[Full-Version] 2024 New Preparation Guide of Scrum SAFe-DevOps Exam [Q32-Q56]

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

Explanation
The lead time for a particular step in a value stream is the time from when the work is ready from the previous step to work completion. It includes both the process time and the wait time at that step. Lead time is an important metric to measure the efficiency and flow of a value stream, as it indicates how long it takes for a unit of work to move through a step. Reducing lead time can help eliminate waste, improve throughput, and increase customer satisfaction1

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.

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

Explanation
The statement that is true about DevOps is that it enables low-risk releases and fast recovery with fast fix-forward. DevOps is a mindset, culture, and set of technical practices that supports the integration, automation, and collaboration needed to effectively develop and operate a solution. DevOps aims to deliver value to customers whenever there is a business need, by applying the principles of continuous delivery, continuous integration, continuous deployment, and release on demand. DevOps also embraces a culture of learning and experimentation, where failures are opportunities for improvement and feedback. DevOps enables low-risk releases by breaking down large and complex changes into smaller and more frequent batches, which are easier to test, deploy, and rollback if needed. DevOps also enables fast recovery by implementing practices such as monitoring, alerting, incident response, and disaster recovery, which help to detect and resolve issues quickly, minimize the impact of failures, and restore normal operations as soon as possible. DevOps also supports the fast fix-forward approach, which means fixing errors in production by deploying new code, rather than rolling back to a previous state. This approach reduces the risk of introducing new errors, preserves the value of the new functionality, and accelerates the learning cycle

Explanation
Two areas that should be monitored in the Release on Demand aspect to support DevOps and Continuous Delivery are the build status and the deployment cycle time. The build status is the measure of whether the code and components can be successfully compiled, linked, packaged, and verified into deployable binaries.
The build status indicates the quality and consistency of the code and the readiness for deployment.
Monitoring the build status helps to support the Release on Demand aspect in SAFe by providing valuable information for the following purposes:
To identify and fix any errors or defects that may prevent the code from being deployed or released To ensure that the code meets the quality standards and security checks, such as static code analysis, code coverage, and code review To verify that the code and components are integrated and merged correctly into the trunk To track the progress and status of the features and capabilities that are being developed and delivered The deployment cycle time is the measure of how long it takes to deploy the code and components from the source control system to the production environment. The deployment cycle time indicates the efficiency and reliability of the deployment process and the speed of delivery. Monitoring the deployment cycle time helps to support the Release on Demand aspect in SAFe by providing valuable information for the following purposes:
To optimize the deployment process and reduce the lead time and variability To automate the deployment process and eliminate manual steps and errors To align the deployment process with the market demand and release strategy To evaluate the impact and value of the deployed features and capabilities 7

Explanation
Canary releases are used to allow incremental release of new functionality to customers. A canary release is a change management strategy for software releases that reduces the downtime and risk of deploying new versions of software. A canary release involves having two identical but separate environments: one is the active environment that serves the user traffic, and the other is the inactive environment that hosts the new version of the software. The release process consists of switching a small portion of the user traffic from the active environment to the inactive environment, after verifying that the new version is working properly. The portion of users who receive the new version are called canaries, as they serve as early indicators of the quality and performance of the new version. The canary release has several benefits, such as:
It allows for fast and reliable rollback, in case of any issues or errors in the new version, by simply switching back to the active environment.
It eliminates the need for complex and error-prone migration scripts, as the inactive environment can be prepared and tested in advance, without affecting the active environment.
It enables testing and experimentation of the new version with a subset of users, by directing some user traffic to the inactive environment, before switching completely.
It facilitates continuous delivery and deployment, by automating the switching process and reducing the transaction cost and risk of moving changes to production

Explanation
Value stream mapping metrics include calculations of three metrics: total process time, rolled % complete and accurate, and activity ratio. Value stream mapping is a lean technique to analyze, design, and manage the flow of materials and information required to bring a product or service to a customer. It uses a system of standard symbols to depict various work streams and information flows, and to identify value-adding and non-value-adding activities. Value stream mapping metrics are used to measure the efficiency and effectiveness of a production process, and to identify areas for improvement. Some of the common value stream mapping metrics are:
Total process time: the sum of the process times for all the activities in the value stream. It measures how long it takes to complete a unit of work from start to finish.
Rolled % complete and accurate: the percentage of units that are completed and accurate at each step of the value stream, multiplied across all the steps. It measures the quality and reliability of the process output.
Activity ratio: the ratio of value-adding time to total lead time. It measures the proportion of time spent on activities that create value for the customer, versus activities that do not

Explanation
The Release on Demand aspect enables the key business objective of delivering business value to customers.
Release on Demand is the process by which features deployed into production are released incrementally or immediately to customers based on market demand. It 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 decision of what and when to release is a critical economic driver that requires careful consideration of the customer needs, market rhythms, and economic outcomes. Release on Demand 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. Release on Demand involves four activities: release, stabilize and operate, measure, and learn. These activities help to deliver the solution to end users, ensure the solution is working well from a functional and nonfunctional perspective, quantify the value delivered by the solution, and collect feedback and prepare for the next loop through the CDP3

Explanation
The DevOps Health Radar aligns the four aspects of the Continuous Delivery Pipeline to four stakeholder concerns: alignment, quality, time-to-market, and business value. The DevOps Health Radar is a tool that helps Agile Release Trains (ARTs) and Solution Trains assess their ability to Release on Demand, which is the process of delivering value to customers whenever there is a business need. The DevOps Health Radar consists of four dimensions that correspond to the four aspects of the Continuous Delivery Pipeline: Continuous Exploration (CE), Continuous Integration (CI), Continuous Deployment (CD), and Release on Demand. Each dimension has four sub-dimensions that reflect the key practices and capabilities that enable the flow of value.
The DevOps Health Radar helps the ARTs and Solution Trains to measure their maturity in each sub-dimension, using a scale of Sit, Crawl, Walk, Run, or Fly. The DevOps Health Radar also helps the ARTs and Solution Trains to identify the gaps and improvement opportunities in their DevOps practices, and to prioritize the next steps toward achieving higher levels of maturity. The DevOps Health Radar aligns the four aspects of the Continuous Delivery Pipeline to four stakeholder concerns, as shown in Figure 1:
Alignment – Alignment is the concern of ensuring that the solution is aligned with the customer needs, market opportunities, and strategic goals of the enterprise. Alignment is achieved by applying the CE aspect, which involves exploring the market and customer problems, defining a vision, roadmap, and set of features for the solution, and validating the assumptions and hypotheses with customer feedback and data.
Quality – Quality is the concern of ensuring that the solution meets the functional and nonfunctional requirements and standards, and that it does not introduce any defects or vulnerabilities. Quality is achieved by applying the CI aspect, which involves developing, testing, integrating, and validating new functionality in preparation for deployment and release.
Time-to-market – Time-to-market is the concern of ensuring that the solution can be delivered and deployed to the production environment as fast and as frequently as possible, without compromising quality or security. Time-to-market is achieved by applying the CD aspect, which involves automating and streamlining the deployment process, and ensuring the stability and reliability of the production environment.
Business value – Business value is the concern of ensuring that the solution delivers the expected outcomes and benefits to the customer and the enterprise, and that it can be adapted and improved based on the changing needs and feedback. Business value is achieved by applying the Release on Demand aspect, which involves releasing new functionality to the customer incrementally or immediately, based on the market demand, and measuring and learning from the results12
1: https://scaledagileframework.com/blog/assess-your-devops-health-with-the-safe-devops-radar/ 2:
https://support.scaledagile.com/s/article/Exam-Study-Guide-SDP-6-0-SAFe-for-DevOps

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..

Explanation
According to the SAFe DevOps Practitioner 6.0 study guide1, Lean UX is used in Continuous Exploration to create a platform to continuously explore. Continuous Exploration is the process of creating alignment on what needs to be built, synthesizing Solution ideas into ART Backlog Features, and utilizing WSJF to prioritize a DevOps backlog. Lean UX is a team-based approach to building better products by focusing less on the theoretically ideal design and more on iterative learning, overall user experience, and customer outcomes.
Lean UX design extends the traditional UX role beyond merely executing design elements and anticipating how users might interact with a system. Instead, it encourages a far more comprehensive view of why a Feature exists, the functionality required to implement it, and the benefits it delivers. By getting immediate feedback to understand if the system will meet the fundamental business objectives, Lean UX provides a closed-loop method for defining and measuring value. Therefore, Lean UX is used in Continuous Exploration to create a platform that enables teams to experiment with different hypotheses, validate their assumptions, and learn from their failures.

Explanation
In addition to Continuous Integration, two other aspects of the CDP are Continuous Deployment and Continuous Exploration. Continuous Deployment 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. Continuous Exploration focuses on creating alignment on what needs to be built, using design thinking and hypothesis-driven development. Continuous Exploration enables the discovery of the most valuable solutions for the customers and the enterprise

Explanation
According to the SAFe DevOps Practitioner 6.0 study guide and handbook, one potential outcome of the Verify activity of the Continuous Delivery Pipeline is to analyze regression testing results. This means that the Verify activity involves checking the functionality and performance of the Solution after a deployment, and comparing it with the expected results. The handbook states that “Verify is the activity of checking the functionality and performance of the Solution after a deployment, and comparing it with the expected results.”1 Therefore, one of the possible outcomes of this activity is to analyze how well the Solution meets the quality standards and customer requirements.

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.

Explanation
After the team maps the steps of the current state value stream during value stream mapping, the next two steps are to measure the performance at each step and calculate the activity ratio. Measuring the performance at each step involves collecting data on cycle time, lead time, process time, wait time, defect rate, and other relevant metrics. This helps to identify the sources of waste, delays, and inefficiencies in the value stream.
Calculating the activity ratio involves dividing the total process time by the total lead time and multiplying by
100. This gives the percentage of time that is spent on value-adding activities versus non-value-adding activities. The activity ratio helps to quantify the flow and identify opportunities for improvement

Explanation
According to the SAFe DevOps Practitioner 6.0 study guide and handbook, Weighted Shortest Job First (WSJF) is applied to backlogs to identify relative economic value. This means that the WSJF algorithm uses factors such as user and business value, time criticality, risk reduction and/or opportunity enablement, and job size to rank the jobs in the backlog based on their economic benefit. The handbook states that “WSJF is estimated as the relative cost of delay divided by the relative job duration.”1 Therefore, WSJF helps teams prioritize their backlog items for continuous delivery.

Explanation
Ensuring that security controls like threat modeling, application security, and penetration testing are in place throughout the Continuous Delivery Pipeline is an example of Continuous security monitoring. This skill involves the ongoing assessment and oversight of security measures within the pipeline to ensure that the software remains secure against potential threats at all stages of its development and deployment.

Explanation
One skill that can significantly accelerate mean-time-to-restore by enabling support teams to see issues the way actual end users did is session replay. Session replay is a technique that allows the support team to replay end-user sessions to research incidents and identify problems. Session replay captures the user’s interactions with the application, such as clicks, scrolls, keystrokes, and mouse movements, and reproduces them in a video-like format. Session replay can help the support team to understand the user’s behavior, context, and feedback, as well as to reproduce and diagnose errors, bugs, and performance issues. Session replay can also help the support team to communicate and collaborate with the development team and the stakeholders, by providing visual evidence and data of the incidents. Session replay can significantly accelerate mean-time-to-restore by reducing the time and effort required to investigate and resolve issues, as well as by improving the quality and reliability of the application

Explanation
The people responsible for the next step should be consulted first when calculating the % Complete and Accurate (%C&A) metric. 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 consulting the people responsible for the next step, the %C&A metric can reflect the actual customer satisfaction and the potential waste in the process1

Explanation
The main goal of a SAFe DevOps transformation is to align people across the Value Stream to deliver value continuously. A Value Stream is the primary construct for understanding, organizing, and delivering value to the customer. A SAFe DevOps transformation involves applying the CALMR approach (Culture, Automation, Lean flow, Measurement, and Recovery) to the four aspects of the CDP (Continuous Exploration, Continuous Integration, Continuous Deployment, and Release on Demand). By doing so, the organization can achieve the following benefits: faster time-to-market, higher quality, lower costs, better customer satisfaction, and improved employee engagement5

Explanation
When preparing a DevOps backlog, prioritizing features using WSJF includes two factors: cost of delay and duration/job size. WSJF stands for Weighted Shortest Job First, which is a prioritization model used to sequence work for maximum economic benefit. WSJF is estimated as the relative cost of delay divided by the relative job duration. Cost of delay is the money lost by delaying or not doing a job for a specific time. It is a measure of the economic value of a job over time. Job duration is the time it takes to complete a job. Jobs that can deliver the most value in the shortest duration provide the best economic return. WSJF also considers other factors that contribute to the cost of delay, such as user and business value, time criticality, and risk reduction and/or opportunity enablement

Explanation
Identifying the Minimal Marketable Feature (MMF) is part of Lean UX, which is a user-centric approach to designing and delivering products. An MMF is a small, self-contained feature that can be developed quickly and that delivers significant value to the user. It is the smallest unit of functionality that can be released to the market and generate feedback. Lean UX advocates for releasing MMFs as early and often as possible, to validate assumptions, learn from users, and iterate on the product