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Free PDF Quiz 2025 Microsoft GH-300: GitHub Copilot Pass-Sure New Test Discount

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Microsoft GH-300 Exam Syllabus Topics:

Topic
Details

Topic 1

Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.

Topic 2

GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.

Topic 3

Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.

Topic 4

Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.

Topic 5

How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.

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Microsoft GitHub Copilot Sample Questions (Q86-Q91):

NEW QUESTION # 86
How does the /tests slash command assist developers?

A. Constructs detailed test documentation.
B. Creates unit tests for the selected code.
C. Executes test cases to find issues with the code.
D. Integrates with external testing frameworks.

Answer: B

Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.

NEW QUESTION # 87
How can the concept of fairness be integrated into the process of operating an AI tool?

A. Focusing on collecting large datasets for training will ensure fairness.
B. Focusing on accessibility will ensure fairness.
C. Training AI data and algorithms to be free from biases will ensure fairness.
D. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

Answer: C

Explanation:
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.

NEW QUESTION # 88
What reasons could apply if code suggestions are not working in your editor? (Select three.)

A. Your programming language is not supported
B. You do not have an active internet connection
C. Your content exclusion is active and blocks the use of GitHub Copilot
D. You are working in files included in your .gitignore
E. You do not have a valid GitHub Copilot license

Answer: A,B,E

Explanation:
Exact extracts:
* "Copilot requires an active internet connection to provide suggestions."
* "Copilot does not support all programming languages."
References: GitHub Copilot troubleshooting documentation.

NEW QUESTION # 89
How does GitHub Copilot Chat ensure that a function works correctly?

A. By writing the implementation code for the function.
B. By suggesting assertions based on the code's context and semantics.
C. By executing the test cases to validate the correctness of the code.
D. By automatically writing all the tests for the function.

Answer: B

Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.

NEW QUESTION # 90
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 Enterprise
B. GitHub Copilot Teams
C. GitHub Copilot Individual
D. GitHub Copilot Business
E. GitHub Copilot Business for non-GHE Customers

Answer: C

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

NEW QUESTION # 91
......

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