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100%合格率-有効的なGH-500日本語版試験解答試験-試験の準備方法GH-500関連資料
GH-500の実際のテストのオンラインバージョンを使用すると非常に便利です。オンライン版の利便性を実感すれば、多くの問題の解決に役立ちます。一方で、オンライン版は機器に限定されません。 GH-500テスト準備のオンラインバージョンは、電話、コンピューターなどを含むすべての電子機器に適用されます。一方、GH-500学習教材のオンライン版を使用することに決めた場合、WLANネットワークがないことを心配する必要はありません。
世界経済の急速な発展とさまざまな国との頻繁な接触により、すべての人々にとって良い仕事を探すことはますます難しくなっています。良い仕事を探すには、GH-500認定を取得することが非常に必要です。労働市場での競争上の優位性を高め、他の求職者と差別化する必要があります。また、GH-500試験の質問は、最小限の時間と労力でGH-500試験に合格できるように特別に設計されています。 GH-500実践ガイドを購入してください。
効果的なGH-500日本語版試験解答試験-試験の準備方法-素敵なGH-500関連資料
CertJukenのGH-500スタディガイドには、さまざまなニーズを満たすことができる3つの形式があります。PDFバージョン、ソフトウェアバージョン、オンラインバージョンです。 PDFバージョンを選択した場合は、GH-500学習資料をダウンロードして、どこでも学習できるように印刷できます。新しいバージョンがリリースされた場合は、電子メールボックスへの新しいリンクが送信され、再度ダウンロードできます。ソフトウェアバージョンのGH-500試験教材を使用すると、実際のGitHub Advanced Security試験と同じような環境で練習できます。また、GH-500実践ガイドのAPPバージョンは、あらゆる種類の電子機器で利用できます。
Microsoft GH-500 認定試験の出題範囲:
トピック
出題範囲
トピック 1
- Describe GitHub Advanced Security best practices, results, and how to take corrective measures: This section evaluates skills of Security Managers and Development Team Leads in effectively handling GHAS results and applying best practices. It includes using Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) identifiers to describe alerts and suggest remediation, decision-making processes for closing or dismissing alerts including documentation and data-based decisions, understanding default CodeQL query suites, how CodeQL analyzes compiled versus interpreted languages, the roles and responsibilities of development and security teams in workflows, adjusting severity thresholds for code scanning pull request status checks, prioritizing secret scanning remediation with filters, enforcing CodeQL and Dependency Review workflows via repository rulesets, and configuring code scanning, secret scanning, and dependency analysis to detect and remediate vulnerabilities earlier in the development lifecycle, such as during pull requests or by enabling push protection.
トピック 2
- Configure and use Code Scanning with CodeQL: This domain measures skills of Application Security Analysts and DevSecOps Engineers in code scanning using both CodeQL and third-party tools. It covers enabling code scanning, the role of code scanning in the development lifecycle, differences between enabling CodeQL versus third-party analysis, implementing CodeQL in GitHub Actions workflows versus other CI tools, uploading SARIF results, configuring workflow frequency and triggering events, editing workflow templates for active repositories, viewing CodeQL scan results, troubleshooting workflow failures and customizing configurations, analyzing data flows through code, interpreting code scanning alerts with linked documentation, deciding when to dismiss alerts, understanding CodeQL limitations related to compilation and language support, and defining SARIF categories.
トピック 3
- Configure and use secret scanning: This domain targets DevOps Engineers and Security Analysts with the skills to configure and manage secret scanning. It includes understanding what secret scanning is and its push protection capability to prevent secret leaks. Candidates differentiate secret scanning availability in public versus private repositories, enable scanning in private repos, and learn how to respond appropriately to alerts. The domain covers alert generation criteria for secrets, user role-based alert visibility and notification, customizing default scanning behavior, assigning alert recipients beyond admins, excluding files from scans, and enabling custom secret scanning within repositories.
トピック 4
- Describe the GHAS security features and functionality: This section of the exam measures skills of Security Engineers and Software Developers and covers understanding the role of GitHub Advanced Security (GHAS) features within the overall security ecosystem. Candidates learn to differentiate security features available automatically for open source projects versus those unlocked when GHAS is paired with GitHub Enterprise Cloud (GHEC) or GitHub Enterprise Server (GHES). The domain includes knowledge of Security Overview dashboards, the distinctions between secret scanning and code scanning, and how secret scanning, code scanning, and Dependabot work together to secure the software development lifecycle. It also covers scenarios contrasting isolated security reviews with integrated security throughout the development lifecycle, how vulnerable dependencies are detected using manifests and vulnerability databases, appropriate responses to alerts, the risks of ignoring alerts, developer responsibilities for alerts, access management for viewing alerts, and the placement of Dependabot alerts in the development process.
トピック 5
- Configure and use Dependabot and Dependency Review: Focused on Software Engineers and Vulnerability Management Specialists, this section describes tools for managing vulnerabilities in dependencies. Candidates learn about the dependency graph and how it is generated, the concept and format of the Software Bill of Materials (SBOM), definitions of dependency vulnerabilities, Dependabot alerts and security updates, and Dependency Review functionality. It covers how alerts are generated based on the dependency graph and GitHub Advisory Database, differences between Dependabot and Dependency Review, enabling and configuring these tools in private repositories and organizations, default alert settings, required permissions, creating Dependabot configuration files and rules to auto-dismiss alerts, setting up Dependency Review workflows including license checks and severity thresholds, configuring notifications, identifying vulnerabilities from alerts and pull requests, enabling security updates, and taking remediation actions including testing and merging pull requests.
Microsoft GitHub Advanced Security 認定 GH-500 試験問題 (Q37-Q42):
質問 # 37
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?
- A. Push protection
- B. Secret validation
- C. Custom pattern dry runs
- D. Non-provider patterns
正解:B
解説:
Secret validation checks whether a secret found in your repository is still valid and active with the issuing provider (e.g., AWS, GitHub, Stripe). If a secret is confirmed to be active, the alert is marked as verified, which means it's considered a high-priority issue because it presents an immediate security risk.
This helps teams respond faster to valid, exploitable secrets rather than wasting time on expired or fake tokens.
質問 # 38
What is required to trigger code scanning on a specified branch?
- A. The repository must be private.
- B. The workflow file must exist in that branch.
- C. Developers must actively maintain the repository.
- D. Secret scanning must be enabled on the repository.
正解:B
解説:
Comprehensive and Detailed Explanation:
For code scanning to be triggered on a specific branch, the branch must contain the appropriate workflow file, typically located in the .github/workflows directory. This YAML file defines the code scanning configuration and specifies the events that trigger the scan (e.g., push, pull_request).
Without the workflow file in the branch, GitHub Actions will not execute the code scanning process for that branch. The repository's visibility (private or public), the status of secret scanning, or the activity level of developers do not directly influence the triggering of code scanning.
質問 # 39
As a repository owner, you do not want to run a GitHub Actions workflow when changes are made to any .txt or markdown files. How would you adjust the event trigger for a pull request that targets the main branch? (Each answer presents part of the solution. Choose three.) on:
pull_request:
branches: [main]
- A. - '/*.txt'
- B. - '/*.md'
- C. - 'docs/*.md'
- D. paths-ignore:
- E. paths:
正解:A、B、D
解説:
To exclude .txt and .md files from triggering workflows on pull requests to the main branch:
on: defines the event (e.g., pull_request)
pull_request: is the trigger
paths-ignore: is the key used to ignore file patterns
Example YAML:
yaml
CopyEdit
on:
pull_request:
branches:
- main
paths-ignore:
- '*.md'
- '*.txt'
Using paths: would include only specific files instead - not exclude. paths-ignore: is correct here.
質問 # 40
What should you do after receiving an alert about a dependency added in a pull request?
- A. Disable Dependabot alerts for all repositories owned by your organization
- B. Fork the branch and deploy the new fork
- C. Deploy the code to your default branch
- D. Update the vulnerable dependencies before the branch is merged
正解:D
解説:
If an alert is raised on a pull request dependency, best practice is to update the dependency to a secure version before merging the PR. This prevents the vulnerable version from entering the main codebase.
Merging or deploying the PR without fixing the issue exposes your production environment to known risks.
質問 # 41
Which details do you have to provide to create a custom pattern for secret scanning? (Each answer presents part of the solution. Choose two.)
- A. The secret format
- B. Additional match requirements for the secret format
- C. A list of repositories to scan
- D. The name of the pattern
正解:A、D
解説:
When defining a custom pattern for secret scanning, two key fields are required:
Name of the pattern: A unique label to identify the pattern
Secret format: A regular expression that defines what the secret looks like (e.g., token format) You can optionally specify additional match requirements (like required context keywords), but they're not mandatory. Listing repositories is also not part of the required fields during pattern creation.
質問 # 42
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