GH-500 Microsoft GitHub Advanced Security Exam Free Practice Exam Questions (2026 Updated)

The first step when you receive a secret scanning alert is to revoke the secret if it is still valid. This ensures the secret can no longer be used maliciously. Only after revoking it should you proceed to remove it from the code history and apply other mitigation steps.

Simply deleting the secret from the code does not remove the risk if it hasn’t been revoked — especially since it may already be exposed in commit history.

Under GitHub's current documented behavior, the minimum repository permission that can bypass ordinary repository push protection is Write, making B correct. GitHub states that, when delegated bypass is not enabled, a contributor with write access can bypass a push-protection block by providing an allowed reason. The bypass is recorded, and repository-level push protection can generate a corresponding alert and audit-log entry. The PDF marks Admin, which reflects older or more restrictive behavior and is no longer the best answer under current GitHub documentation. Organizations can also enable delegated bypass, which changes the model by requiring contributors without bypass privileges to request approval from designated reviewers. Organization owners, security managers, or specifically authorized roles can then manage those requests. For the default non-delegated model, Write is sufficient.

GitHub enables the dependency graph by default for public repositories. The graph analyzes supported manifest and lock files and identifies dependencies declared in those files. When a dependency is added or changed in a supported manifest on the repository's default branch, GitHub updates the dependency graph automatically. Private repositories can also use the dependency graph, but the feature must be enabled unless an organization or enterprise configuration enables it automatically. Forking a repository does not itself constitute the dependency declaration that this question describes. Therefore, under default settings, adding a new dependency to a manifest in a public repository is the scenario that causes GitHub's dependency graph to identify and represent that dependency.

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.​

CodeQL query metadata uses the @kind property to identify the type of result a query produces. For a standard or simple alert, the appropriate metadata value is @kind problem. A path-problem query produces an alert accompanied by a sequence of code locations, which is typically used for data-flow or taint-tracking results. @kind diagnostic is intended primarily for extractor troubleshooting information, while @kind metric is used for summary or measurement-oriented results and normally works with corresponding summary metadata. Correctly defining the query kind allows CodeQL and GitHub code scanning to interpret and display query results appropriately. Because the question asks specifically for a simple alert rather than a path-based, diagnostic, or metric result, @kind problem is correct.

When you identify that a code scanning alert is a false positive—such as when your code uses a custom sanitization method not recognized by the analysis—you should dismiss the alert with the reason "false positive." This action helps improve the accuracy of future analyses and maintains the relevance of your security alerts.​

As per GitHub's documentation:​

"If you dismiss a CodeQL alert as a false positive result, for example because the code uses a sanitization library that isn't supported, consider contributing to the CodeQL repository and improving the analysis."​

By dismissing the alert appropriately, you ensure that your codebase's security alerts remain actionable and relevant.

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.

Known vulnerable dependencies detected in a repository are presented as Dependabot alerts. GitHub uses the dependency graph to determine which packages and versions the repository depends on and compares that information with vulnerability data from the GitHub Advisory Database. When a match is found, an alert appears in the repository's Security and quality area under Dependabot vulnerabilities. Each alert can provide the affected dependency, vulnerability details, severity, the affected manifest or lockfile, and a secure version when one is available. Secret scanning alerts relate to exposed credentials, while code scanning alerts represent vulnerabilities or coding errors in source code. Security advisories are vulnerability records and disclosure mechanisms rather than the repository-specific list of vulnerable dependencies.

All results from CodeQL analysis appear under the repository’s code scanning alerts tab. This section is part of the Security tab and provides a list of all current, fixed, and dismissed alerts found by CodeQL.

A CodeQL database is used internally during scanning but does not display results. Query packs contain rules, not results. Security advisories are for published vulnerabilities, not per-repo findings.

Code scanning is a static analysis feature that examines your source code to identify security vulnerabilities and coding errors . It runs either on every push, pull request, or a scheduled time depending on the workflow configuration.

It does not automatically contact maintainers, scan full Git history, or block pushes unless explicitly configured to do so.

If autobuild fails (which attempts to automatically detect how to build your project), you should disable it in your workflow and replace it with explicit build commands , using steps like run: make or run: ./gradlew build.

This ensures CodeQL can still extract and analyze the code correctly.

When dealing with a data flow issue in a code scanning alert, clicking on "Show paths" provides a detailed view of the data's journey through the code. This includes the source of the data, the path it takes, and where it ends up (the sink). This information is crucial for understanding how untrusted data might reach sensitive parts of your application and helps in identifying where to implement proper validation or sanitization.​

The dependency graph in a repository is built by parsing manifest and lock files (like package.json, pom.xml, requirements.txt). It helps GitHub detect dependencies and cross-reference them with known vulnerability databases for alerting.

It is specific to each repository and does not show org-wide or cross-repo summaries.

Requesting a CVE ID for a security advisory in a GitHub repository requires Admin permissions. This level of access is necessary because it involves managing sensitive security information and coordinating with external entities to assign a CVE, which is a formal process that can impact the public perception and security posture of the project.​

GitHub Advanced Security features can be managed at both the organization and repository levels. Organization owners can control security configurations and Advanced Security access across repositories from the organization's Settings area. At the repository level, administrators can manage eligible security and analysis features through the repository's Settings, subject to any policies or security configurations enforced by the organization or enterprise. Current GitHub terminology separates Advanced Security into products such as GitHub Secret Protection and GitHub Code Security, but the same management hierarchy applies. The organization's Repository permissions area manages general repository access permissions rather than feature licensing or enablement, while enterprise settings primarily establish higher-level policies rather than directly serving as the normal per-repository control described here.

After generating an alert for a vulnerable dependency, Dependabot automatically attempts to create a pull request to upgrade that dependency to the minimum required secure version —if a fix is available and compatible with your project.

This automated PR helps teams fix vulnerabilities quickly with minimal manual intervention. You can also configure update behaviors using dependabot.yml, but in the default state, PR creation is automatic.