the fixes be done in the test sandbox and then deployed to Production.
What should the Architect recommend?
A . Recommend fixing the issues in the test environment and migrating the changes to the development sandbox.
B . Recommend fixing the issues in the development sandbox, migrating them to testing, and deploy to production
C . Recommend fixing the issues in the development environment and deploying the changes to production.
D . Recommend the customer teams proposal to fix the issues in the testing environment and deploy them to
Universal Containers (UC) is implementing Service Cloud for their contact centers for 3,000 users. They have
approximately 10 customers. The average page response time expected is less than 5 seconds with 1,500 concurrent
What type of testing will help UC measure the page response time?
A . Unit Testing
B . System Integration Testing
C . Load Testing
D . Stress Testing
Universal Containers (UC) is about to begin development work on a new project in their Salesforce org that will take
many months to complete. UC is concerned about how critical bugs will be addressed for existing live functionality.
What is the recommended release management strategy to address this concern?
A . Include fixes for critical bugs in the ongoing Development sandboxes so that they will be released with the other
B . Keep teams separate until the end of the project and create a Full Copy sandbox to merge their work then.
C . Utilize a dedicated developer pro sandbox to address critical bugs and release to production.
D . Address critical bugs in the Development sandboxes and push those changes to production separately.
Universal Containers (UC) is preparing for the new Salesforce release in a couple of months, and has several ongoing
development projects that may be affected.
Which three steps should the team at UC take to prepare for this release? (Choose three.)
A . Upgrade any SOAP integrations to the latest WSDL as early as possible.
B . Contact Salesforce to schedule a time to upgrade the Full sandbox.
C . Review the release notes for automatically-enabled features and technical debt.
D . Refresh a Sandbox during the Release Preview Window to ensure they have the upcoming release.
E . Run regression tests in an upgraded sandbox to detect any issues with the upgrade.
Universal Containers has multiple minor and major releases in a year. Minor releases have simple configuration
changes, while major releases involve a large number of complex code components.
What deployment tools should an Architect recommend for both types of releases?
A . Force.com IDE for minor releases and metadata API for major releases.
B . Change sets for both minor releases and major releases.
C . Change sets for minor releases and Force.com IDE for major releases.
D . Change sets for minor releases and metadata API for major releases.
Universal Containers (UC) works with different partners and has few admin resources that take care of the day-to-day
deployment tasks. As a result, UC would like to find a way to automate the deployments using Metadata API.
Which two limitations of Metadata API should be considered when using Metadata API-based deployments? (Choose
A . Maximum size of deployed .zip file is 39 M
C . Deploy and retrieve up to 10,000 files at once.
D . Deploy up to 10,000 files, but retrieve more than 10,000 files.
E . Maximum size of deployed .zip file is 400 M
Universal Containers (UC) is considering updating their Salesforce Release Management process.
Which three best practices should UC consider for version control? (Choose three.)
A . Automation is a must with various application branches in the repository.
B . Maintain a single entry point for production from the master branch.
C . Maintain unrestricted access to the release sandboxes for all changes being deployed.
D . Maintain separate developer branches for minor and major releases.
E . Maintain a single repository for applications with individual branches for projects.
Universal Containers is planning to release simple configuration changes and enhancements to their Sales Cloud. A
Technical Architect recommended using change sets.
Which two advantages would change sets provide in this scenario? (Choose two.)
A . The ability to deploy a very large number of components easily.
B . An easy way to deploy related components.
C . A simple and declarative method for deployment.
D . The ability to track changes to components.
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Salesforce Inc. said today itâs adding yet another artificial intelligence capability to its arsenal with the launch of a new application called Service Intelligence within its Service Cloud, its flagship customer relationship management platform for customer service and support.
The new offering is powered by Salesforceâs hyperscale data engine, Data Cloud. The company said it gives service agents and managers all of the information they need to streamline customer service at their fingertips, meaning they no longer will need to toggle through multiple screens and dashboards to find what they need.
According to Salesforce, Service Intelligence will enable customer service professionals to make more informed decisions, faster than before, enhancing customer satisfaction to supply themselves a competitive edge over their competitors.
Service Intelligence is built on the concept of customizable dashboards that provide an at-a-glance view of essential metrics such as customer satisfaction and individualsâ or teamsâ workloads. Managers can use these to create a quick overview of their teams and the issues theyâre working on and react quickly to any challenges. For instance, it can help them determine when a particular team or agent needs more support during busy times, the company said.
Perhaps the most notable feature of Service Cloud is the Einstein Conversation Mining capability, which uses AI to analyze customer conversations to help service managers quickly identify trends and the most pressing customer issues. As an example, Salesforce said, service leaders will be able to determine if a larger-than-usual number of customers are calling with questions regarding a productâs return policy. Salesforceâs AI customer service bots can then be trained to recognize whenever a customer contacts them about this issue, and direct them to a self-help article that answers their questions quickly.
Meanwhile, users have the ability to quickly jump from the Service Intelligence dashboard to a data exploration visualization in Tableau Software while retaining the same data context. These visualizations can also be embedded directly into Service Intelligence, making it easier to share the most important insights users surface.
Those features in Service Intelligence are available now, but the company has lots of additional planned updates down the road. For instance, with the availability of Einstein Copilot in Service Intelligence next year, users will be able to ask Einstein, a generative AI assistant, questions about their dashboards and the metrics and trends they discover in a conversational way. Also coming next year, Einstein Studio will help users to quickly surface additional insights, such as the propensity for a customer to escalate by elevating a complaint, as well as predictions regarding the resolution times of specific issues.
Finally, thereâs a new feature called Customer Effort Score coming next year that will provide a holistic view of how difficult the service experience has been for each customer. Along with this, it will offer recommendations on what agents can do to Boost each customersâ satisfaction, for instance by offering a discount whenever the experience has been particularly difficult.
Valoir analyst Rebecca Wetterman said customer service industry success is generally determined by how easy and efficient customer interactions are made. Customers want to be able to resolve their issues quickly and without any stress, and AI can help to achieve this, she said.
âSalesforceâs Service Intelligence solution empowers service providers to better understand agent performance, foresee a customerâs propensity to escalate, and identify opportunities for automation and improved technology management,â Wetterman explained. â[These are all] factors that drive a more positive customer and agent experience.â
Todayâs updates are the latest in what has become an almost constant stream of new AI features introduced by Salesforce this year. The company has invested billions of dollars in research and development over the past several years, with much of that effort focused on AI.
Earlier this year it rolled out new generative AI capabilities in its Sales Cloud and Service Cloud applications, which came after similar updates to Marketing Cloud and Commerce Cloud. In September it announced the coming launch of its Einstein Copilot, which will be integrated with every Salesforce product. And last month itÂ introduced generative AI capabilities into Anypoint Code Builder, an integration platform from its MuleSoft subsidiary.
Salesforceâs AI push has also seen it collaborate with the likes of IBM Corp., with the focus there being to help customers adopt its generative AI tools faster and benefit from them more effectively.
Alice Steinglass, executive vice president and general manager of platform at Salesforce, recently stopped by SiliconANGLE Mediaâs mobile livestreaming studio theCUBE during the Supercloud 4 event to discuss the goals of the companyâs generative AI revolution. Among other things, Salesforce is determined to use generative AI to help customers transform their workloads and processes in areas such as sales, marketing, customer service, finance and more.
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Salesforce offers a full suite of add-ons available mainly on the SalesForce AppExchange. These optional Salesforce programs include tools to support different needs and industries. Depending on the complexity of those needs, youâll pay anywhere from nothing to hundreds of dollars for one (or multiple) apps. You can also find add-ons under the âproductsâ tab on the Salesforce website.
Salesforceâs apps come from both first- and third-party providers. They also vary in pricing, often including new tiers that differ from what Salesforce offers. Simple apps, like 360 SMS, start at $7 per month but might cost more depending on how many texts you send. Other apps, like the Salesforce Adoption Dashboard, are entirely free. You also have freemium apps, like JotForm, which are free for the first five forms.Â
Each app is different, requiring another knowledge base to learn this optional system. Much like shopping for CRM systems, you must go through testing and adoption phases. Thankfully, Salesforce is a cloud-based SaaS system, meaning you can easily customize it according to your needs. Below, youâll learn more about some of the most popular add-ons you might consider.Â
Salesforce Pardot is a popular marketing automation platform that comes in four tiers. Hereâs a breakdown of what those tiers provide:
Pardot supports up to 10,000 contacts, with its higher tier supporting 75,000.
Service Cloud focuses on the customer support side of Salesforce. It also has identical pricing compared to Sales Cloud (Salesforceâs primary offering). Hereâs a breakdown of pricing:
Sales Cloud does not come with Service Cloud. However, you can discuss discounts for integrating both when talking with an account executive.Â
CPQ and Billing
Both CPQ and Billing are features you can find under Salesforceâs Revenue Cloud service.Â
CPQ (Configuration, Pricing and Quoting) is a flexible pricing system that changes price depending on usage level or optional features. When selling software with add-ons, it can help you simplify billing customers. It comes in two forms:
Billing is another feature of Revenue Cloud which comes in two forms, although the pricing requires you to call in:
If purchasing the complete sales CRM, some of these features are integrated with advanced plans, meaning you donât need to pay extra.Â
Einstein Analytics is the AI-driven analytics software from Salesforce that comes with the Unlimited plan. Enterprise customers might choose to pay separately, selecting one of the four plans below:
MuleSoft is an integration-based platform that connects multiple apps, helps integrate numerous APIs and provides automated systems between those softwares. Another way to look at it: itâs a complex version of Zapier with way more power for programmers.Â
MuleSoftâs pricing varies heavily but can cost up to $250,000 per year. Youâll need to call and discuss your unique needs for a quote.Â
Genentech, Tesla, Cruise, Salesforce, Kaiser Permanente, Chronicle Books, Minted, CamelBak, Bold Insight, InterVenn Biosciences, San Francisco District Attorneyâs Office, and The Hartford were all there.
âWhen our students talk face-to-face with smart, energetic young alums from top companies, career dreams become career realities,â said Stephanie Belfiore,Â assistant director of employer relationships at theÂ Career Services Center.
Gurshan Singh â27, a computer science major, met with Salesforce, Tesla, and Cruise. âI hope to work in a field that gets me to the front end of stuff since my background is in design,â he said. âI enjoy trying to make something that looks nice and something that people can connect with.â
Lilliah Aaliyah â23, an entrepreneurship and innovation major who met with Salesforce and Cruise, said she wants to work in business relations or operations. For her, the highlight of the event was hearing âtricks and tips on how to get these jobs.âÂ
Chloe Ramirez â24, a computer science major who met with CamelBak and Bold Insight, said sheâs interested in machine learning, augmented reality, virtualization technology, âand the interactive/creative side of tech. Meeting people who have gone to this school makes me feel hopeful to be in that same position.â
Yazan Tadros â24, a business management major who also met with Salesforce, Tesla, and Cruise, said, âIâm most excited about possibly getting a business development and marketing job. This event felt casual and comfortable and enabled me to be myself.â
Three USF graduates who represented their employers at the event gave this advice to students:
âNetwork!â said Natalia Clarke â20, the social media manager at Minted. âNetwork as much as you can. Connect with people on LinkedIn; send out as many messages as you can, just to get exposure to the people that youâre talking to.â
Lauren Quiring â22, who works in event marketing at Cruise, said, âMy advice would be to constantly raise your hand for things and put yourself in front of future employers.â
Emilio Ashley â22, associate people development partner at Tesla, said, âUtilize your resources on campus. Youâve got career coaches, counselors, and professors who have backgrounds in the field you want to work in. These people are there at your fingertips. Theyâre there to help you.â
Alumni Identify the USF Difference
Asked what sets USF students apart from other job seekers, Emilio Ashley â22 said, âAt USF, you are literally in the hub of opportunity, and companies like that because youâre familiar with the culture, youâre in a diverse setting, and you value different perspectives â that puts you ahead of the game.â
Natalia Clarke â20 said what sets USF students apart âis how much they want to make a difference in the world. Thatâs super unique.â
Catherine Rivera â24 contributed reporting to this story
Alon Jackson is the CEO and cofounder of Astrix Security, a leading enterprise solution securing app-to-app interconnectivity.
In modern development environments, "secrets" are authentication keys that are created by research and development teams to allow access to and between different resources and data. Secrets also allow services and non-human identities, such as third-party apps, to connect to your system, enhancing overall productivity and operations for the business.
To keep pace with the competition, it's essentialâand also inevitableâthat we continue integrating non-human identities and generative AI tools into our systems, ones that will help with everything from email writing to lead generation insight.
Secrets are created almost on a daily basis, but securing them is a difficult task. In fact, wondering whether these secrets are actually safe and not exposed can keep security teams up at night.
Internal Vs. External Secrets
Secrets are typically bucketed into two categories: external and internal.
â˘ External secrets are secrets (API keys, OAuth tokens, SSH keys) that you donât own or have possession of, usually used by operating systems, i.e., plug-ins, add-on extensions and third-party applications that are connected to core critical systems like Salesforce, GitHub, and Microsoft365.
â˘ Internal secrets are API keys and other tokens created by R&D teams within the organization. These "internal" secrets are sometimes shared, however, with external entities that often havenât gone through proper security vetting and now have the same access to sensitive informationâwithout your security teamâs knowledge.
Securing secrets is difficult to understand, and ultimately manage. Oftentimes, DevOps and R&D teams own them but are not responsible for securing them. This leaves ample room for missteps, which results in secrets being leaked by human error, such as if an employee unintentionally shares a secret through a different channel or portal, a ticket or a Slack message.
The latest Microsoft breach, for example, occurred when a key was leaked in between processes. Ultimately, this allowed the attackers to download the memory and the secret key in plain text, giving the hacker access to enterprises and Microsoft accounts across the globe.
The Misleading Concept Of Vaults
In the physical world, you deposit your valuables inside a vault and there it stays, securely stored until you open it again. In the digital world, vaults simply store secrets, they donât manage or monitor them from end-to-endâleaving them open for anyone to access and copy these keys and spread them elsewhere.
While vaults are an important part of a security strategy, they donât provide additional insights or intelligence about the usage of secrets once they are created. They merely are a place to hold your secrets, whichâwithout the right context and knowledgeâfrequently leads to exposed secrets.
Best Practices For Securing Your Secrets
Because of the limited roles of vaults, having strong governance around secrets is critical in ensuring they remain protected. Here are three non-negotiable best practices for securing your secrets.
1. Differentiate between internal and external secrets.
Knowing that there are third-party or external entities who have access to keys to your core sensitive systems is vital. Create a clear-cut set of guidelines of whatâs deemed "internal" and "external" by asking questions like, âDo any third parties currently have or need access to this information?â Make sure there are no gray lines and that security teams understand the differentiators.
2. Implement strong behavioral analysis practices.
This allows you to understand and have knowledge about the fact that some internal secrets are actually being used externally. Continuously monitor and track your secrets so youâre aware of each one, who has access to it and how it is being used. Identify every aspect of the secret to ensure you are protecting it from external usage or leakage. Applying a daily checklist to your secrets will ensure there is no stoneâor in this case, secretâleft unturned.
3. Continuously seek context with different edges of the enterprise.
Simply knowing that a secret was leaked or that a third party has access to your businessâs systems or data is not helpful to remediate and respond. You need to have context. For instance, if a breach occurs due to a leaked secret, itâs critical to ask questions like: What is this secret enabling access to? When was it last used?
This way, you can prioritize your resources and remediate them faster. Or perhaps an attacker gains hold of an OAuth token that a third-party tool uses to access your Salesforce environmentâitâs critical to know where itâs connected and its access permissionsâcan it read, write or delete records? This will help you quickly minimize the potential damage of such a supply chain breach.
While companies understand the need to control these secrets better, since this is where the vast majority of attacks are coming from, weâre still falling short by not implementing strong governance. At this rate, the cyber world may be full of secrets that arenât so secret anymore.
Tuesday, November 7, 2023
SAN FRANCISCO (KGO) -- Salesforce's Dreamforce will return to San Francisco, CEO Marc Benioff and Mayor London Breed confirm.
The biggest AI conference is coming back to the Bay Area next September.
Mayor London Breed said on X, formerly known as Twitter:
"Dreamforce is about showcasing the world-changing ideas that are driving innovation and creativity and there is no better place to do that than the AI Capital of the World - San Francisco!," she posted.
Salesforce CEO Marc Benioff has said that if this year's Dreamforce conference is impacted by the current homeless situation, it may be the last one held in San Francisco.
She also posted a photo of Breed and Benioff, where she thanked him.
Benioff had previously spoken about moving Dreamforce out of San Francisco, citing concerns with homelessness and drug use.
"In partnership with Mayor London Breed and our beloved city, Dreamforce 2023 set new standards with outstanding safety measures, cleanliness and hospitality for our 40,000 visiting trailblazers. Thank you San Francisco!," he also posted on X.
The conference dates will be September 17-19, 2024.
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CRM provider Salesforce is adding a host of features to its Automotive Cloud, including Automotive Loan, Lease Console, and connected car capabilities.
Salesforce is adding AI, telematics and a host of other capabilities to beef up Salesforce Automotive Cloud, built on the companyâs Customer 360 cloud-based CRM platform and released last year as a dedicated system to help automakers better connect with dealers and end consumers.
Features that are generally available now include Einstein Studio and Fleet Management, according to a Salesforce announcement Tuesday.
âWith Einstein Studio, automakers can easily build and train custom AI models with help from Salesforce ecosystem technology partners,â the company said, adding that connected car data, when paired with custom AI models, will enable automakers to generate predictive insights.
Automakers, for example, may want to alert dealers automatically when a driverâs vehicle is about to hit 100,000 miles, identify new, available vehicles that match the driverâs preferences, and even offer personalized discounts and trade-in offers.
The new Fleet Management tools, according to the company, will allow fleet owners a single view of their vehicles and enable them to define fleet action plans, such as deciding routes, driver assignments, and maintenance warnings.
The Fleet Management tools also will provide insights into completed trips and driver behavior, among other things, to enable future fleet planning and Boost performance, the company said.
Salesforce also said that it will release a new suite, dubbed Automotive Cloud for Captive Finance, which will provide a complete view of a driverâs automotive finances, including all of their household auto loans and lease accounts, as well as their associated vehicles.
The suite will come with an Automotive Loan and Lease Console that is designed to Â help auto lenders streamline and automate services, , engaging customers with timely, personalized information about lease renewals, payment reminders, or service appointments, the company said, adding that the features will be available in the early 2024.
Other features that will also be made available in early 2024 include actionable telematics and other connected car features.
âActionable Telematics will help automakers monitor telematics data, like vehicle location, speed, fuel, or battery consumption, and use automation to detect and alert customers to changes in their carâs status,â the company said.
The telematics, for example, could read the data coming off of a vehicle and send Â an alert to the driver console to warn them of any potential issues, such as an increase in engine revolutions per minute (RPMs) or Â loss of tire pressure.
Salesforce is also planning a connected vehicle visualization module within the Automotive Cloud that will allow automakers to provide a real-time visualization of a vehicleâs connected features and services that will help make it easy for automakers to provide better in-car experiences, such as remote assistance.
This feature, according to the company, will be available in pilot in early 2024 and additional purchase and terms may be applied to it.
In a notable insider transaction, Srinivas Tallapragada, the President and Chief Engineering Officer of Salesforce Inc (NYSE:CRM), sold 10,000 shares of the company on November 13, 2023. This sale is part of a series of transactions over the past year, where Tallapragada has sold a total of 267,538 shares and has not made any purchases. The insider's recent move has caught the attention of investors and analysts, prompting a closer look at the implications of such insider activities on the stock's performance and valuation.
Who is Srinivas Tallapragada at Salesforce Inc?
Srinivas Tallapragada plays a pivotal role at Salesforce Inc, holding the position of President and Chief Engineering Officer. His responsibilities include overseeing the technological advancements and engineering efforts that keep Salesforce at the forefront of the Customer Relationship Management (NYSE:CRM) industry. With a career deeply rooted in software engineering and development, Tallapragada's actions and insights are highly regarded within the company and the tech community at large.
Salesforce Inc's Business Description
Salesforce Inc is a global leader in CRM solutions, providing a suite of cloud-based applications for sales, service, marketing, and more. The company's platform is designed to bring companies and customers together, helping businesses of all sizes to grow and manage their customer relationships more effectively. Salesforce's innovative approach to CRM has revolutionized the way companies engage with their clients, making it a critical tool in the digital transformation of businesses worldwide.
Analysis of Insider Buy/Sell and Relationship with Stock Price
The insider transaction history for Salesforce Inc reveals a pattern of insider selling, with 280 insider sells and no insider buys over the past year. This trend could be interpreted in various ways. On one hand, insiders might sell shares for personal financial planning reasons that do not necessarily reflect their outlook on the company's future. On the other hand, consistent selling by insiders, especially without any offsetting buys, might raise questions about their confidence in the company's valuation or growth prospects.
On the day of Tallapragada's recent sale, Salesforce Inc shares were trading at $212.86, giving the company a substantial market cap of $215.21 billion. This price point is particularly interesting when considering the company's price-earnings ratio of 139.11, which is significantly higher than the industry median of 26.97. Although this elevated P/E ratio might suggest a premium valuation, it is lower than the company's historical median, indicating a potential normalization of valuation multiples.
The relationship between insider selling and stock price can be complex. While insider sales can sometimes lead to negative market reactions, the impact on Salesforce's stock price must be analyzed in the context of the company's overall financial health and market conditions. It is also essential to consider the volume of shares sold relative to the total number of shares outstanding; in the case of Salesforce, the insider transactions represent a small fraction of the company's total market cap.
Valuation and GF Value Analysis
Salesforce's current stock price of $212.86, when compared to the GuruFocus Value (GF Value) of $268.46, suggests that the stock is modestly undervalued with a price-to-GF-Value ratio of 0.79. The GF Value is a proprietary intrinsic value estimate from GuruFocus, which takes into account historical trading multiples, a company-specific adjustment factor based on past returns and growth, and future business performance estimates from analysts.
This modest undervaluation could be an attractive entry point for investors, especially if the insider selling is not indicative of underlying business issues. It is also worth noting that the stock's valuation is not solely dependent on insider transactions but also on broader market trends, investor sentiment, and Salesforce's continued performance and growth trajectory.
In conclusion, the recent insider sale by Srinivas Tallapragada at Salesforce Inc warrants attention but should be contextualized within the broader scope of the company's financials and market valuation. While the pattern of insider selling over the past year may raise some eyebrows, the current GF Value suggests that Salesforce's stock might still be an attractive investment opportunity. Investors should continue to monitor insider activity, alongside other financial metrics and market trends, to make informed decisions about their investments in Salesforce Inc.
This article, generated by GuruFocus, is designed to provide general insights and is not tailored financial advice. Our commentary is rooted in historical data and analyst projections, utilizing an impartial methodology, and is not intended to serve as specific investment guidance. It does not formulate a recommendation to purchase or divest any stock and does not consider individual investment objectives or financial circumstances. Our objective is to deliver long-term, fundamental data-driven analysis. Be aware that our analysis might not incorporate the most recent, price-sensitive company announcements or qualitative information. GuruFocus holds no position in the stocks mentioned herein.
This article first appeared on GuruFocus.
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