SAFe-RTE Practice Questions

The well-executed Innovation and Planning (IP) Iteration provides time for teams to plan, demo, and improve together and serves as an occasional buffer time to deliver more predictably

The Agile Release Train (ART) acts as a one-team culture during the Performing and Collaborating stages.

In the Performing stage, the ART has reached a level of high performance where there is a smooth flow of knowledge across the teams and the ART. This stage is characterized by the teams’ ability to deliver value predictably, and they have established strong communication channels that facilitate the sharing of knowledge and best practices1.

The Collaborating stage is marked by the teams’ ability to work together effectively across the ART. In this stage, pairing and sharing practices are common, and there is a strong sense of community and collective ownership of the outcomes. The teams within the ART are not only focused on their individual goals but also on the success of the entire ART1.

These stages reflect the maturity of the ART in terms of teamwork, communication, and shared objectives, which are essential for the one-team culture that SAFe promotes. The one-team culture is crucial for the ART to function effectively as it ensures alignment, fosters collaboration, and drives the continuous flow of value to the customer1.

In the context of SAFe 6.0, version control is a critical practice that supports Continuous Deployment (CD) and, by extension, the entire Continuous Delivery Pipeline (CDP). The items that should be kept under version control include:

Test data: Keeping test data under version control is essential for maintaining consistency across different environments and ensuring that tests can be reliably repeated. This is important for validating the functionality and performance of the system as changes are made over time.

Configuration Items: Configuration items include all the components of the infrastructure and code that are necessary to create a consistent and repeatable deployment process. By maintaining these items under version control, teams can quickly rollback changes if needed and have a clear history of changes to the system’s configuration1.

Version control is not just about tracking changes to code; it also encompasses the environments and the various elements that contribute to the deployment pipeline. This ensures that every aspect of the software delivery process is reproducible, auditable, and reversible, which is a cornerstone of Agile and DevOps practices within SAFe1.