GH-500 Exam Dumps - Microsoft GitHub Administrator Questions and Answers

In a CodeQL query suite, the query filename constraint matches the final path component—that is, the filename of the query file itself. GitHub distinguishes this from query path, which matches the path to the query relative to the enclosing CodeQL pack. The tags contain and tags contain all constraints operate on values from the query's @tags metadata rather than its filesystem path. tags contain requires one of the specified strings to match a tag component, while tags contain all requires all specified strings to be represented. Therefore, when the objective is specifically to filter queries according to the last component of their file path, query filename is the appropriate CodeQL query-suite constraint.

You should dismiss a code scanning alert if the flagged code is not a true security concern , such as:

Code in test files

Code paths that are unreachable or safe by design

False positives from the scanner

Fixing the code would automatically resolve the alert — not dismiss it. Dismissing is for valid exceptions or noise reduction.

If a secret is intentionally used in a test environment and poses no real-world security risk , you may close the alert with the reason "used in tests" . This helps reduce noise and clarify that the alert was reviewed and accepted as non-critical.

Just being in a test file isn't enough unless its purpose is purely for testing .

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.

Secrets committed and then deleted are still accessible in the repository’s Git history . To locate them, navigate to the Commits tab. GitHub's secret scanning can detect secrets in both current and historical commits, which is why remediation should also include revoking the secret , not just removing it from the latest code.

When a person's access to a private repository is removed, GitHub deletes that person's private forks belonging to the repository's network. This prevents the GitHub-hosted fork from remaining available after the user loses authorization to the upstream private repository. GitHub cannot, however, automatically erase local clones that the person previously downloaded to their own computers; the documentation explicitly states that local clones are retained. Removing one individual's access also does not necessarily revoke an entire team's access, because team permissions are managed separately. Nor does GitHub automatically delete confidential information that may have been copied outside the repository. GitHub therefore advises organizations to ensure that former collaborators appropriately dispose of confidential or proprietary information. The direct platform behavior described in the question is deletion of the user's private forks.

Before CodeQL can execute security queries, the source code must first be represented in a CodeQL database. Database creation extracts structured, relational information from the source code and, where applicable, observes or performs the build process required for the language being analyzed. Once the database exists, CodeQL can execute queries against it. The resulting query output is then interpreted using query metadata and can ultimately be converted to a format such as SARIF for presentation as code scanning alerts. Therefore, running queries, interpreting results, and converting results are later phases of analysis. GitHub's CodeQL documentation explicitly identifies creation of the CodeQL database as a prerequisite for analyzing source code with CodeQL queries, making preparation/database creation the correct first step.

When secret scanning is enabled on a private repository, GitHub performs a read-only analysis of the repository's contents. This includes the entire Git history and files to identify strings that match known secret patterns or custom-defined patterns.

GitHub does not alter the repository, and enabling secret scanning does not automatically enable code scanning or dependency review — each must be configured separately.

Current GitHub documentation requires Write access or higher to list, dismiss, and delete code scanning alerts. The PDF marks Triage, but that is not correct under the current repository-role permissions documented by GitHub. A user with Triage access can view code scanning alerts associated with pull requests, but Triage does not grant the broader permission required to manage the repository's code scanning alert list. Because Write is not one of the supplied choices, Maintain is the lowest listed role that exceeds Write and therefore has the required management capability. Read access does not permit alert management, and “View” is not one of GitHub's standard organization repository roles in this context. Accordingly, based on current official documentation, the technically correct option from the choices provided is B. Maintain.

Enabling the dependency graph allows GitHub to analyze supported manifest and lock files and build a representation of the repository's direct and transitive dependencies. GitHub receives read-only access to the dependency files, parses supported manifests when the feature is first enabled, and then updates the graph as repository content changes. Dependabot alerts and Dependabot security updates are separate capabilities: enabling the dependency graph alone does not automatically mean that security-update pull requests will be generated. Likewise, the dependency graph setting for one repository does not require administrators to manually enable dependency information for every newly created repository unless their organization's configuration requires that behavior. Therefore, the applicable result among the supplied options is that repository administrators can view the dependency information exposed by the dependency graph.