Microsoft GH-300 Prüfung Übungen und Antworten

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Microsoft GH-300 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 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.
Thema 3
  • 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.
Thema 4
  • 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.
Thema 5
  • 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.
Thema 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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GH-300 Exam Fragen - GH-300 Vorbereitung

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Microsoft GitHub Copilot GH-300 Prüfungsfragen mit Lösungen (Q36-Q41):

36. Frage
When using GitHub Copilot to identify missing tests in your codebase, which of the following is the most important factor to consider?

Antwort: D

Begründung:
"The accuracy of Copilot's test generation depends heavily on the available context, including existing code, file structure, and open selections." This confirms that providing the correct context is the most important factor.
References: GitHub Copilot testing documentation.


37. Frage
When can GitHub Copilot still use content that was excluded using content exclusion?

Antwort: B

Begründung:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.
Reference: GitHub Copilot content exclusion documentation.


38. Frage
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.)

Antwort: B,C

Begründung:
"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.


39. Frage
Which Copilot Enterprise features are available in all commercially supported IDEs?

Antwort: C

Begründung:
"Copilot Enterprise provides inline code suggestions and Copilot Chat in all commercially supported IDEs.
Additional features, such as pull request summaries and knowledge bases, are available in GitHub.com." This confirms that inline suggestions and Chat are the features consistently available in IDEs.
References: GitHub Copilot Enterprise feature documentation.


40. Frage
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.)

Antwort: B,D

Begründung:
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.


41. Frage
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