Pass4Future also provide interactive practice exam software for preparing Scaled Agile SAFe DevOps Practitioner Exam SDP (6.0) (SAFe-DevOps) Exam effectively. You are welcome to explore sample free Scaled Agile SAFe-DevOps Exam questions below and also try Scaled Agile SAFe-DevOps Exam practice test software.
Do you know that you can access more real Scaled Agile SAFe-DevOps exam questions via Premium Access? ()
Why is it important to take a structured approach to analyze problems in the delivery pipeline?
Answer : B
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
Value stream mapping metrics include calculations of which three Metrics? (Choose three.)
Answer : A, C, F
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
What is the primary benefit of value stream mapping?
Answer : D
The primary benefit of value stream mapping is that it provides insight into organizational efficiency and value flow. 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 helps the organization to 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 organization identify bottlenecks, dependencies, handoffs, delays, and inefficiencies that affect the flow of value. Value stream mapping also helps the organization 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 flow of value, the organization can increase customer satisfaction, reduce costs, accelerate time-to-market, and enhance business agility
The Release on Demand aspect enables which key business objective?
Answer : A
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
What are two important items to monitor in production to support the Release on Demand aspect in SAFe? (Choose two.)
Answer : A, B
Two important items to monitor in production to support the Release on Demand aspect in SAFe are the number of concurrent users and the system performance. The number of concurrent users is the number of users who are accessing the system at the same time. It is an indicator of the demand and popularity of the system, as well as the potential load and stress on the system resources. The system performance is the measure of how well the system responds to user requests and meets the nonfunctional requirements, such as availability, reliability, scalability, and security. Monitoring the number of concurrent users and the system performance helps to support the Release on Demand aspect in SAFe by providing valuable information for the following purposes:
To optimize the release strategy and timing, based on the user behavior and preferences
To ensure the system can handle the expected and unexpected user traffic, and to scale up or down the system resources as needed
To detect and resolve any issues or incidents that may affect the user experience and satisfaction
To evaluate the impact and value of the released features, and to identify areas for improvement or innovation5