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Microsoft GH-300 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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.
Topic 4
  • 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.

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Microsoft GitHub Copilot Sample Questions (Q90-Q95):

NEW QUESTION # 90
You recently ended an interactive GitHub Copilot CLI session.
You need to start a new session that meets the following requirements:
* Provides a list of previously saved interactive sessions
* Resumes the most recently ended session
Which command should you run for each requirement? Each command may be used once, more than once, or not at all.

Answer:

Explanation:

Explanation:


NEW QUESTION # 91
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

Answer: A

Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.
Reference: GitHub Copilot Business content exclusion documentation.


NEW QUESTION # 92
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

Answer: B

Explanation:
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface, which allows for direct and immediate feedback.


NEW QUESTION # 93
You have a developer device named Device1 that runs macOS and has Homebrew installed.
Device1 will be used by a developer who has a GitHub Copilot plan.
You have a GitHub Enterprise Cloud enterprise account that has data residency at contoso.ghe.com.
You need to install the GitHub Copilot CLI on Device1 and start interactive authentication against the correct GitHub host.
Which two commands should you run in sequence?

Answer: B

Explanation:
Current GitHub Copilot documentation uses the standalone Copilot CLI installation and authentication flow.
On macOS with Homebrew, GitHub documents brew install --cask copilot-cli. For a GitHub Enterprise Cloud account with data residency, the CLI should authenticate directly against the enterprise host by using copilot login --host https://SUBDOMAIN.ghe.com; in this scenario that host is https://contoso.ghe.com. This is important because the Copilot license and authentication context must correspond to the GHE.com account that provides access. The PDF ' s selected commands reflect an older CLI flow and contain OCR or typing errors. For current GitHub Copilot Docs, the verified sequence is the Homebrew cask installation followed by copilot login --host https://contoso.ghe.com.


NEW QUESTION # 94
How can users provide feedback about GitHub Copilot Chat using their IDE?

Answer: C

Explanation:
"In supported IDEs, you can provide feedback directly from the Copilot Chat panel by selecting the 'Share Feedback' option." This establishes that the in-IDE "Share Feedback" button is the official channel for submitting user feedback.
References: GitHub Copilot Chat feedback documentation.


NEW QUESTION # 95
......

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