Scaled Agile SAFe-DevOps Exam Dumps

According to the SAFe DevOps Practitioner 6.0 study guide and handbook, dynamic code analysis is a technical practice that incorporates build-time identification of security vulnerabilities in the code. This means that the code is scanned for potential security risks during the compilation or execution phase, rather than during the testing phase.The handbook states that 'Dynamic code analysis is a technique that identifies security vulnerabilities in the code during compilation or execution.'1Therefore, dynamic code analysis helps teams detect and fix security issues early in the development process.

The first two actions for visualizing the current state of the Continuous Delivery Pipeline are to identify the steps and the people. The Continuous Delivery Pipeline (CDP) represents the workflows, activities, and automation needed to guide new functionality from ideation to an on-demand release of value. The CDP consists of four aspects: Continuous Exploration (CE), Continuous Integration (CI), Continuous Deployment (CD), and Release on Demand. Visualizing the current state of the CDP helps the organization to understand the flow of value, measure the performance, and identify the improvement opportunities. To visualize the current state of the CDP, the first two actions are to identify the steps and the people involved in each aspect of the CDP. The steps are the activities and tasks that are performed to deliver value, such as ideation, development, testing, deployment, and release. The people are the roles and responsibilities that are involved in each step, such as product owners, developers, testers, operations, and security.Identifying the steps and the people helps to create a value stream map of the CDP, which is a visual representation of the end-to-end delivery process

According to the SAFe DevOps Practitioner 6.0 study guide1, scanning application code for security vulnerabilities is an important step in the Continuous Integration aspect of the Continuous Delivery Pipeline. Continuous Integration is the process of developing, testing, integrating, and validating new functionality in preparation for deployment and release. Continuous Integration helps teams to improve quality, reduce risk, and establish a fast, reliable, and sustainable development pace. Scanning application code for security vulnerabilities is one of the ways to ensure that the code meets the quality standards and requirements, and that it does not contain any errors, bugs, or vulnerabilities that could compromise the security or functionality of the Solution.Scanning application code for security vulnerabilities can be performed by using tools such as GitHub Advanced Security for Azure DevOps2, which uses CodeQL to identify vulnerabilities in various languages and frameworks. Therefore, scanning application code for security vulnerabilities is an important step in the Continuous Integration aspect of the Continuous Delivery Pipeline.

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

Culture is a core DevOps principle. DevOps is not only a set of technical practices, but also a mindset and a culture that supports the integration, automation, and collaboration needed to effectively develop and operate a solution. DevOps culture is based on the following values and behaviors:

Shared responsibility -- DevOps culture fosters a sense of shared ownership and accountability for the entire solution lifecycle, from ideation to operation. Development and operations teams work together, not only to help each other, but also to ensure that the overall organization succeeds. DevOps culture eliminates the blame game and the silo mentality, and encourages mutual trust and respect among all stakeholders.

Continuous learning -- DevOps culture promotes a culture of continuous learning and improvement, where teams are constantly seeking feedback, experimenting with new ideas, and learning from failures. DevOps culture embraces a growth mindset, where teams are not afraid to try new things, challenge the status quo, and learn from their mistakes. DevOps culture also supports a learning organization, where teams share their knowledge and best practices, and leverage the collective intelligence of the whole enterprise.

Customer focus -- DevOps culture emphasizes the importance of delivering value to the customer, and aligning the solution to the customer needs and expectations. DevOps culture applies customer-centric and design thinking approaches, such as personas, empathy maps, and customer journeys, to understand and empathize with the customer problems and desires. DevOps culture also validates the assumptions and hypotheses about the customer value proposition, by collecting and analyzing data and feedback from the customer.

Automation -- DevOps culture leverages automation to improve the efficiency, quality, and reliability of the solution delivery process. DevOps culture applies automation to various aspects of the Continuous Delivery Pipeline, such as testing, integration, deployment, monitoring, and security.DevOps culture also uses automation to reduce manual work, eliminate human errors, and accelerate feedback loops5