Intereactive GitHub GitHub-Copilot Testing Engine, Valid GitHub-Copilot Test Preparation

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Tags: Intereactive GitHub-Copilot Testing Engine, Valid GitHub-Copilot Test Preparation, GitHub-Copilot Exam Introduction, GitHub-Copilot Positive Feedback, GitHub-Copilot PDF Cram Exam

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Valid GitHub-Copilot Test Preparation - GitHub-Copilot Exam Introduction

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.
Topic 2	GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
Topic 3	Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.
Topic 4	Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.

GitHub CopilotCertification Exam Sample Questions (Q54-Q59):

NEW QUESTION # 54
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

A. Reliability and Safety
B. Inclusiveness
C. Privacy and Security
D. Fairness

Answer: D

Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.

NEW QUESTION # 55
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

A. You need to check code suggestions yourself before accepting
B. Suggestions matching public code to 'blocked'
C. Enforce blocking of MIT or GPL licensed code
D. Enable GitHub Copilot license checking

Answer: B

Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.

NEW QUESTION # 56
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

A. Changes to content exclusion settings
B. Code suggestions made by GitHub Copilot
C. Suggestions blocked by duplication detection filtering
D. Accepted chat suggestions

Answer: A

Explanation:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.

NEW QUESTION # 57
What is the primary role of the /optimize slash command in Visual Studio?

A. Summarizes your documentation into more maintainable and readable formats.
B. Enhances the performance of the selected code by analyzing its runtime complexity.
C. Translates code into a more performant language.
D. Automatically formats the code according to the selected style guide.

Answer: B

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 # 58
What is a limitation of content exclusions?

A. Content exclusions are only available in the GitHub Copilot Individual plan.
B. Repository administrators and organization owners cannot manage content exclusion settings.
C. Content exclusions can be worked around as it is only available for Git repositories.
D. Content exclusions can only be configured by an enterprise administrator.

Answer: C

Explanation:
A limitation is that content exclusions are only available for Git repositories, meaning they can be worked around if content is accessed through other means.

NEW QUESTION # 59
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INTEREACTIVE GITHUB GITHUB-COPILOT TESTING ENGINE, VALID GITHUB-COPILOT TEST PREPARATION

Intereactive GitHub GitHub-Copilot Testing Engine, Valid GitHub-Copilot Test Preparation