GitHub-Copilot Prüfungsübungen & GitHub-Copilot Online Praxisprüfung

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GitHub GitHub-Copilot Prüfungsplan:

Thema	Einzelheiten
Thema 1	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.
Thema 2	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.
Thema 3	Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.
Thema 4	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.
Thema 5	How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.
Thema 6	Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.

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GitHub CopilotCertification Exam GitHub-Copilot Prüfungsfragen mit Lösungen (Q59-Q64):

59. Frage
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

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

Antwort: A

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

60. Frage
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

A. Suggest code snippets that reflect the most common practices in the training data.
B. Suggest homogeneous solutions if provided a diverse data set.
C. Suggest completely novel projects, while reducing time on a project.
D. Suggest innovative coding solutions that are not yet popular.

Antwort: A

Begründung:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.

61. Frage
What method can be used to interact with GitHub Copilot?

A. From a watch window in an IDE debug session
B. By using chat capabilities in NeoVim
C. By using a properly configured GitHub CLI
D. From a web browser at https://github.copilot.com

Antwort: B

Begründung:
GitHub Copilot is an AI-powered code completion tool that integrates directly into supported Integrated Development Environments (IDEs) and code editors, such as Visual Studio Code, JetBrains IDEs, NeoVim, and others. Developers interact with it through their coding environment, where it provides real-time code suggestions, autocompletions, and (in some cases) chat-like capabilities via extensions or plugins (e.g., GitHub Copilot Chat in supported editors).
Evaluation of Options:
* A. By using a properly configured GitHub CLIThe GitHub CLI (Command Line Interface) is a tool for interacting with GitHub repositories and workflows from the terminal, but it is not a method for interacting with GitHub Copilot. Copilot operates within code editors/IDEs, not through the CLI.
Incorrect.
* B. By using chat capabilities in NeoVimThis is partially correct. GitHub Copilot can be used in NeoVim with the appropriate plugin (e.g., the Copilot.vim plugin), and GitHub Copilot Chat-a feature that allowsconversational interaction-may also be available depending on the setup and version.
However, "chat capabilities in NeoVim" alone is not the primary or standard way to describe Copilot interaction, as it's more about code suggestions than chat. This is the closest option but not perfectly precise.Partially correct.
* C. From a watch window in an IDE debug sessionThe "watch window" in an IDE is used during debugging to monitor variable values, not to interact with GitHub Copilot. Copilot provides suggestions while coding, not specifically in debug sessions or watch windows.Incorrect.
* D. From a web browser athttps://github.copilot.comThere is no such URL as "https://github.copilot.
com" dedicated to interacting with GitHub Copilot. Copilot is accessed via GitHub's authentication and integrated into editors/IDEs, not through a standalone web browser interface. Information about Copilot is available on GitHub's official site (e.g.,https://github.com/features/copilot), but interaction happens in the coding environment.Incorrect.

62. Frage
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

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

Antwort: C

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

63. Frage
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

A. It primarily uses search results from Bing to generate responses.
B. It uses user-provided documentation exclusively to generate responses.
C. It primarily relies on the model's training data to generate responses.
D. It combines its training data set, code in user repositories, and external sources like Bing to generate responses.

Antwort: D

Begründung:
GitHub Copilot Chat combines its training data, code from user repositories, and external sources like Bing to generate comprehensive and relevant responses to coding questions.

64. Frage
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GitHub-Copilot Prüfungsübungen & GitHub-Copilot Online Praxisprüfung

GitHub GitHub-Copilot Prüfungsplan:

Kostenlos GitHub-Copilot Dumps Torrent & GitHub-Copilot exams4sure pdf & GitHub GitHub-Copilot pdf vce

GitHub CopilotCertification Exam GitHub-Copilot Prüfungsfragen mit Lösungen (Q59-Q64):

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