Reliable GitHub GitHub-Copilot Mock Test & GitHub-Copilot PDF

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.
Topic 2	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 3	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 4	Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.
Topic 5	Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.

GitHub CopilotCertification Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

A. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
B. GitHub Copilot can independently verify the statistical significance of results.
C. GitHub Copilot can design new statistical methods that have not been previously documented.
D. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.

Answer: A

Explanation:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.

NEW QUESTION # 54
Which of the following describes role prompting?

A. Describing in your prompt what your role is to get a better suggestion
B. Giving GitHub Copilot multiple examples of the form of the data you want to use
C. Tell GitHub Copilot in what tone of voice it should respond
D. Prompt GitHub Copilot to explain what was the role of a suggestion

Answer: A

Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.

NEW QUESTION # 55
How does the /tests slash command assist developers?

A. Creates unit tests for the selected code.
B. Executes test cases to find issues with the code.
C. Constructs detailed test documentation.
D. Integrates with external testing frameworks.

Answer: A

Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.

NEW QUESTION # 56
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

A. Privacy and Security
B. Reliability and Safety
C. Fairness
D. Inclusiveness

Answer: C

Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.

NEW QUESTION # 57
Which of the following is a risk associated with using AI?

A. AI algorithms are incapable of perpetuating existing biases.
B. AI systems can sometimes make decisions that are difficult to interpret.
C. AI eliminates the need for data privacy regulations.
D. AI replaces the need for developer opportunities in most fields.

Answer: B

Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.

NEW QUESTION # 58
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