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[General] GH-300 New Braindumps Questions - Updated GH-300 Test Cram

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【General】 GH-300 New Braindumps Questions - Updated GH-300 Test Cram

Posted at yesterday 21:14      View：3 | Replies：0        Print      Only Author   [Copy Link] 1#
P.S. Free & New GH-300 dumps are available on Google Drive shared by Test4Engine: https://drive.google.com/open?id=1gNu9jWkGeRgZK-K98O1ntmcBgCmNnCAB
As practice makes perfect, we offer three different formats of GH-300 exam study material to practice and prepare for the GH-300 exam. Our Microsoft GH-300 practice test simulates the real GitHub Copilot (GH-300) exam and helps applicants kill exam anxiety. These GH-300 practice exams provide candidates with an accurate assessment of their readiness for the GH-300 test.
Microsoft GH-300 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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.

Updated GH-300 Test Cram - New GH-300 Study NotesThe exact replica of the real Microsoft GH-300 exam questions is another incredible feature of the web-based practice test software. With this, you can kill your Microsoft GH-300 exam anxiety. Another format of the GitHub Copilot (GH-300) practice test material is the GH-300 desktop practice exam software. All traits of the web-based GH-300 practice test are present in this version.
Microsoft GitHub Copilot Sample Questions (Q102-Q107):NEW QUESTION # 102
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 specific prompt examples in your chat request.
  • B. By using a specific command in the terminal.
  • C. By using a specific slash command in the prompt.
  • D. By using a specific setting in GitHub Copilot's configuration.
Answer: A
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 # 103
Are there any limitations to consider when using GitHub Copilot for code refactoring?
  • A. GitHub Copilot can only be used with a limited set of programming languages.
  • B. GitHub Copilot understands the context of your entire project and refactors code accordingly.
  • C. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
  • D. GitHub Copilot always produces bug-free code during refactoring.
Answer: C
Explanation:
"While Copilot can suggest refactoring changes, the code may not always follow best practices or be fully optimized. Developers must review and validate suggestions." This confirms that limitations exist in optimization and best practices, making option A correct.
References: GitHub Copilot limitations documentation.

NEW QUESTION # 104
What is the primary role of the /optimize slash command in Visual Studio?
  • A. Automatically formats the code according to the selected style guide.
  • B. Translates code into a more performant language.
  • C. Summarizes your documentation into more maintainable and readable formats.
  • D. Enhances the performance of the selected code by analyzing its runtime complexity.
Answer: D
Explanation:
The /optimize slash command in Visual Studio enhances the performance of the selected code by analyzing its runtime complexity and suggesting improvements.

NEW QUESTION # 105
What type of information can you retrieve through GitHub Copilot Business Subscriptions via REST API?
(Each correct answer presents part of the solution. Choose two.)
  • A. List of all unsubscribed GitHub Copilot members within an organization
  • B. View code suggestions for a specific user
  • C. Get a summary of GitHub Copilot usage for organization members
  • D. List all GitHub Copilot seat assignments for an organization
Answer: C,D
Explanation:
Exact extracts:
* "The REST API for Copilot Business allows you to retrieve a summary of Copilot usage metrics for organization members." References: GitHub Copilot Business REST API documentation.

NEW QUESTION # 106
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)
  • A. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.
  • B. Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.
  • C. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
  • D. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.
Answer: A,B
Explanation:
GitHub Copilot can generate sample data by creating fictitious information based on patterns in its training data and by using suggestions based on API documentation within the repository.

NEW QUESTION # 107
......
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