Quiz GH-300 - GitHub Copilot Latest Examcollection Vce

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The goal of a Microsoft GH-300 mock exam is to test exam readiness. Prep4pass's online GitHub Copilot GH-300 practice test can be accessed online through all major browsers such as Chrome, Firefox, Safari, and Edge. You can also download and install the offline version of GitHub Copilot GH-300 Practice Exam software on Windows-based PCs only. You can prepare for the GitHub Copilot exam without an internet connection using the offline version of the mock exam.

Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
Topic 1	Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.
Topic 2	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 3	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 4	Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
Topic 5	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 6	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.

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Examcollection GH-300 Vce - Microsoft GH-300 Exam Questions Vce: GitHub Copilot Pass for Sure

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Microsoft GitHub Copilot Sample Questions (Q61-Q66):

NEW QUESTION # 61
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?

A. By using a specific slash command in the prompt.
B. By using a specific setting in GitHub Copilot's configuration.
C. By using specific prompt examples in your chat request.
D. By using a specific command in the terminal.

Answer: C

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.
References: GitHub Copilot Chat best practices documentation.

NEW QUESTION # 62
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)

A. Prompts and Suggestions: Not retained
B. User Engagement Data: Kept for One Year
C. Prompts and Suggestions: Retained for 28 days
D. User Engagement Data: Kept for Two Years

Answer: C,D

Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.
Reference: GitHub Copilot documentation on data privacy and retention policies for Business andEnterprise plans.

NEW QUESTION # 63
How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)

A. GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
B. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.
C. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
D. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

Answer: A,B

Explanation:
GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.
Reference: GitHub Copilot language learning documentation.

NEW QUESTION # 64
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.)

A. Sexually suggestive or explicit content
B. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
C. Code that contains logical errors or produces unexpected results
D. Code comments containing strong opinions or criticisms

Answer: A,B

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.
Reference: GitHub Copilot documentation on safety and content filtering.

NEW QUESTION # 65
Which GitHub Copilot pricing plans include features that exclude your GitHub Copilot data like usage, prompts, and suggestions from default training GitHub Copilot? (Choose two correct answers.)

A. GitHub Copilot Individual
B. GitHub Copilot Codespace
C. GitHub Copilot Business
D. GitHub Copilot Enterprise

Answer: C,D

Explanation:
"For Copilot Business and Copilot Enterprise, user data such as code suggestions, prompts, and completions are excluded from training GitHub Copilot's models." This confirms that only Business and Enterprise plans provide this exclusion feature.
References: GitHub Copilot data usage and privacy documentation.

NEW QUESTION # 66
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