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Why is it important to take a structured approach to analyze problems in the delivery pipeline?
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.
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