Scaled Agile SAFe DevOps Practitioner SDP (6.0) SAFe DevOps Dumps in PDF

Free Scaled Agile SAFe DevOps Real Questions (page: 3)

What is one reason for test data management?

  1. To automate provisioning data to an application in order to set it to a known state before testing begins
  2. To track the results of automated test cases for use by corporate audit
  3. To provide a viable option for disaster-recovery management
  4. To truncate data from the database to enable fast-forward recovery

Answer(s): A

Explanation:

According to the SAFe DevOps Practitioner 6.0 study guide and handbook, test data management is one reason for test data management. This means that test data management helps teams ensure that the application under test has a consistent and reliable state, by automating the provisioning of data from various sources and formats. The handbook states that "Test data management is the process of automating provisioning of data to an application in order to set it to a known state before testing begins."1 Therefore, test data management enables teams to perform end-to-end testing with confidence and accuracy.



Where do features go after Continuous Exploration?

  1. Into Continuous Integration, where they are deployed with feature toggles
  2. Into Continuous Development, where they are implemented in small batches
  3. Into the Portfolio Backlog, where they are then prioritized
  4. Into Continuous Integration, where they are then split into Stories

Answer(s): D

Explanation:

In the Scaled Agile Framework (SAFe), after features are defined and designed during Continuous

Exploration, they move into Continuous Integration. Here, they are further broken down into smaller, implementable parts known as user stories. These stories are then developed, tested, and integrated into the existing codebase. This process ensures that new features are developed in a systematic and efficient manner, with regular integration and testing to maintain quality and readiness for release.



Which statement describes what could happen when development and operations do not collaborate early in the pipeline?

  1. Flow times are reduced
  2. Teams build things quickly but build the wrong things
  3. Surprises are found in deployment that lead to significant rework and delay
  4. Automation of integration test is not possible

Answer(s): C

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.



What does Value Stream Mapping help reveal in the Continuous Delivery Pipeline?

  1. Who is responsible for optimizing the Value Stream
  2. Where automation is needed
  3. Bottlenecks to the flow of value
  4. DevOps practices that will improve the Value Stream

Answer(s): C

Explanation:

According to the SAFe DevOps Practitioner 6.0 study guide and handbook, Value Stream Mapping helps reveal bottlenecks to the flow of value in the Continuous Delivery Pipeline. This means that Value Stream Mapping helps teams identify and eliminate any activities or processes that slow down or stop the delivery of value to customers. The handbook states that "Value Stream Mapping helps reveal bottlenecks to the flow of value in the Continuous Delivery Pipeline."1 Therefore, Value Stream Mapping helps teams optimize their value stream and improve their delivery performance.



What is an element of CALMR?

  1. Recovery
  2. Application security
  3. Compliance
  4. Metrics

Answer(s): A

Explanation:

According to the SAFe DevOps Practitioner 6.0 study guide and handbook, recovery is an element of CALMR. This means that recovery is the ability to restore the Solution to a desired state after a failure or incident. The handbook states that "Recovery is the ability to restore the Solution to a desired state after a failure or incident."1 Therefore, recovery is one of the key aspects of DevOps excellence that enables continuous delivery.



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AI Tutor Explanation
8/23/2026 6:47:51 AM

Question 5:
Correct answer: A — The steps
In Value Stream Mapping, you first identify the sequence of steps that work passes through—from the initial request or idea to delivery of value. This establishes the workflow being analyzed.
Once the steps are mapped, the team can then identify:

  • People and roles involved
  • Wait time and processing time
  • Bottlenecks and delays
  • Active Time, Flow Time, and % Complete and Accurate (%C&A)

Why the other options are not first:
  • People who supervise the work: roles are relevant, but they do not define the value flow.
  • Bottlenecks: these are discovered by analyzing the mapped steps and flow data.
  • Active Time, Flow Time, and %C&A: these metrics are collected for the steps after the workflow is understood.

The exam principle is: map the work first, then analyze how efficiently it flows.

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