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| Topic | Details |
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| Topic 1 | - How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.
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| 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.
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| Topic 3 | - 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.
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| Topic 4 | - 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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| Topic 5 | - 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.
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GitHub CopilotCertification Exam Sample Questions (Q33-Q38):
NEW QUESTION # 33
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution.
Choose two.)
- A. By adding the important files to your .gitconfig
- B. By adding relevant code snippets to your prompt
- C. By opening the relevant tabs in your IDE
- D. By adding the full file paths to your prompt of important files
Answer: B,C
Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.
NEW QUESTION # 34
What is the primary role of the /optimize slash command in Visual Studio?
- A. Automatically formats the code according to the selected style guide.
- B. Enhances the performance of the selected code by analyzing its runtime complexity.
- C. Translates code into a more performant language.
- D. Summarizes your documentation into more maintainable and readable formats.
Answer: B
Explanation:
The /optimize slash command in Visual Studio enhances the performance of the selected code by analyzing its runtime complexity and suggesting improvements.
NEW QUESTION # 35
How do you generate code suggestions with GitHub Copilot in the CLI?
- A. Use 'gh copilot suggest' -> Write the command you want -> Select the best suggestion from the list.
- B. Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.
- C. Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.
- D. Type out the code snippet -> Use the copilot refine command to enhance it -> Review the suggested command.
Answer: A
Explanation:
In the terminal you invoke Copilot with the GitHub CLI by running gh copilot suggest, then enter your natural‑language request and choose from the list of command suggestions it returns.
NEW QUESTION # 36
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?
- A. GitHub Copilot Enterprise
- B. GitHub Copilot Individual
- C. GitHub Copilot Business for non-GHE customers
- D. GitHub Copilot Teams
Answer: C
Explanation:
For organizations that do not have a GitHub Enterprise Cloud (GHEC) subscription, the GitHub Copilot Business plan is indeed the most cost-effective option that supports an Identity Provider (IdP) like Okta.
Why this plan fits:
Cost: At $19 USD per user/month, it is significantly cheaper than the Copilot Enterprise plan ($39 USD per user/month).
IdP Support: It provides SAML SSO support, allowing you to manage user access through Okta even if your code is hosted elsewhere (e.g., Bitbucket).
No GHEC Requirement: Unlike the "Enterprise" tier, this specific SKU allows you to provide enterprise-style identity and access management without a full GitHub Enterprise setup.
Reference:
https://dev.to/codewithsimon/what-is-github-copilot-and-how-can-it-boost-your-productivity-14gg
NEW QUESTION # 37
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)
- A. Reassign Copilot seats based on GitHub repository size
- B. Add teams to the Copilot subscription for an organization
- C. Remove teams from the Copilot subscription for an organization
- D. Migrate Copilot seat assignments between GitHub organizations
- E. Upgrade or downgrade the subscription tier
Answer: B,C
Explanation:
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.
NEW QUESTION # 38
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