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| Section | Weight | Objectives |
|---|
| Topic 1: Responsible AI | 7% | - Explain responsible usage of AI
- 1. Risks and limitations of generative AI
- 2. Validating AI-generated output
- 3. Bias, privacy, security, and transparency considerations
- 4. Ethical AI practices and mitigation of harm
|
| Topic 2: Prompt Engineering and Context Crafting | | - Effective prompting techniques
- 1. Context optimization for code generation
- 2. Zero-shot and few-shot prompting
|
| Topic 3: Developer Productivity with Copilot | | - Workflow optimization
- 1. Using Copilot in IDE workflows
- 2. Debugging and code completion enhancement
|
| Topic 4: GitHub Copilot Plans and Features | 31% | - Copilot plans comparison
- 1. IDE integration and Copilot Chat usage
- 2. Copilot Individual vs Business vs Enterprise
- Core Copilot features
- 1. Chat-based assistance
- 2. Inline code suggestions
- 3. CLI and multi-suggestion workflows
|
| Topic 5: GitHub Copilot Data, Privacy, and Architecture | | - Data handling and privacy safeguards
- 1. Data usage and retention considerations
- 2. Content exclusions and enterprise controls
|
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GitHub CopilotCertification Exam Sample Questions (Q35-Q40):
NEW QUESTION # 35
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?
- A. Suggest innovative coding solutions that are not yet popular.
- B. Suggest completely novel projects, while reducing time on a project.
- C. Suggest code snippets that reflect the most common practices in the training data.
- D. Suggest homogeneous solutions if provided a diverse data set.
Answer: C
Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.
NEW QUESTION # 36
While working in Visual Studio Code, a developer notices inline code suggestions appearing as they type. The suggestions seem to adapt based on comments and previously written code. What does this behavior best describe about GitHub Copilot in the IDE?
- A. Copilot uses pre-written or readymade templates to insert common code blocks
- B. Copilot generates suggestions only from previously written code in the current file
- C. Copilot can only operate through command palette triggers, not inline chat
- D. Copilot analyzes comments and context to generate real-time code suggestions tailored for your requirementsright
Answer: D
Explanation:
GitHub Copilot in IDEs like VS Code works by analyzing the surrounding code and developer comments in real-time. It uses this context to suggest relevant completions, often inline as you type.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/3-interacting-with-Copilot
NEW QUESTION # 37
Select a strategy to increase the performance of GitHub Copilot Chat.
- A. Apply prompt engineering techniques to be more specific
- B. Optimize the usage of memory-intensive operations within generated code
- C. Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements
- D. Limit the number of concurrent users accessing GitHub Copilot Chat
Answer: A
Explanation:
Applying prompt engineering techniques to be more specific is the best strategy to increase the performance and relevance of GitHub Copilot Chat's responses.
NEW QUESTION # 38
A large enterprise wants to enhance the code assistance support for their developers by incorporating internal code standards and best practices into GitHub Copilot. The IT team is also looking for scalable AI assistance with enterprise-level data management and governance. Which of the following plans can best accommodate this requirement?
- A. GitHub Copilot for Enterpriseright
- B. GitHub Copilot Business for non-GitHub-hosted repositories
- C. GitHub Copilot for Individual
- D. GitHub Copilot for Business
Answer: A
Explanation:
GitHub Copilot Enterprise includes support for private Knowledge Bases, which enables integration of internal documentation, best practices, and custom code snippets. It also supports enterprise-grade governance, security, and policy enforcement features-ideal for large organizations.
Reference:
https://learn.microsoft.com/en-us/training/modules/github-Copilot-management-and-customizations/2-explore-github-Copilot-plans-associated-management-customization- features?ns-enrollment-type=learningpath&ns-enrollment-id=learn.github-Copilot
NEW QUESTION # 39
When can GitHub Copilot still use content that was excluded using content exclusion?
- A. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
- B. When the user prompts with @workspace.
- C. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
- D. When the repository level settings allow overrides by the user.
Answer: A
Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.
NEW QUESTION # 40
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