GitHub CopilotCertification Exam practice exam guide & GitHub-Copilot actual test cram

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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.
Topic 2
  • GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
Topic 3
  • Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.

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GitHub CopilotCertification Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

Answer: B


NEW QUESTION # 16
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

Answer: A,D,E

Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.


NEW QUESTION # 17
When using GitHub Copilot to identify missing tests in your codebase, which of the following is the most important factor to consider?

Answer: B

Explanation:
GitHub Copilot needs the relevant code and test files in its context window to spot where tests are missing - without that context, it can't accurately identify gaps.


NEW QUESTION # 18
An Organization wants to adopt GitHub Copilot to support their developer in writing code. Which of the following statements best describes the responsible AI operation?

Answer: D

Explanation:
Responsible AI operation involves transparency, oversight, and security. By enforcing human review and applying security best practices, teams can ensure responsible AI operation and Accountability.
Reference:
https://learn.microsoft.com/en-us/training/modules/responsible-ai-with-github-Copilot/5-summary?ns-enrollment-type=learningpath&ns-enrollment-id=learn.github-Copilot


NEW QUESTION # 19
How can users provide feedback about GitHub Copilot Chat using their IDE?

Answer: D

Explanation:
In supported IDEs (e.g., Visual Studio or JetBrains), you can click the "Share Feedback" (or
"Send feedback") button directly in the Copilot Chat panel to submit likes, dislikes, and comments on any response.


NEW QUESTION # 20
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