Free Practice Questions for Microsoft GH-300 Exam

Question 1

What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

ASuggest innovative coding solutions that are not yet popular.

BSuggest completely novel projects, while reducing time on a project.

CSuggest code snippets that reflect the most common practices in the training data.

DSuggest homogeneous solutions if provided a diverse data set.

Correct Answer: C. Suggest code snippets that reflect the most common practices in the training data.

Explanation:

''Because GitHub Copilot is trained on a large amount of publicly available code, it often suggests snippets that reflect common coding practices and idioms.''

This shows that Copilot reflects the most common practices it has seen in its training data.

Question 2

What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

AGitHub Copilot can independently verify the statistical significance of results.

BGitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.

CGitHub Copilot will automatically correct any statistical errors found in the user's initial code.

DGitHub Copilot can design new statistical methods that have not been previously documented.

Correct Answer: B. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.

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.

Question 3

What role does the pre-processing of user input play in the data flow of GitHub Copilot Chat?

AIt filters out irrelevant information from the user's input prompt.

BIt enriches the input prompt with additional context before passing it to the language model.

CIt directly generates a response based on the user's input prompt.

DIt formats the output response before presenting it to the user.

Correct Answer: B. It enriches the input prompt with additional context before passing it to the language model.

Explanation:

''Before being sent to the model, user input is pre-processed to enrich the prompt with contextual information such as open files, code selections, or previous conversation history.''

This shows that pre-processing is used to enrich input with context, making option B correct.

Question 4

What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each correct answer presents part of the solution. Choose two.)

AHate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)

BSexually suggestive or explicit content

CCode that contains logical errors or produces unexpected results

DCode comments containing strong opinions or criticisms

Correct Answer: A. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes); B. Sexually suggestive or explicit content

Explanation:

GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.

Question 5

How long does it take content exclusion to add or be updated?

AUp to 30 minutes

B45 - 60 minutes

C60 - 90 minutes

D24 hours

Correct Answer: A. Up to 30 minutes

Explanation:

Content exclusions typically take up to 30 minutes to be added or updated.

Question 6

How can GitHub Copilot assist in maintaining consistency across your tests?

ABy identifying a pattern in the way you write tests and suggesting similar patterns for future tests.

BBy automatically fixing all tests in the code based on the context.

CBy providing documentation references based on industry best practices.

DBy writing the implementation code for the function based on context.

Correct Answer: A. By identifying a pattern in the way you write tests and suggesting similar patterns for future tests.

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.

Question 7

When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?

ABy using a specific setting in GitHub Copilot's configuration.

BBy using a specific command in the terminal.

CBy using specific prompt examples in your chat request.

DBy using a specific slash command in the prompt.

Correct Answer: C. By using specific prompt examples in your chat request.

Explanation:

''The quality of Copilot Chat responses depends on the clarity and specificity of your prompts. You can guide Copilot to follow organizational standards by including examples or requirements in your request.''

This means prompt engineering with specific examples is the way to align with company standards.

Question 8

What is the primary purpose of organization audit logs in GitHub Copilot Business?

ATo track the number of lines of code suggested by Copilot

BTo assign software licenses within the organization

CTo monitor code conflicts across repositories

DTo monitor administrator activities and actions within the organization

Correct Answer: D. To monitor administrator activities and actions within the organization

Explanation:

''Audit logs in Copilot Business allow enterprise and organization administrators to monitor administrator activities and configuration changes.''

This proves that their purpose is not line tracking or license assignment but monitoring admin activities.

Question 9

Which of the following does GitHub Copilot's LLM derive context from when producing a response?

AFrequency of commits to the repository

BSyntax highlighting scheme of the code in the IDE

CNeighboring or related files within a project

DVersion control system integrated with the IDE

Correct Answer: C. Neighboring or related files within a project

Explanation:

''Copilot may use context from neighboring or related files in the project to improve the accuracy of its suggestions.''

This confirms that context is enriched with information from related files, making option C correct.

Question 10

What types of content can GitHub Copilot Knowledge Base answer questions about? (Each correct answer presents part of the solution. Choose three.)

ACode snippets

BCompiled binaries

CDocumentation

DDesign patterns

EScreenshots

Correct Answer: A. Code snippets; C. Documentation; D. Design patterns

Explanation:

''GitHub Copilot Knowledge Bases allow you to ask questions about your organization's documentation, design patterns, and code snippets.''

This proves that Copilot Knowledge Base can work with code snippets, documentation, and design patterns, but not binaries or screenshots.