Exam Name: Scaled Agile Framework (SAFe) based on version 6.0 Practice Test 1.4

Exam Name: Scaled Agile Framework (SAFe) based on version 6.0 Practice Test 1.4

Question 33:


In the below given options, What is one of the Lean Thinking Principles?


• Responding to change over following a plan


• Individuals and iterations over processes and tools


• Make value flow without interruptions(Correct)


• Working software over comprehensive documentation


Question 34:


Which of the SAFe Core Competencies of Business Agility includes the dimension of built-in quality?


• Organizational Agility


• Agile Product Delivery


• Enterprise Solution Delivery


• Team and Technical Agility(Correct) <br>

Question 35:


Which core competency from the Lean Enterprise helps align strategy and execution?


• Lean Portfolio Management(Correct)


• Agile Product Delivery


• Organizational Agility


• Team and Technical Agility


Question 36:


During the IP Iteration, company invites every team member to work on any project they choose. Which SAFe Core Value is being exhibited by the business?


• Relentless improvement(Correct)


• Siloed thinking


• Visualizing work


• Make value flow without interruptions


Explanation


The answer is correct because it aligns with one of the core values of the Scaled Agile Framework (SAFe).


SAFe promotes a set of core values that organizations should embrace in order to achieve successful agile development and delivery.


Question 37:


Which Lean Thinking concepts cover the steps involved in spotting an opportunity and seeing it through to release and validation?


• Precisely specify value by product


• Identify the Value Stream for each product(Correct)


• Pursue perfection


• Make value flow without interruptions


Explanation


The right response to all of the operations, from identifying an opportunity to release and validation, is to identify the value stream for each product.


Explanation


It aligns with the principles and goals of continuous delivery and DevOps methodologies. Continuous Exploration refers to the practice of continuously


exploring and understanding customer needs, market trends, and business goals to ensure that the delivered software aligns with the organization's strategic objectives and delivers value to the customers. In a continuous delivery pipeline, the aim is to streamline the software development and delivery process to enable frequent and reliable releases of high-quality software. However, merely delivering software frequently does not guarantee value alignment with business needs. It is crucial to have a mechanism in place to continuously explore and understand the ever-changing business needs and align the software development efforts accordingly. By incorporating Continuous Exploration into the continuous delivery pipeline, organizations can ensure that the software being developed and delivered remains relevant, valuable, and aligned with the business needs. It involves practices such as market research, user feedback, product discovery, and strategic planning to guide the software development process.


Question 38:


Which step in the continuous delivery pipeline places the greatest emphasis on understanding the demands of the client?


• Continuous Deployment


• Release on Demand


• Continuous Integration


• Continuous Exploration(Correct)


Question 39:


Why is it vital to spend time "in the zone" and why should one do so?


• To make work in process visible


• To maximize ideal productivity time(Correct)


• To reduce queue lengths


• To refine productive collaboration


Question 40:


What is used to articulate both functional and non-functional requirements?


• Architectural Runway


• Enablers


• Milestones


• Features(Correct)


Explanation


Features are a common way to describe both functional and non-functional requirements in software development and product management. Functional requirements refer to the specific behaviors and functions that a system, software, or product should perform. They describe what the system should do in terms of its functionality and how it should respond to different inputs or stimuli. Examples of functional requirements could include features like user authentication, data validation, report generation, or integration with other systems. Non-functional requirements, on the other hand, describe the qualities, characteristics, and constraints that define how the system should perform. Performance, dependability, security, usability, maintainability, and scalability are some of the factors they emphasize. Non-functional requirements may include features like response time, data storage capacity, security measures, user interface design guidelines, or compatibility with specific hardware or software platforms. In practice, both functional and non-functional requirements can be expressed as features or user stories, which are concise and concrete descriptions of desired system behaviors or qualities. Features serve as a way to capture and communicate the requirements to the development team and stakeholders, enabling them to understand what needs to be built and what criteria the system should meet. By using the term "features" to describe both functional and non-functional requirements, it emphasizes that these requirements can be expressed as specific capabilities or qualities that the system should possess to fulfill its intended purpose effectively.


Question 41:


Which of the following techniques for getting customer feedback is based on creating analytical systems to offer data about how customers are utilising the solution?


• Telemetry(Correct)


• Continuous exploration


• Refactoring


• Continuous integration


Explanation


Telemetry specifically refers to the process of collecting and transmitting data from remote or inaccessible sources, such as customer devices or


software applications, to be analyzed and monitored. In the context of customer feedback, telemetry involves gathering data about how customers are


using a particular solution, product, or service. By building analytic systems that collect telemetry data,


companies can gain insights into customer behavior, usage patterns, and performance metrics. This information allows businesses to understand how


customers interact with their solutions and make informed decisions about improvements, feature enhancements, and overall customer experience.


Telemetry is commonly used in various industries, including software development, online services, and IoT (Internet of Things) devices, to track and


analyze user behavior, identify issues or bottlenecks, and make data-driven decisions to optimize their offerings.