Questions GH-300 Exam & Latest GH-300 Mock Exam

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Microsoft GH-300 Exam Syllabus Topics:

Section	Weight	Objectives
Use GitHub Copilot features	30%	- IDE integration 1. File and repository exclusions 2. CLI usage and setup 3. Inline suggestions and chat usage - Advanced Copilot capabilities 1. Copilot Spaces and Spark 2. Pull request summaries and code review 3. Agent Mode and Edit Mode - Organization administration 1. Policy management and feature control 2. Audit logs and subscription management
Improve developer productivity with Copilot	10%	- Testing and security 1. Security and performance suggestions 2. Unit and integration test generation - Software development enhancement 1. Sample data generation 2. Code generation and refactoring 3. Legacy code modernization
Use GitHub Copilot responsibly	15%	- Copilot responsible operation 1. Safe usage practices in development workflows - Responsible AI principles 1. Validation of AI-generated output 2. Risks and limitations of generative AI 3. Ethical AI usage and governance
Privacy, exclusions, and safeguards	15%	- Security safeguards 1. Duplication detection 2. Security warnings and mitigations - Privacy configuration 1. Data ownership and usage limitations 2. Content exclusions and repository controls
Prompt engineering and context crafting	10%	- Optimization 1. Prompt refinement techniques - Prompt design 1. Prompt structure and context usage 2. Zero-shot and few-shot prompting
Understand GitHub Copilot data and architecture	15%	- Data handling 1. Input processing and prompt construction 2. Data flow and privacy boundaries - System behavior and limitations 1. Suggestion lifecycle 2. LLM limitations

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Microsoft GitHub Copilot Sample Questions (Q28-Q33):

NEW QUESTION # 28
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 Teams
B. GitHub Copilot Individual
C. GitHub Copilot Business for non-GHE customers
D. GitHub Copilot Enterprise

Answer: D

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.
Reference: GitHub Copilot pricing and features.

NEW QUESTION # 29
Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?

A. Ensuring code security prevents unauthorized access and potential data breaches.
B. Ensuring code security supports the development of more advanced AI features.
C. Ensuring code security maintains the integrity of the AI system.
D. Ensuring code security enables the AI system to handle larger datasets effectively.

Answer: A

Explanation:
"Securing the code used with generative AI prevents unauthorized access, helps safeguard sensitive data, and protects against potential breaches." This confirms option A is correct because the primary importance lies in avoiding unauthorized access and breaches.
References: GitHub Copilot responsible use and AI security documentation.

NEW QUESTION # 30
What GitHub Copilot configuration needs to be enabled to protect against IP infringements?

A. Blocking public code matches
B. Blocking license check configuration
C. Allowing license check configuration
D. Allowing public code matches

Answer: A

Explanation:
"By default, suggestions matching public code are allowed, but you can choose to block public code matches.
This setting can be enabled to reduce the risk of intellectual property infringement." This shows that enabling "Blocking public code matches" is the configuration required to protect against IP issues.
References: GitHub Copilot configuration settings documentation.

NEW QUESTION # 31
Why might a Generative AI (Gen AI) tool create inaccurate outputs?

A. The training data might contain biases or inconsistencies.
B. The Gen AI tool is experiencing downtime and is not fully recovered.
C. The Gen AI tool is overloaded with too many requests at once.
D. The Gen AI tool is programmed with a focus on creativity over factual accuracy.

Answer: A

Explanation:
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.
Reference: Generative AI limitations documentation.

NEW QUESTION # 32
Which of the following describes role prompting?

A. Tell GitHub Copilot in what tone of voice it should respond
B. Describing in your prompt what your role is to get a better suggestion
C. Giving GitHub Copilot multiple examples of the form of the data you want to use
D. Prompt GitHub Copilot to explain what was the role of a suggestion

Answer: B

Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.

NEW QUESTION # 33
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