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👋 Welcome to the final week of the GitHub Copilot Free learning journey and cert prep!
Over the past three weeks, we’ve learned a lot together—exploring Copilot, tackling super-engaging challenges, and gathering valuable feedback from all of you. It’s been amazing to see how these resources have helped shape your learning curve and exam prep!
Now, as we enter this last stretch, let’s make it count. This week is all about wrapping up strong, reinforcing key learnings, and getting you ready to ace that certification (if you're opting for one). Here’s what’s coming up:
If you’d like a recap of what we’ve covered throughout this series, see the detailed study guide.
Need a quick refresher or want to look back into earlier lessons?
Your First Move: Study Smart, Level Up! 🎯
Note
Here’s your friendly nudge: don’t forget—top participants will snag a GitHub Certifications exam voucher! 🎟️ and what’s more rewarding than finishing strong in the final week of this learning journey! Make this week count! 🚀
Knowledge Checkpoint 🏁 - Let’s See What You’ve Got! 🧠
1. When leveraging GitHub Copilot for unit testing, what is the most effective strategy to ensure the generated test cases cover edge cases?
(Choose two correct answers.)
A) Rely on Copilot’s first test suggestion and refine manually
B) Provide explicit comments describing edge case scenarios before writing the function
C) Use a combination of property-based testing and manually crafted assertions
D) Trust Copilot’s completion and execute tests without modifications
2. Copilot suggests a test case that fails due to floating-point precision errors. What should you do?
A) Ignore the test case and generate a new one
B) Modify assertions to account for precision tolerance
C) Use Copilot Chat to rewrite the function with better numerical stability
D) Disable Copilot when dealing with floating-point calculations
3. You need to ensure that Copilot-generated tests follow a Test-Driven Development (TDD) workflow. What is the best approach?
A) Write failing test cases before implementing the function
B) Let Copilot generate tests after writing the function
C) Use Copilot Chat to refactor existing tests post-development
D) Enable Copilot’s TDD mode
4. Which of these scenarios could cause GitHub Copilot to generate non-functional or incorrect test cases?
A) Using Copilot without an internet connection
B) Providing incomplete function definitions without parameter types
C) Using Copilot with multiple test frameworks in the same file
D) Asking Copilot to generate tests for functions written in a different programming language
5. GitHub Copilot Chat provides enhanced debugging capabilities. Which of the following strategies improve debugging efficiency?
(Choose two correct answers.)
A) Asking Copilot Chat to explain unexpected test failures
B) Using Copilot Chat to automatically resolve compilation errors
C) Providing error logs to Copilot Chat for step-by-step troubleshooting
D) Relying entirely on Copilot’s debugging suggestions without verification
6. You are working on an API that processes large JSON payloads. Copilot keeps generating tests with small sample data. How do you fix this?
A) Manually modify Copilot’s output to include large payloads
B) Provide comments specifying ‘test with large JSON data’ before invoking Copilot
C) Enable Copilot’s ‘large dataset’ mode in settings
D) Increase the timeout value for Copilot to process larger requests
7. What is the primary function of GitHub Copilot’s content exclusion settings?
A) Prevent Copilot from accessing sensitive internal documentation
B) Restrict Copilot from suggesting code similar to private repositories
C) Block Copilot from using specific types of data when generating suggestions
D) Limit Copilot’s ability to suggest insecure code patterns
8. In what situation might GitHub Copilot generate insecure code, even when security settings are enabled?
(Choose two correct answers.)
A) When Copilot is used without context-aware suggestions
B) When Copilot generates code for outdated cryptographic practices like MD5 hashing
C) When Copilot is used in a private repository with strict security settings
D) When Copilot generates suggestions based on similar insecure patterns from public repositories
9. You are using GitHub Copilot to generate tests for a function handling financial transactions. However, Copilot consistently misses testing for integer overflow errors. What should you do?
A) Increase the number of test cases Copilot generates
B) Explicitly add a comment describing edge cases, like integer overflows, before invoking Copilot
C) Use Copilot Chat to ask for ‘comprehensive financial validation tests’
D) Modify Copilot’s configuration to generate stricter tests
10. When writing JavaScript tests with Jest, how can you ensure Copilot generates async test cases correctly?
A) Add
@async
as an annotationB) Provide comments specifying ‘test async functions’
C) Manually modify Copilot-generated test cases
D) Change Jest’s settings to enable async mode
11. A developer is generating test cases using Copilot Chat in Visual Studio Code but notices that Copilot is not suggesting relevant test scenarios. What could be the reason?
A) Copilot is not trained to write test cases
B) Copilot only generates tests when a function is explicitly documented
C) Copilot is missing necessary function comments or contextual prompts
D) The test framework is not supported by Copilot
12. Which of the following GitHub Copilot SKUs offers enterprise-wide content exclusion settings for security-sensitive codebases?
A) GitHub Copilot Individual
B) GitHub Copilot for Business
C) GitHub Copilot Enterprise
D) GitHub Copilot Pro
13. You want Copilot to generate secure cryptographic implementations. Which of these approaches is the best?
A) Specify ‘Use secure cryptographic methods’ in comments
B) Copy Copilot’s first suggestion and manually verify security
C) Disable Copilot when writing encryption functions
D) Enable Copilot’s security-enhanced mode
14. You have a function handling user authentication, and Copilot generates the following test case:
What is the most critical issue with this test?
A) The test lacks edge cases
B) It uses hardcoded credentials, which is a security risk
C) Copilot should generate negative test cases as well
D) All of the above
15. Which of the following GitHub Copilot security safeguards help mitigate accidental exposure of credentials in generated code?
(Choose two correct answers.)
A) Copilot automatically detects API keys and removes them
B) Copilot respects repository secrets settings and avoids using secret keys in suggestions
C) Copilot flags insecure patterns but does not block suggestions
D) GitHub Copilot’s content filters prevent suggesting hardcoded credentials
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