GH-500試験復習赤本 & GH-500資格準備

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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	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.
トピック 2	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 3	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 4	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 5	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.

>> GH-500試験復習赤本 <<

Microsoft GitHub Advanced Security 認定 GH-500 試験問題 (Q107-Q112):

質問 # 107
When using CodeQL, how does extraction for compiled languages work?

A. By generating one language at a time
B. By monitoring the normal build process
C. By resolving dependencies to give an accurate representation of the codebase
D. By running directly on the source code

正解：B

解説：
For compiled languages, CodeQL performs extraction by monitoring the normal build process . This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.
This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.
: GitHub Docs - CodeQL for compiled languages

質問 # 108
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.
: GitHub Docs - Reviewing Dependabot Alerts in Pull Requests

質問 # 109
How would you build your code within the CodeQL analysis workflow? Each answer presents a complete solution. (Choose two.)

A. Upload compiled binaries.
B. Use CodeQL's autobuild action.
C. Use CodeQL's init action.
D. Ignore paths.
E. Use jobs.analyze.runs-on.
F. Implement custom build steps.

正解：B、C

解説：
[B] Build Modes
The CodeQL Action supports different build modes for analyzing the source code. The available build modes are:
none: The database will be created without building the source code. Available for all interpreted languages and some compiled languages.
*-> autobuild: The database will be created by attempting to automatically build the source code.
Available for all compiled languages.
manual: The database will be created by building the source code using a manually specified build command. To use this build mode, specify manual build steps in your workflow between the init and analyze steps. Available for all compiled languages.
[D] Actions
This repository contains several actions that enable you to analyze code in your repository using CodeQL and upload the analysis to GitHub Code Scanning. Actions in this repository also allow you to upload to GitHub analyses generated by any SARIF-producing SAST tool.
Actions for CodeQL analyses:
*-> init: Sets up CodeQL for analysis.
analyze: Finalizes the CodeQL database, runs the analysis, and uploads the results to Code Scanning.

質問 # 110
Which syntax in a query suite tells CodeQL to look for one or more specified .ql files?

A. query
B. qls
C. qlpack

正解：A

解説：
In a query suite (a .qls file), the **query** key is used to specify the paths to one or more .ql files that should be included in the suite.
Example:
- query: path/to/query.ql
qls is the file format.
qlpack is used for packaging queries, not in suite syntax.

質問 # 111
Which patterns are secret scanning validity checks available to?

A. Push protection patterns
B. Partner patterns
C. High entropy strings
D. Custom patterns

正解：B

解説：
Validity checks - where GitHub verifies if a secret is still active - are available for partner patterns only. These are secrets issued by GitHub's trusted partners (like AWS, Slack, etc.) and have APIs for GitHub to validate token activity status.
Custom patterns and high entropy patterns do not support automated validity checks.

質問 # 112
......

MicrosoftのGH-500認定試験に受かるのはあなたの技能を検証することだけでなく、あなたの専門知識を証明できて、上司は無駄にあなたを雇うことはしないことの証明書です。当面、IT業界でMicrosoftのGH-500認定試験の信頼できるソースが必要です。Pass4Testはとても良い選択で、GH-500の試験を最も短い時間に縮められますから、あなたの費用とエネルギーを節約することができます。それに、あなたに美しい未来を作ることに助けを差し上げられます。

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GH-500試験復習赤本 & GH-500資格準備

Microsoft GH-500 認定試験の出題範囲：

最新のGH-500試験復習赤本試験-試験の準備方法-100％合格率のGH-500資格準備

Microsoft GitHub Advanced Security 認定 GH-500 試験問題 (Q107-Q112):