Pass4TestはMicrosoft GH-500試験の実践訓練を提供する

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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	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 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	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 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 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.

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Microsoft GitHub Advanced Security 認定 GH-500 試験問題 (Q38-Q43):

質問 # 38
Using advanced setup, which code scanning configuration would help detect vulnerabilities before they are added to a shared branch?

A. on:
pull_request:
B. on:
schedule:
C. on:
issues:
D. on:
workflow_dispatch:

正解：A

解説：
Configuring CodeQL analysis to run on the pull_request event allows vulnerabilities to be identified before proposed changes are merged into a shared or protected branch. GitHub's recommended CodeQL advanced setup commonly analyzes code when a pull request targets the default branch. Any newly introduced security findings can then appear as pull-request annotations or checks, allowing developers to remediate them before merging. A scheduled workflow scans periodically and is useful for discovering newly recognized vulnerabilities in unchanged code, but it does not specifically provide a pre-merge gate. workflow_dispatch requires manual execution, while the issues event is unrelated to source-code changes. Therefore, pull_request provides the appropriate event trigger for detecting newly introduced vulnerabilities before code reaches the shared branch.

質問 # 39
What is the first step you should take to fix an alert in secret scanning?

A. Archive the repository.
B. Revoke the alert if the secret is still valid.
C. Update your dependencies.
D. Remove the secret in a commit to the main branch.

正解：B

解説：
Resolving alerts from secret scanning
After reviewing the details of a secret scanning alert, you should fix and then close the alert.
Fixing alerts
Once a secret has been committed to a repository, you should consider the secret compromised.
GitHub recommends the following actions for compromised secrets:
Verify that the secret committed to GitHub is valid.
Review and update any services that use the old token. For GitHub personal access tokens, delete the compromised token and create a new token.
Depending on the secret provider, check your security logs for any unauthorized activity.

質問 # 40
Assuming that no custom patterns are configured, what type of secret is detected by secret scanning?

A. Private keys
B. Usernames
C. Personally Identifiable Information (PII)
D. Sealed boxes

正解：A

解説：
GitHub secret scanning is designed to identify credentials and other sensitive values that match supported secret patterns. Among the options listed, private keys are the supported secret type. GitHub classifies private keys such as RSA, OpenSSH, EC, and PGP private keys as generic secret patterns. These are distinct from organization-specific custom patterns, which administrators create by defining their own regular expressions.
Usernames and general PII are not treated as standard secret-scanning credential patterns, while "sealed boxes" are not a supported secret category. In current GitHub terminology, generic-pattern detection is separately configurable, so it may need to be enabled for the repository. Nevertheless, of the choices presented, private keys are the valid secret-scanning type.

質問 # 41
You are viewing a code scanning alert. What detail is included in the alert?

A. The GitHub username of anyone who has Read access to the repository
B. The secret checked into the repository
C. The line of code that triggered the alert
D. The Common Weakness Enumeration (CWE) submission date

正解：C

解説：
A code scanning alert provides information that helps a developer identify and understand the security problem detected by the analysis tool. GitHub specifically displays the line of code that triggered the alert, together with properties such as severity, security severity, the nature of the problem, and when the issue was introduced. CodeQL-generated alerts may additionally contain remediation guidance and data-flow information. Secret values are handled through secret scanning rather than being shown as the defining detail of a code scanning alert. GitHub also does not list all users with repository Read access within an individual alert, and a CWE submission date is not the primary alert-location information. The source-code location is therefore the correct answer.

質問 # 42
Which of the following options would close a Dependabot alert?

A. Creating a pull request to resolve the vulnerability that will be approved and merged
B. Viewing the Dependabot alert on the Dependabot alerts tab of your repository
C. Viewing the dependency graph
D. Leaving the repository in its current state

正解：A

解説：
A Dependabot alert is only marked as resolved when the related vulnerability is no longer present in your code - specifically after you merge a pull request that updates the vulnerable dependency.
Simply viewing alerts or graphs does not affect their status. Ignoring the alert by leaving the repo unchanged keeps the vulnerability active and unresolved.
: GitHub Docs - Managing Dependabot Security Updates

質問 # 43
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P.S.Pass4TestがGoogle Driveで共有している無料の2026 Microsoft GH-500ダンプ：https://drive.google.com/open?id=1FSATqMropayhswLDZdQgQHgwGE_Dhgdo