Microsoft GH-300 Online Practice Questions and Exam Preparation

Microsoft GH-300 Online Questions & Answers

• Question 61:

  Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

  A. Inclusiveness
  B. Fairness
  C. Reliability and Safety
  D. Privacy and Security
  B. Fairness

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  Explanation

  "Fairness. AI systems should treat all people fairly." This principle directly defines fairness as the standard for ensuring equality across all individuals.

  References: Microsoft Responsible AI principles.

• Question 62:

  GitHub Copilot in the Command Line Interface (CLI) can be used to configure the following settings: (Each correct answer presents part of the solution. Choose two.)

  A. The default execution confirmation
  B. Usage analytics
  C. The default editor
  D. GitHub CLI subcommands
  A. The default execution confirmation
  B. Usage analytics

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  Explanation

  GitHub Copilot in the CLI allows configuration of settings such as the default execution confirmation and usage analytics. These settings help tailor the CLI experience to the user's preferences.

  GitHub Copilot CLI configuration documentation.

• Question 63:

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

  A. It filters out irrelevant information from the user's input prompt.
  B. It enriches the input prompt with additional context before passing it to the language model.
  C. It directly generates a response based on the user's input prompt.
  D. It formats the output response before presenting it to the user.
  B. It enriches the input prompt with additional context before passing it to the language model.

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  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.

  References: GitHub Copilot Chat architecture documentation.

• Question 64:

  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 Business for non-GHE customers
  B. GitHub Copilot Individual
  C. GitHub Copilot Enterprise
  D. GitHub Copilot Teams
  C. GitHub Copilot Enterprise

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  Explanation

  GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.

  GitHub Copilot pricing and features.

• Question 65:

  What are the potential limitations of GitHub Copilot in maintaining existing codebases?

  A. GitHub Copilot can independently manage and resolve all merge conflicts in version control.
  B. GitHub Copilot might not fully understand the context and dependencies within a large codebase.
  C. GitHub Copilot's suggestions are always aware of the entire codebase.
  D. GitHub Copilot can refactor and optimize the entire codebase up to 10,000 lines of code.
  B. GitHub Copilot might not fully understand the context and dependencies within a large codebase.

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  Explanation

  "Copilot may not always understand the full context or complex dependencies in large codebases, and suggestions may require significant review."

  This proves that the main limitation is a lack of deep awareness of complex or large codebase contexts.

  References: GitHub Copilot limitations documentation.

• Question 66:

  How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

  A. It automatically merges pull requests after an automated review.
  B. It generates a prose summary and a bulleted list of key changes for pull requests.
  C. It can validate the accuracy of the changes in the pull request.
  D. It can answer questions about the changeset of the pull request.
  B. It generates a prose summary and a bulleted list of key changes for pull requests.
  D. It can answer questions about the changeset of the pull request.

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  Explanation

  GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.

  GitHub Copilot Enterprise pull request review documentation.

• Question 67:

  An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

  A. GitHub Copilot Individual
  B. GitHub Copilot Business
  C. GitHub Copilot Business for non-GHE Customers
  D. GitHub Copilot Enterprise
  E. GitHub Copilot Teams
  A. GitHub Copilot Individual

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  Explanation

  For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.

  GitHub Copilot pricing documentation.

• Question 68:

  What is zero-shot prompting?

  A. Only giving GitHub Copilot a question as a prompt and no examples
  B. Giving GitHub Copilot examples of the problem you want to solve
  C. Telling GitHub Copilot it needs to show only the correct answer
  D. Giving GitHub Copilot examples of the algorithm and outcome you want to use
  E. Giving as little context to GitHub Copilot as possible
  A. Only giving GitHub Copilot a question as a prompt and no examples

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  Explanation

  "Zero-shot prompting means asking the model to perform a task without providing examples--only the question or task description is given."

  This confirms that the correct definition of zero-shot prompting is providing no examples, only a direct prompt.

  References: GitHub Copilot and AI prompting documentation.

• Question 69:

  In what ways can GitHub Copilot support a developer during the code refactoring process? (Each correct answer presents part of the solution. Choose two.)

  A. By offering code transformation examples that enhance performance and reduce complexity.
  B. By independently ensuring compliance with regulatory standards across industries.
  C. By providing suggestions for improving code readability and maintainability based on best practices.
  D. By autonomously refactoring entire codebases to the latest programming language.
  A. By offering code transformation examples that enhance performance and reduce complexity.
  C. By providing suggestions for improving code readability and maintainability based on best practices.

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  Explanation

  "Copilot can propose code transformations that improve performance and reduce complexity."

  References: GitHub Copilot code refactoring documentation.

• Question 70:

  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 experiencing downtime and is not fully recovered.
  C. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
  D. The training data might contain biases or inconsistencies.
  D. The training data might contain biases or inconsistencies.

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  Explanation

  Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.

  Generative AI limitations documentation.