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| Section | Weight | Objectives |
|---|---|---|
| Use GitHub Copilot features | 25–30 | - Use features across IDEs, GitHub, and CLI - Leverage Copilot Chat and integrations - Compare GitHub Copilot plans and capabilities |
| Understand data and architecture | 10–15 | - Describe data privacy and retention policies - Explain how Copilot processes and trains on data - Identify security and compliance controls |
| Apply prompt engineering and context building | 10–15 | - Provide context and constraints to improve output - Design effective prompts for different tasks - Iterate and refine prompts |
| Configure privacy, exclusions, and security | 10–15 | - Manage enterprise privacy settings - Monitor and audit usage - Set up content exclusions and data controls |
| Improve developer productivity | 10–15 | - Accelerate coding and boilerplate generation - Optimize workflows and collaboration - Automate testing, documentation, and refactoring |
| Use GitHub Copilot responsibly | 15–20 | - Adhere to ethical guidelines and compliance - Understand responsible AI principles - Manage intellectual property and attribution |
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NEW QUESTION # 37
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)
Answer: A,C,E
Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.
Reference: GitHub Copilot prompt engineering best practices.
NEW QUESTION # 38
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?
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.
Reference: GitHub Copilot data analysis limitations.
NEW QUESTION # 39
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?
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 # 40
How can GitHub Copilot assist in maintaining consistency across your tests?
Answer: B
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 # 41
You recently ended an interactive GitHub Copilot CLI session.
You need to start a new session that meets the following requirements:
* Provides a list of previously saved interactive sessions
* Resumes the most recently ended session
Which command should you run for each requirement? Each command may be used once, more than once, or not at all.
Answer:
Explanation:
Explanation:
NEW QUESTION # 42
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