GitHub GitHub-Copilotテストエンジン問題集トレーニングには68問あります [Q22-Q39]

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GitHub GitHub-Copilotテストエンジン問題集トレーニングには68問あります

GitHub-Copilot問題一発合格させる問題集はGitHub Certification認定


GitHub GitHub-Copilot 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • GitHub Copilot の仕組みとデータの処理:このセクションでは、データセキュリティスペシャリストと DevOps エンジニアのスキルを評価し、GitHub Copilot がどのようにデータを処理し、コード提案を処理し、プライバシーに関する懸念事項を管理するかを網羅します。Copilot の提案のためのデータパイプライン、コンテキストの収集方法、AI モデルによるプロンプトの処理方法について解説します。また、AI 生成コードの限界、履歴データが提案に与える影響、プロンプト作成の役割についても説明します。プロンプトの有効性を高め、AI 生成の応答を最適化するためのベストプラクティスも含まれています。
トピック 2
  • プライバシーの基礎とコンテキスト除外:このセクションでは、サイバーセキュリティスペシャリストとコンプライアンス担当者のスキルを評価し、GitHub Copilotにおけるプライバシー保護とコンテンツ除外設定について解説します。Copilotがどのようにセキュリティ脆弱性を特定し、最適化を提案し、安全なコーディングプラクティスを適用するかを解説します。また、コンテンツの所有権、データフィルタリングメカニズム、除外設定についても詳細に説明します。最後に、コンテキスト除外を管理し、組織のセキュリティポリシーへのコンプライアンスを確保するためのトラブルシューティングガイドラインを紹介します。
トピック 3
  • AIを活用した開発者のユースケース:この試験セクションでは、フルスタック開発者とクラウドエンジニアのスキルを評価し、新しいプログラミング言語の学習、デバッグ、ドキュメント作成、コードのリファクタリングなど、様々なタスクにおいてAIがどのように開発者の生産性を向上させるかを検証します。GitHub Copilotがソフトウェア開発ライフサイクル(SDLC)とどのように統合され、レガシーアプリケーションのモダナイゼーションでどのような役割を果たすかについて解説します。また、パーソナライズされたレスポンス、サンプルデータの生成、ソフトウェア開発全体の効率向上におけるAIの活用についても重点的に取り上げます。
トピック 4
  • GitHub Copilot を使用したテスト:このセクションでは、QA エンジニアとテスト自動化スペシャリストのスキルを測定し、ユニットテスト、統合テスト、エッジケース検出などの AI 支援テスト手法を網羅します。GitHub Copilot が関連するアサーションや定型テストケースを提案することで、テストの有効性を向上させる仕組みを説明します。また、プライバシーに関する考慮事項、組織におけるコード提案の設定、GitHub Copilot のテスト機能の設定に関するベストプラクティスについても説明します。
トピック 5
  • プロンプトエンジニアリング:このセクションでは、AIエンジニアとソフトウェア開発者のスキルを評価し、高品質な出力を生成するための主要原則、手法、ベストプラクティスなど、プロンプトエンジニアリングの基礎を網羅します。ゼロショットプロンプティングやフューショットプロンプティングといった様々なプロンプティング戦略、コンテキストがAI生成応答に与える影響、そしてCopilotの動作を導く上での構造化プロンプトの役割について解説します。また、プロンプトのライフサイクルと、洗練された入力指示を通じてモデルのパフォーマンスを向上させる方法についても説明します。
トピック 6
  • GitHub Copilotのプランと機能:この試験セクションでは、ソフトウェアエンジニアとIT管理者のスキルを測定し、Individual、Business、Enterpriseエディションを含む様々なGitHub Copilotプランを網羅しています。IDEへのGitHub Copilotの統合について説明し、インラインチャット、複数の提案、例外処理などの主要機能について説明します。また、監査ログやAPI管理など、組織内でGitHub Copilotを管理するためのポリシーについても詳しく説明します。さらに、コード品質向上のためのナレッジベースやCopilot Chatの活用に関するベストプラクティスといった高度な機能についても重点的に取り上げます。

 

質問 # 22
What is a limitation of content exclusions?

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

正解:C

解説:
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.


質問 # 23
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

  • A. GitHub Copilot Enterprise
  • B. GitHub Copilot Individual
  • C. GitHub Copilot Business for non-GHE customers
  • D. GitHub Copilot Teams

正解:A

解説:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.


質問 # 24
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

  • A. By managing stakeholder communication and meetings.
  • B. By automatically generating detailed requirements documents.
  • C. By identifying and fixing potential requirement conflicts when using /help.
  • D. By providing templates and code snippets that help in documenting requirements.

正解:D

解説:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.


質問 # 25
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

  • A. Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.
  • B. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
  • C. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.
  • D. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.

正解:A、D

解説:
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.


質問 # 26
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

  • A. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
  • B. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
  • C. By running the gh copilot fix command.
  • D. By adding comments to your code and triggering a suggestion.
  • E. By using the "/fix" command in GitHub Copilot in-line chat.

正解:B、D

解説:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.


質問 # 27
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

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

正解:B


質問 # 28
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

  • A. GitHub Copilot Individual
  • B. GitHub Copilot Business for non-GHE Customers
  • C. GitHub Copilot Business
  • D. GitHub Copilot Enterprise
  • E. GitHub Copilot Teams

正解:A

解説:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.


質問 # 29
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

  • A. Free (not billed) for all open source projects
  • B. Monthly as a subscription
  • C. Monthly, as a metered service based on actual consumption
  • D. Annually as a subscription

正解:B、D

解説:
GitHub Copilot Individual is billed as a monthly or annual subscription.


質問 # 30
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)

  • A. User Engagement Data: Kept for Two Years
  • B. User Engagement Data: Kept for One Year
  • C. Prompts and Suggestions: Retained for 28 days
  • D. Prompts and Suggestions: Not retained

正解:A、C

解説:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.


質問 # 31
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

  • A. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
  • B. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
  • C. GitHub Copilot can independently verify the statistical significance of results.
  • D. GitHub Copilot can design new statistical methods that have not been previously documented.

正解:B

解説:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.


質問 # 32
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

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

正解:B

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


質問 # 33
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

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

正解:A

解説:
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.


質問 # 34
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

  • A. It replaces the need for developers in the software development process.
  • B. It increases productivity by automating repetitive coding tasks.
  • C. It reduces overhead by automating testing workflows.
  • D. It decreases software vulnerabilities from third party dependencies.

正解:B

解説:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.


質問 # 35
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

  • A. The explanations are dynamically updated based on user feedback.
  • B. The explanations are primarily derived from user-provided documentation.
  • C. GitHub Copilot Chat uses a static database for generating explanations.
  • D. Reviewing and validating the generated output for accuracy and completeness.

正解:D

解説:
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.


質問 # 36
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

  • A. GitHub Copilot duplication detection filter
  • B. GitHub Copilot access to Bing
  • C. GitHub Copilot Chat in the IDE
  • D. GitHub Copilot Chat in GitHub Mobile

正解:A

解説:
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.


質問 # 37
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

  • A. Running code suggestions through filters designed to detect public code
  • B. Analyzing the context and structure of the code being written
  • C. Reviewing the user's browsing history to identify public repositories
  • D. Comparing suggestions against public code using machine learning.

正解:A

解説:
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.


質問 # 38
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

  • A. "Refactor my application to meet the latest coding standards."
  • B. "Predict future coding trends and update my codebase accordingly."
  • C. "Show me how to improve the readability of this function."
  • D. "Suggest ways to enhance the maintainability of this code segment."

正解:C、D

解説:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.


質問 # 39
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GitHub-Copilot練習テストPDF試験材料:https://www.passtest.jp/GitHub/GitHub-Copilot-shiken.html

GitHub-Copilot解答の無料サンプルには全てリアル試験に基づいています:https://drive.google.com/open?id=1G2T3Y9x88xPP9tKrHoofi_Q-kJDe5pwN