TAKE GitHub Administrator GH-500 PRACTICE QUESTIONS FOR AMAZING RESULTS [Q16-Q35]

TAKE GitHub Administrator GH-500 PRACTICE QUESTIONS FOR AMAZING RESULTS

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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.
Topic 4	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.
Topic 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.

 

NEW QUESTION # 16
What does code scanning do?

• A. It contacts maintainers to ask them to create security advisories if a vulnerability is found
• B. It analyzes a GitHub repository to find security vulnerabilities
• C. It prevents code pushes with vulnerabilities as a pre-receive hook
• D. It scans your entire Git history on branches present in your GitHub repository for any secrets

Answer: B

Explanation:
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.

NEW QUESTION # 17
Assuming that notification settings and Dependabot alert recipients have not been customized, which user account setting should you use to get an alert when a vulnerability is detected in one of your repositories?

• A. Enable all for Dependabot alerts
• B. Enable by default for new public repositories
• C. Enable all for Dependency graph
• D. Enable all in existing repositories

Answer: A

Explanation:
To ensure you're notified whenever a vulnerability is detected via Dependabot, you must enable alerts for Dependabot in your personal notification settings. This applies to both new and existing repositories. It ensures you get timely alerts about security vulnerabilities.
The dependency graph must be enabled for scanning, but does not send alerts itself.

NEW QUESTION # 18
When does Dependabot alert you of a vulnerability in your software development process?

• A. When a pull request adding a vulnerable dependency is opened
• B. As soon as a vulnerable dependency is detected
• C. When Dependabot opens a pull request to update a vulnerable dependency
• D. As soon as a pull request is opened by a contributor

Answer: B

Explanation:
Dependabot alerts are generated as soon as GitHub detects a known vulnerability in one of your dependencies. GitHub does this by analyzing your repository's dependency graph and matching it against vulnerabilities listed in the GitHub Advisory Database. Once a match is found, the system raises an alert automatically without waiting for a PR or manual action.
This allows organizations to proactively mitigate vulnerabilities as early as possible, based on real-time detection.

NEW QUESTION # 19
Which CodeQL query suite provides queries of lower severity than the default query suite?

• A. github/codeql/cpp/ql/src@main
• B. security-extended
• C. github/codeql-go/ql/src@main

Answer: B

Explanation:
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.

NEW QUESTION # 20
What combination of security measures helps to mitigate risks throughout the SDLC (Software Development Life Cycle)?

• A. Automatically raise pull requests, which reduces your exposure to older versions of dependencies
• B. Search for potential security vulnerabilities, detect secrets, and show the full impact of changes to dependencies
• C. Confidentially report security vulnerabilities and privately discuss and fix security vulnerabilities in your repository's code
• D. View alerts about dependencies that are known to contain security vulnerabilities

Answer: B

Explanation:
These three features provide a complete layer of defense:
Code scanning identifies security flaws in your source code
Secret scanning detects exposed credentials
Dependency review shows the impact of package changes during a pull request Together, they give developers actionable insight into risk and coverage throughout the SDLC.

NEW QUESTION # 21
You are a maintainer of a repository and Dependabot notifies you of a vulnerability. Where could the vulnerability have been disclosed? (Each answer presents part of the solution. Choose two.)

• A. In the dependency graph
• B. In the National Vulnerability Database
• C. In security advisories reported on GitHub
• D. In manifest and lock files

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
Dependabot alerts are generated based on data from various sources:
National Vulnerability Database (NVD): A comprehensive repository of known vulnerabilities, which GitHub integrates into its advisory database.
GitHub Docs
Security Advisories Reported on GitHub: GitHub allows maintainers and security researchers to report and discuss vulnerabilities, which are then included in the advisory database.
The dependency graph and manifest/lock files are tools used by GitHub to determine which dependencies are present in a repository but are not sources of vulnerability disclosures themselves.

NEW QUESTION # 22
In a private repository, what minimum requirements does GitHub need to generate a dependency graph? (Each answer presents part of the solution. Choose two.)

• A. Read-only access to all the repository's files
• B. Write access to the dependency manifest and lock files for an enterprise
• C. Dependency graph enabled at the organization level for all new private repositories
• D. Read-only access to the dependency manifest and lock files for a repository

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation:
To generate a dependency graph for a private repository, GitHub requires:
Dependency graph enabled: The repository must have the dependency graph feature enabled. This can be configured at the organization level to apply to all new private repositories.
Access to manifest and lock files: GitHub needs read-only access to the repository's dependency manifest and lock files (e.g., package.json, requirements.txt) to identify and map dependencies.

NEW QUESTION # 23
Where can you use CodeQL analysis for code scanning? (Each answer presents part of the solution. Choose two.)

• A. In an external continuous integration (CI) system
• B. In the Files changed tab of the pull request
• C. In a workflow
• D. In a third-party Git repository

Answer: A,C

Explanation:
In a workflow: GitHub Actions workflows are the most common place for CodeQL code scanning. The codeql-analysis.yml defines how the analysis runs and when it triggers.
In an external CI system: GitHub allows you to run CodeQL analysis outside of GitHub Actions. Once complete, the results can be uploaded using the upload-sarif action to make alerts visible in the repository.
You cannot run or trigger analysis from third-party repositories directly, and the Files changed tab in pull requests only shows diff - not analysis results.

NEW QUESTION # 24
Which of the following is the most complete method for Dependabot to find vulnerabilities in third-party dependencies?

• A. CodeQL analyzes the code and raises vulnerabilities in third-party dependencies
• B. A dependency graph is created, and Dependabot compares the graph to the GitHub Advisory database
• C. The build tool finds the vulnerable dependencies and calls the Dependabot API
• D. Dependabot reviews manifest files in the repository

Answer: B

Explanation:
Dependabot builds a dependency graph by analyzing package manifests and lockfiles in your repository. This graph includes both direct and transitive dependencies. It then compares this graph against the GitHub Advisory Database, which includes curated, security-reviewed advisories.
This method provides a comprehensive and automated way to discover all known vulnerabilities across your dependency tree.

NEW QUESTION # 25
Who can fix a code scanning alert on a private repository?

• A. Users who have the security manager role within the repository
• B. Users who have Write access to the repository
• C. Users who have the Triage role within the repository
• D. Users who have Read permissions within the repository

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
In private repositories, users with write access can fix code scanning alerts. They can do this by committing changes that address the issues identified by the code scanning tools. This level of access ensures that only trusted contributors can modify the code to resolve potential security vulnerabilities.
GitHub Docs
Users with read or triage roles do not have the necessary permissions to make code changes, and the security manager role is primarily focused on managing security settings rather than directly modifying code.
Reference:
GitHub Docs

NEW QUESTION # 26
If notification and alert recipients are not customized, which users receive notifications about new Dependabot alerts in an affected repository?

• A. Users with Admin privileges to the repository
• B. Users with Read permissions to the repository
• C. Users with Maintain privileges to the repository
• D. Users with Write permissions to the repository

Answer: D

Explanation:
By default, users with Write, Maintain, or Admin permissions will receive notifications for new Dependabot alerts. However, Write permission is the minimum level needed to be automatically notified. Users with only Read access do not receive alerts unless added explicitly.

NEW QUESTION # 27
As a developer with write access, you navigate to a code scanning alert in your repository. When will GitHub close this alert?

• A. After you find the code and click the alert within the pull request
• B. After you fix the code by committing within the pull request
• C. When you use data-flow analysis to find potential security issues in code
• D. After you triage the pull request containing the alert

Answer: B

Explanation:
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.

NEW QUESTION # 28
What were the long-term impacts of the Cultural Revolution on Chinese society?

• A. Admin
• B. Maintain
• C. Write
• D. Triage

Answer: A

Explanation:
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.

NEW QUESTION # 29
When configuring code scanning with CodeQL, what are your options for specifying additional queries? (Each answer presents part of the solution. Choose two.)

• A. Scope
• B. Queries
• C. github/codeql
• D. Packs

Answer: B,D

Explanation:
You can customize CodeQL scanning by including additional query packs or by specifying individual queries:
Packs: These are reusable collections of CodeQL queries bundled into a single package.
Queries: You can point to specific files or directories containing .ql queries to include in the analysis.
github/codeql refers to a pack by name but is not a method or field. Scope is not a valid field used for configuration in this context.

NEW QUESTION # 30
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?

• A. When you dismiss the Dependabot alert
• B. When the pull request checks are successful
• C. When Dependabot creates a pull request to update dependencies
• D. When you merge a pull request that contains a security update

Answer: D

Explanation:
A Dependabot alert is marked as resolved only after the related pull request is merged into the repository. This indicates that the vulnerable dependency has been officially replaced with a secure version in the active codebase.
Simply generating a PR or passing checks does not change the alert status; merging is the key step.

NEW QUESTION # 31
Which of the following statements most accurately describes push protection for secret scanning custom patterns?

• A. Push protection is enabled by default for new custom patterns.
• B. Push protection is not available for custom patterns.
• C. Push protection is an opt-in experience for each custom pattern.
• D. Push protection must be enabled for all, or none, of a repository's custom patterns.

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
Push protection for secret scanning custom patterns is an opt-in feature. This means that for each custom pattern defined in a repository, maintainers can choose to enable or disable push protection individually. This provides flexibility, allowing teams to enforce push protection on sensitive patterns while leaving it disabled for others.

NEW QUESTION # 32
Which security feature shows a vulnerable dependency in a pull request?

• A. Dependency review
• B. The repository's Security tab
• C. Dependency graph
• D. Dependabot alert

Answer: A

Explanation:
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.

NEW QUESTION # 33
How many alerts are created when two instances of the same secret value are in the same repository?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: B

Explanation:
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.

NEW QUESTION # 34
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?

• A. Enable Dependabot security updates.
• B. Add a workflow with the dependency review action.
• C. Enable Dependabot alerts.
• D. Add Dependabot rules.

Answer: B

Explanation:
To detect and block vulnerable dependencies before merge, developers should use the Dependency Review GitHub Action in their pull request workflows. It scans all proposed dependency changes and flags any packages with known vulnerabilities.
This is a preventative measure during development, unlike Dependabot, which reacts after the fact.

NEW QUESTION # 35
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