Practice Free GH-500 GitHub Advanced Security Exam Exam Questions Answers With Explanation

GitHub allows organization owners and repository administrators to grant additional people or teams access to repository security alerts, including Dependabot alerts, but the recipients must already have write access to that repository. Users with write, maintain, or admin access can normally view relevant repository security alerts, while additional alert-access assignments are also constrained by repository access. A team that merely has Read access to another repository does not satisfy this requirement. Similarly, an outside collaborator with only Read access or an enterprise member who has not been assigned access to the repository cannot be granted the alert access described by the question. Therefore, members of a team that has Write access to the affected repository meet GitHub's permission requirement.

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.

When a CodeQL workflow uses a language matrix, the autobuild step attempts to build each compiled language listed in that matrix. This differs from a workflow without a language matrix, where autobuild attempts to build the supported compiled language with the greatest number of source files in the repository. A matrix is therefore useful when a repository contains multiple languages that require separate CodeQL analysis jobs. GitHub's current CodeQL build documentation explicitly describes this matrix behavior. The analysis may use newer build modes such as none for some compiled languages, depending on language and configuration, but when the workflow specifically uses autobuild with a language matrix, each compiled language represented by that matrix is processed independently. Therefore, option D correctly describes the behavior.

You must enable secret scanning before defining custom patterns. Secret scanning provides the foundational capability for detecting exposed credentials, and custom patterns build upon that by allowing organizations to specify their own regex-based patterns for secrets unique to their environment.

Without enabling secret scanning, GitHub will not process or apply custom patterns.

Query suite definitions in CodeQL are stored using the .qls file extension. A query suite defines a collection of queries to be run during an analysis and allows for grouping them based on categories like language, security relevance, or custom filters.

In contrast:

.ql files are individual queries.

.qll files are libraries used by .ql queries.

.yml is used for workflows, not query suites.

Comprehensive and Detailed Explanation:

A CodeQL database contains a representation of your codebase, including the build of the code and extracted data. This database is used to run CodeQL queries to analyze your code for potential vulnerabilities and errors.?

GitHub Docs

GitHub automatically closes a code scanning alert when the vulnerable code is fixed in the same branch where the alert was generated , usually via a commit inside a pull request . Simply clicking or triaging an alert does not resolve it. The alert is re-evaluated after each push to the branch, and if the issue no longer exists, it is marked as resolved.

Dependency review runs as part of a pull request and shows which dependencies are being added, removed, or changed — and highlights vulnerabilities associated with any added packages.

It works in real-time and is specifically designed for use during pull request workflows.

The dependency graph is an overview, Dependabot alerts notify post-merge, and the Security tab shows the aggregated alert list.

Secret scanning for a private repository is enabled through the repository's security configuration/settings, currently located under Settings ? Security and quality ? Advanced Security. In current GitHub terminology, enabling Secret Protection enables secret scanning alerts for an eligible private or internal repository. Repository rulesets control policies such as branch protection, required checks, and merge conditions; they are not the primary mechanism for enabling secret scanning. GitHub also does not use a secret.yml file to activate the feature. Code scanning default setup configures CodeQL analysis and is separate from secret detection. Organization owners can additionally enable Secret Protection and secret-scanning capabilities at scale by applying security configurations to repositories. Consequently, the code security or Advanced Security settings area is the correct location, making A the correct answer.

Dependency review and secret scanning are capabilities associated with GitHub Advanced Security. In GitHub's current product structure, dependency review is included with GitHub Code Security, while secret scanning is a central capability of GitHub Secret Protection. Both products are components of the broader GitHub Advanced Security offering, and legacy GHAS licenses can include the combined capabilities. The dependency graph is an important supply-chain feature and provides the underlying dependency inventory, but it is broadly available beyond the licensed GHAS feature set and is enabled by default for public repositories. A repository security policy, normally provided through SECURITY.md, is also a general repository capability rather than one of the licensed Advanced Security features being tested. Therefore, dependency review and secret scanning are the correct selections.

GitHub states that its repository security advisory form is a standardized form that matches the Common Vulnerabilities and Exposures (CVE) description format. GitHub Security Advisories build on the CVE ecosystem, and GitHub itself is a CVE Numbering Authority capable of assigning CVE identification numbers for eligible vulnerabilities. The advisory form captures structured information such as the vulnerability description, affected products, vulnerable and patched versions, severity, CWEs, references, and CVE information. A CNA is an organization authorized to assign CVEs rather than a separate advisory-description format. Dependabot alerts are generated for vulnerable dependencies and are unrelated to the structure of the security advisory form. Therefore, the CVE description format is the correct choice.

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.?

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.

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.

Under the GitHub Actions minute-multiplier model tested by this question, jobs executed on GitHub-hosted Windows runners consume included minutes at twice the rate of equivalent Linux-runner jobs. Linux has a multiplier of 1, while Windows has a multiplier of 2; historically macOS used a substantially higher multiplier. Because CodeQL advanced setup can execute as a GitHub Actions workflow, the operating system selected with runs-on affects Actions consumption in the same way as other GitHub-hosted workflows. GitHub's newer billing documentation increasingly expresses runner usage through operating-system-specific per-minute pricing rather than only multiplier terminology, but the exam question specifically tests the established Windows-versus-Linux minute multiplier. Therefore, the expected answer is 2x higher.

The Allow for all organizations policy permits repository administrators throughout organizations owned by the enterprise to enable applicable Advanced Security capabilities on their repositories. GitHub enterprise policy can determine whether repository administrators are allowed to enable GitHub Secret Protection, GitHub Code Security, or legacy GitHub Advanced Security features. Selecting an option limited to chosen organizations would restrict availability rather than permit it enterprise-wide. A prohibition such as Never allow would prevent repository administrators from enabling the feature, while No policy does not explicitly establish the enterprise-wide permission requested. GitHub's current documentation describes this policy as controlling availability across all organizations or specified organizations, with organization owners and security managers retaining broader security-management capabilities. Therefore, B matches the stated requirement to allow repository administrators throughout all enterprise organizations.

For the secret scanning alerts list view specifically, Admin is the correct choice among the supplied roles. GitHub distinguishes between being able to access information about a particular secret associated with your own commits and having access to the repository-wide secret scanning alert list. GitHub's repository-role documentation notes that users with Write or Maintain roles can directly view secret-scanning information associated with their own commits but cannot access the full alert-list view under the standard role model. Repository administrators have the broader security visibility needed for the complete list. Read access is insufficient, while “repository owner” is not a standard repository role for organization-owned repositories. Additional users can also receive alert access when explicitly granted it by an organization owner or repository administrator.

When multiple instances of the same secret value appear in a repository, only one alert is generated. Secret scanning works by identifying exposed credentials and token patterns, and it groups identical matches into a single alert to reduce noise and avoid duplication.

This makes triaging easier and helps teams focus on remediating the actual exposed credential rather than reviewing multiple redundant alerts.

The security-extended query suite includes additional CodeQL queries that detect lower severity issues than those in the default security-and-quality suite.

It’s often used when projects want broader visibility into code hygiene and potential weak spots beyond critical vulnerabilities.

The other options listed are paths to language packs , not query suites themselves.

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.

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.

Dependabot alerts can identify vulnerable direct dependencies declared in a manifest and vulnerable indirect or transitive dependencies when GitHub can determine their versions from a lockfile. GitHub's dependency graph extracts dependency information from supported manifest and lock files and compares identified package versions against security advisories in the GitHub Advisory Database. Direct dependencies explicitly declared in manifests therefore qualify for vulnerability detection. Transitive dependencies recorded with resolvable versions in lockfiles can also generate alerts. A “loose” dependency declaration may not provide GitHub with a sufficiently specific installed version to establish that the project actually uses a vulnerable release, while a particular time such as 08:00 UTC has nothing to do with whether a dependency qualifies for an alert. Thus, A and C are correct.

To create or modify a code scanning workflow file (typically under .github/workflows/codeql-analysis.yml), you must have Write access to the repository.

Write permission allows you to commit the workflow file, which is required to run or configure code scanning using GitHub Actions.

Dependabot alerts utilize standardized identifiers to describe vulnerabilities:?

CVE (Common Vulnerabilities and Exposures): A widely recognized identifier for publicly known cybersecurity vulnerabilities.?

CWE (Common Weakness Enumeration): A category system for software weaknesses and vulnerabilities.?

These identifiers help developers understand the nature of the vulnerabilities and facilitate the search for more information or remediation strategies.?

GitHub Actions supports path filters for events such as push and pull_request. The paths: key allows a workflow to run only when changed files match one or more specified path patterns. For example, a workflow could use paths: - 'src/**' so that a code scanning job runs when files under the src directory are changed. The related paths-ignore: key performs the opposite function by excluding matching paths. Characters such as ** are glob-pattern components placed beneath paths:; they are not replacements for the paths keyword itself. Therefore, because the workflow must conditionally run when files in a particular directory change, line 3 should contain paths: followed by the applicable directory pattern.

GitHub requires you to perform a dry run before publishing a new secret scanning custom pattern. After defining the pattern and providing a sample test string, you select Save and dry run. GitHub searches the relevant repository data without creating secret scanning alerts and returns a sample of matching results. You should review these results for false positives, adjust the regular expression or additional match requirements if necessary, and repeat the dry run until the pattern behaves as intended. Only after a successful dry run and review should you publish the custom pattern. Push protection is optional and is enabled after the pattern has been published; GitHub explicitly notes that the option is not available until the dry run succeeds and the pattern is published.

The Security tab in a GitHub repository provides a central location for viewing security-related information, especially when GitHub Advanced Security is enabled. The following can be accessed:

Number of alerts related to:

Code scanning

Secret scanning

Dependency (Dependabot) alerts

Summary and visibility into open, closed, and dismissed security issues.

It does not show 2FA options, access control settings, or configuration panels for GHAS itself. Those belong to account or organization-level settings.

Secret scanning is a feature provided by GitHub that scans the contents of your GitHub repositories for known types of secrets, such as API keys and tokens. It operates within the GitHub environment and does not scan external systems, services, or repositories outside of GitHub. Its primary function is to prevent the accidental exposure of sensitive information within your GitHub-hosted code.?

Comprehensive and Detailed Explanation:

Dependency review is triggered by specific events in GitHub workflows:?

pull_request: When a pull request is opened, synchronized, or reopened, GitHub can analyze the changes in dependencies and provide a dependency review.?

workflow_dispatch: This manual trigger allows users to initiate workflows, including those that perform dependency reviews.?

The trigger and commit options are not recognized GitHub Actions events and would not initiate a dependency review.?

The GitHub Code Scanning API includes endpoints that allow you to:

List alerts for a repository (filtered by branch, state, or tool) — useful for monitoring security over time.

Get a single alert by its ID to inspect its metadata, status, and locations in the code.

However, GitHub does not support modifying the severity of alerts via API — severity is defined by the scanning tool (e.g., CodeQL). Likewise, alerts cannot be deleted via the API; they are resolved by fixing the code or dismissing them manually.

For GitHub Enterprise Server, secret scanning and code scanning are Advanced Security capabilities that require instance-level availability and configuration before organizations and repositories can use them. GitHub's GHES administration documentation identifies code scanning and secret scanning as security products that site administrators enable and configure for the appliance. Dependency review operates through repository dependency data and GitHub Actions rather than being one of the corresponding appliance-level Management Console options described by this question. Dependabot version updates are also a separate Dependabot capability for automatically keeping dependencies current and are not the requested GHAS Management Console security option. GitHub's newer licensing terminology may refer to these capabilities through GitHub Secret Protection and GitHub Code Security, but the functional distinction tested by the question remains the same.

A valid Dependabot configuration requires the top-level version and updates keys. The configuration currently uses version: 2, which identifies the Dependabot configuration syntax. The updates section contains one or more configuration entries describing package ecosystems that Dependabot should monitor. Within each update entry, additional required settings include package-ecosystem, directory or directories, and schedule.interval. The top-level registries key is optional and is used when Dependabot needs authentication information for private registries. assignees is also optional and controls which users are automatically assigned to Dependabot-created pull requests. Therefore, although several other properties may appear in a practical configuration file, only version and updates are mandatory top-level keys among the choices provided.