(2024) PASS SAFe-DevOps Exam Free Practice Test with 100% Accurate Answers
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NEW QUESTION # 29
What does Flow Efficiency measure in the Value Stream?
- A. The percentage of time spent on delays to the number of processes in the Value Stream
- B. The percentage of time spent on non-value-added activities
- C. The percentage of time spent on value-added activities
- D. The percentage of time spent on manual activities
Answer: C
Explanation:
Explanation
The correct answer is B. Flow Efficiency measures the percentage of time spent on value-added activities in the Value Stream. A Value Stream is a sequence of activities that deliver value to the customer, from concept to cash. Value-added activities are those that directly contribute to the customer value proposition, such as coding, testing, and deploying. Non-value-added activities are those that do not directly contribute to the customer value proposition, such as waiting, handoffs, rework, and approvals. Flow Efficiency is calculated by dividing the total time spent on value-added activities by the total flow time, which is the time elapsed from when a work item enters the Value Stream to when it is delivered to the customer. Flow Efficiency is a metric that helps to identify and eliminate waste and delays in the Value Stream, and to optimize the flow of value to the customer. Flow Efficiency can be improved by applying the principles and practices of DevOps, such as reducing batch size, limiting work in progress, implementing pull systems, managing queue lengths, reducing handoffs, implementing Work in Process (WIP) visualization, and implementing Work in Process (WIP) feedback
NEW QUESTION # 30
What is true about the Boundaries and Limitations portion of the DevOps Transformation Canvas?
Choose the correct options from below list
- A. It captures improvement items that require the support of other people or teams
- B. It captures budget constraints that will prevent DevOps improvements
- C. It captures the people who need to be involved in the DevOps transformation
- D. It captures the lowest priority improvement items
Answer: A
Explanation:
Explanation
The Boundaries and Limitations portion of the DevOps Transformation Canvas is used to capture improvement items that require the support of other people or teams. These are items that are outside the scope or control of the current team or value stream, but are necessary for achieving the DevOps vision and goals. They help to identify dependencies, risks, and stakeholders that need to be engaged or aligned
NEW QUESTION # 31
Which technical practice is key to enabling trunk-based development?
- A. Refactoring
- B. Gated commits
- C. Code freezes
- D. Feature branching
Answer: B
Explanation:
Explanation
Gated commits are a key technical practice that enables trunk-based development. Gated commits are a mechanism that ensures that only code that passes certain quality checks and tests can be committed to the main trunk of the shared codebase. Gated commits prevent broken changes from affecting other developers or the Continuous Delivery Pipeline. Gated commits typically involve the following steps:
A developer writes code and runs local tests on their own machine or branch.
The developer pushes the code to a remote repository, where a pre-commit hook triggers a build and test process on a separate server.
The build and test process verifies that the code meets the quality standards and does not introduce any errors or conflicts with the existing code on the trunk.
If the build and test process succeeds, the code is automatically merged into the trunk and becomes available for other developers and downstream activities.
If the build and test process fails, the code is rejected and the developer is notified of the issues that need to be fixed before retrying the commit.
Gated commits support trunk-based development by ensuring that the trunk is always in a releasable state, which means that at least once a day, developers must integrate their changes to the trunk. This is accomplished through short-lived feature branches related to project tasks. Gated commits reduce the complexity and conflicts of merging long-lived branches, improve the quality and consistency of the code by enforcing frequent testing and validation, accelerate the delivery and deployment of new functionality by minimizing the transaction cost and risk, and foster a culture of collaboration and transparency among developers
NEW QUESTION # 32
What does the %C&A metric measure in the Continuous Delivery Pipeline?
- A. The percent concurrent and accurate process times of each pipeline activity
- B. The percent of time downstream customers receive work that is usable as-is
- C. The percent complete and average times of each pipeline activity
- D. The percent of change averages of each pipeline activity
Answer: B
Explanation:
Explanation
The %C&A metric measures the percent of time downstream customers receive work that is usable as-is in the Continuous Delivery Pipeline. The %C&A metric is a measure of the quality of the work output from a process step. It indicates the percentage of time that the downstream customers receive work that is acceptable as is, without any rework or errors. To calculate the %C&A metric, the people responsible for the next step need to inspect the work output from the previous step and determine whether it meets the quality standards and expectations. They also need to provide feedback to the previous step on the defects or issues they find and how they affect the value stream. By measuring the %C&A metric, the enterprise can gain insight into the current state of the delivery process, such as the lead time, cycle time, throughput, quality, and waste. This insight can help the enterprise identify bottlenecks, dependencies, handoffs, delays, and inefficiencies that affect the flow of value. The %C&A metric can also help the enterprise understand how the flow of value can be improved by applying the principles and practices of DevOps, such as culture, automation, lean flow, measurement, and recovery. By improving the %C&A metric, the enterprise can increase customer satisfaction, reduce costs, accelerate time-to-market, and enhance business agility
NEW QUESTION # 33
Which practice prevents configuration drift between production and non-production environments?
- A. Immutable infrastructure
- B. Self-service deployment
- C. Deployment automation
- D. Session replay
Answer: A
Explanation:
Explanation
One practice that prevents configuration drift between production and non-production environments is immutable infrastructure. Immutable infrastructure is a management approach for infrastructure resources where changes are made by deploying new versions of resources instead of modifying existing ones. In this approach, the infrastructure is treated as an immutable asset that is built, deployed, and disposed of, rather than modified in place. For example, instead of modifying an existing virtual machine (VM), a new VM with updated configurations and software is deployed, and the old VM is disposed of. This approach eliminates the possibility of configuration drift and reduces the risk of introducing unintended changes to the infrastructure. Immutable infrastructure also simplifies the management of infrastructure resources, increases the reliability and security of the infrastructure, and facilitates rapid and consistent deployment
NEW QUESTION # 34
Which statement describes what could happen when development and operations do not collaborate early in the pipeline?
- A. Flow times are reduced
- B. Automation of integration test is not possible
- C. Teams build things quickly but build the wrong things
- D. Surprises are found in deployment that lead to significant rework and delay
Answer: D
Explanation:
Explanation
According to the SAFe DevOps Practitioner 6.0 study guide and handbook, when development and operations do not collaborate early in the pipeline, surprises are found in deployment that lead to significant rework and delay. This means that the teams may not have a shared understanding of the quality, performance, and security requirements of the Solution, and may encounter issues that were not anticipated or tested. The handbook states that "When development and operations do not collaborate early in the pipeline, surprises are found in deployment that lead to significant rework and delay."1 Therefore, it is important for teams to work together throughout the value stream to ensure continuous delivery.
NEW QUESTION # 35
What is the first area that should be identified in Value Stream Mapping?
- A. The bottlenecks
- B. The people who supervise the work
- C. Active Time, Flow Time. and Percent Complete and Accurate (%C&A)
- D. The steps
Answer: D
NEW QUESTION # 36
What is the desired frequency of deployment in SAFe?
Choose the correct option from below list
- A. Once per PI
- B. Daily
- C. Continuous
- D. Once per Iteration
Answer: C
Explanation:
Explanation
The desired frequency of deployment in SAFe is continuous, meaning that new functionality can be deployed to production as soon as it is ready, without waiting for fixed release dates or schedules. Continuous deployment is an aspect of the CDP that automates the migration of new functionality from a staging environment to production, where it is made available for release. Continuous deployment enables the ability to release value at any time, in a sustainable way
NEW QUESTION # 37
What is trunk-based development?
- A. Each developer maintains a separate branch
- B. Teams with similar dependencies create one single branch for the team's work
- C. All teams committing their code into one trunk
- D. Every team works in their own trunk
Answer: C
Explanation:
Explanation
Trunk-based development is a version control management practice where all developers work on the same trunk of shared code. The trunk is always in a releasable state, which means that at least once a day, developers must integrate their changes to the trunk. This is accomplished through short-lived feature branches related to project tasks. Trunk-based development is a common practice among DevOps teams and part of the DevOps lifecycle since it streamlines merging and integration phases. It also enables continuous integration, which is the practice of merging all development versions of a code base several times a day. Trunk-based development has several benefits, such as:
It reduces the complexity and conflicts of merging long-lived branches
It improves the quality and consistency of the code by enforcing frequent testing and validation It accelerates the delivery and deployment of new functionality by minimizing the transaction cost and risk It fosters a culture of collaboration and transparency among developers
NEW QUESTION # 38
The Continuous Exploration aspect primarily supports which key stakeholder objective?
- A. Business value
- B. Research and development
- C. Alignment
- D. Hypothesize
Answer: C
Explanation:
Explanation
The Continuous Exploration aspect in SAFe primarily supports the key stakeholder objective of aligning business and technology. This phase focuses on exploring market needs and defining solutions that deliver the most significant customer and business value within the constraints of technology and feasibility. It helps ensure that the development efforts are in sync with business goals and market demands, thereby fostering alignment between various stakeholders..
NEW QUESTION # 39
Innovation accounting stresses the importance of avoiding what?
- A. Vanity metrics
- B. Quantitative metrics
- C. Objective metrics
- D. ROI calculations
Answer: A
Explanation:
Explanation
Innovation accounting stresses the importance of avoiding vanity metrics. Vanity metrics are metrics that look good on paper but do not reflect the true value or impact of an innovation. Examples of vanity metrics include the number of downloads, page views, followers, or likes, which may not indicate whether the users are actually engaged, satisfied, or loyal to the product or service. Vanity metrics can be misleading, deceptive, or irrelevant, and can cause the enterprise to waste time and resources on pursuing the wrong goals or strategies.
Innovation accounting, on the other hand, is a term coined by Eric Ries in his book The Lean Startup, which describes a process of measuring and learning from the outcomes of innovation experiments. Innovation accounting involves defining the hypothesis, building the minimum viable product (MVP), and evaluating the results using actionable metrics. Actionable metrics are metrics that demonstrate the cause and effect relationship between the actions taken and the outcomes achieved. Examples of actionable metrics include the conversion rate, retention rate, revenue per customer, or customer satisfaction score, which can indicate whether the product or service is delivering value to the customer and the enterprise. Actionable metrics can help the enterprise to validate or invalidate the hypothesis, and to decide whether to pivot or persevere with the innovation78
NEW QUESTION # 40
Why is it important to take a structured approach to analyze problems in the delivery pipeline?
- A. It helps ensure that actual causes of problems are addressed, rather than symptoms
- B. It ensures that solutions are more likely to be approved for implementation
- C. It allows the solution to be demoed to key stakeholders
- D. It provides a structured roadmap for the SAFe implementation
Answer: A
Explanation:
Explanation
The reason why it is important to take a structured approach to analyze problems in the delivery pipeline is that it helps ensure that actual causes of problems are addressed, rather than symptoms. A structured approach to problem analysis involves following a systematic and logical process to identify, define, and understand the root causes of a problem, and to propose and evaluate possible solutions. A structured approach can help avoid jumping to conclusions, making assumptions, or applying band-aid fixes that do not solve the underlying issues. A structured approach can also help involve the relevant stakeholders, collect and analyze data, prioritize and categorize problems, and communicate and document the findings and recommendations. Some examples of structured approaches to problem analysis are the 5 Whys, the fishbone diagram, the Pareto chart, and the PDCA cycle
NEW QUESTION # 41
Why is hypothesis evaluation important when analyzing data from monitoring systems in the Release on Demand aspect?
- A. It helps operations teams know where to apply emergency fixes
- B. It helps link objective production data to the hypothesis being tested
- C. It helps quickly create balanced scorecards for stakeholder review
- D. It helps define the minimum viable product (MVP)
Answer: B
Explanation:
Explanation
According to the SAFe DevOps Practitioner 6.0 study guide1, hypothesis evaluation is important when analyzing data from monitoring systems in the Release on Demand aspect because it helps link objective production data to the hypothesis being tested. Hypothesis evaluation is the process of measuring and comparing the actual outcomes of a hypothesis with the expected outcomes based on customer feedback and business value. Hypothesis evaluation helps DevOps teams to validate or invalidate their hypotheses, learn from their mistakes, and improve their solutions. By linking objective production data to the hypothesis being tested, DevOps teams can see how well their solutions are delivering value to customers and achieving their goals.
NEW QUESTION # 42
What is the primary purpose of creating an automated test suite?
Choose the correct option from below list
- A. To increase unit test coverage during an Iteration
- B. To eliminate all manual testing
- C. To enable continuous testing
- D. To increase the return on investment for finding defects
Answer: C
Explanation:
Explanation
The primary purpose of creating an automated test suite is to enable continuous testing in SAFe DevOps.
Continuous testing is the process of executing automated tests as part of the software delivery pipeline to obtain immediate feedback on the business risks associated with a software release candidate. Continuous testing supports the other aspects of the Continuous Delivery Pipeline (CDP) by providing fast and frequent feedback on the quality and compliance of the solution. Continuous testing also reduces the cost and effort of manual testing and increases the confidence and reliability of the solution. Continuous testing requires a test automation strategy that covers all types of tests, such as unit, integration, functional, performance, security, and user acceptance tests
NEW QUESTION # 43
What is an output of the Release activity?
Choose the correct option from below list
- A. A Feature made available to internal users
- B. A Feature made available to end users
- C. A Feature migrated to the cloud
- D. A Feature deployed to production
Answer: B
Explanation:
Explanation
The output of the Release activity is a Feature made available to end users. The Release activity is the final aspect of the Continuous Delivery Pipeline (CDP) in SAFe DevOps, which enables the delivery of value to the end user as fast as possible, based on market demand. The Release activity involves the practices needed to deliver the solution to end users, all at once or incrementally. The Release activity is a business decision that requires careful consideration of the customer needs, market rhythms, and economic outcomes. The Release activity is decoupled from the Continuous Deployment activity, which automates the migration of new functionality from a staging environment to production, where it is made available for release
NEW QUESTION # 44
What is one aspect of the Continuous Delivery Pipeline?
- A. Continuous Experimentation
- B. Continuous Integration
- C. Continuous Security
- D. Continuous Delivery
Answer: B
Explanation:
Explanation
One aspect of the Continuous Delivery Pipeline is Continuous Integration. Continuous Integration (CI) is the practice of merging all development versions of a code base several times a day and verifying them with automated tests. CI helps to improve the quality and consistency of the code, and to accelerate the delivery and deployment of new functionality. CI is the second aspect in the four-part Continuous Delivery Pipeline of Continuous Exploration (CE), Continuous Integration (CI), Continuous Deployment (CD), and Release on Demand. CI consists of four activities: develop, build, test end-to-end, and stage12
NEW QUESTION # 45
What is the purpose of a minimum viable product?
- A. To release to production
- B. To validate the hypothesis
- C. To demo to Product Management for feedback
- D. To sell to new markets
Answer: B
Explanation:
Explanation
The purpose of a minimum viable product is to validate the hypothesis. A minimum viable product (MVP) is an early and minimal version of a new product or solution used to prove or disprove an epic hypothesis. An epic is a significant solution development initiative that requires the definition and approval of an MVP. An epic hypothesis is a statement that describes the expected outcome, benefit, and value of an epic. The MVP is the smallest possible solution that can be used to test the epic hypothesis with real customers or users, and to gather feedback and data. The MVP helps reduce the risk of investing in a solution that nobody wants or needs, and enables faster learning and adaptation. The MVP is not the final product or solution, but rather a starting point for further development and improvement
NEW QUESTION # 46
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