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| Topic | Details |
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| 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.
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| 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.
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| Topic 3 | - 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.
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GitHub CopilotCertification Exam Sample Questions (Q124-Q129):
NEW QUESTION # 124
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution.
Choose two.)
- A. Monthly as a subscription
- B. Free (not billed) for all open source projects
- C. Annually as a subscription
- D. Monthly, as a metered service based on actual consumption
Answer: A,C
Explanation:
GitHub Copilot Individual is billed as a monthly or annual subscription.
NEW QUESTION # 125
Why might a Generative AI (Gen AI) tool create inaccurate outputs?
- A. The Gen AI tool is overloaded with too many requests at once.
- B. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
- C. The training data might contain biases or inconsistencies.
- D. The Gen AI tool is experiencing downtime and is not fully recovered.
Answer: C
Explanation:
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.
NEW QUESTION # 126
What do you check when GitHub Copilot content exclusions are not working? Each correct answer presents part of the solution. (Choose two.)
- A. If the user is part of the content exclusion team that limits the use of content exclusions.
- B. If the content exclusion settings changed in the last 30 minutes or before that.
- C. If GitHub Copilot can connect to the server selected in your user settings.
- D. If the user is in an organization that has content exclusions configured.
Answer: B,D
Explanation:
Verify that the user belongs to an organization (or enterprise) where content exclusion rules have actually been set up.
Check whether the exclusion policy was recently modified - changes can take up to 30ꢀminutes to propagate before they take effect.
NEW QUESTION # 127
What are the additional checks that need to pass before the GitHub Copilot responses are submitted to the user? Each correct answer presents part of the solution. (Choose two.)
- A. Suggestions matching public code (optional based on settings)
- B. Performance benchmarking
- C. Compatibility with user-specific settings
- D. Code quality
Answer: A,D
Explanation:
fter the model generates a suggestion, Copilot runs it through post‑processing filters that test for obvious bugs and security vulnerabilities (Code quality) and, if enabled, block any suggestion that matches public repository code over ~150 characters (Suggestions matching public code) before returning it to the user.
NEW QUESTION # 128
Which of the following is correct about GitHub Copilot Knowledge Bases?
- A. It is an Enterprise feature
- B. All file types are indexed
- C. Indexing is static
- D. All repos are indexed
Answer: A
Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.
NEW QUESTION # 129
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