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Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
Topic 1	Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
Topic 2	Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.
Topic 3	How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.
Topic 4	Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.

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Microsoft GitHub Copilot Sample Questions (Q61-Q66):

NEW QUESTION # 61
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

A. It automatically merges pull requests after an automated review.
B. It can answer questions about the changeset of the pull request.
C. It generates a prose summary and a bulleted list of key changes for pull requests.
D. It can validate the accuracy of the changes in the pull request.

Answer: B,C

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
Reference: GitHub Copilot Enterprise pull request review documentation.

NEW QUESTION # 62
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

A. It replaces the need for developers in the software development process.
B. It decreases software vulnerabilities from third party dependencies.
C. It increases productivity by automating repetitive coding tasks.
D. It reduces overhead by automating testing workflows.

Answer: C

Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.

NEW QUESTION # 63
What are the potential limitations of GitHub Copilot in maintaining existing codebases?

A. GitHub Copilot might not fully understand the context and dependencies within a large codebase.
B. GitHub Copilot's suggestions are always aware of the entire codebase.
C. GitHub Copilot can refactor and optimize the entire codebase up to 10,000 lines of code.
D. GitHub Copilot can independently manage and resolve all merge conflicts in version control.

Answer: A

Explanation:
"Copilot may not always understand the full context or complex dependencies in large codebases, and suggestions may require significant review." This proves that the main limitation is a lack of deep awareness of complex or large codebase contexts.
References: GitHub Copilot limitations documentation.

NEW QUESTION # 64
How can GitHub Copilot assist in maintaining consistency across your tests?

A. By identifying a pattern in the way you write tests and suggesting similar patterns for future tests.
B. By writing the implementation code for the function based on context.
C. By providing documentation references based on industry best practices.
D. By automatically fixing all tests in the code based on the context.

Answer: A

Explanation:
"Copilot learns from the patterns in your existing tests and suggests similar structures, which helps maintain consistency across the test suite." This confirms that Copilot supports test consistency through pattern recognition and suggestion.
References: GitHub Copilot testing documentation.

NEW QUESTION # 65
Where is the proxy service hosted?

A. Microsoft Azure
B. Google Cloud Platform
C. Amazon Web Service
D. Self hosted

Answer: A

Explanation:
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
Reference: GitHub Copilot infrastructure and hosting information.

NEW QUESTION # 66
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