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| Topic | Details |
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| Topic 1 | - 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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| Topic 2 | - 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.
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| 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.
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| Topic 4 | - 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.
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| Topic 5 | - 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.
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Microsoft GH-500 Questions To Make Sure Results [2026]
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Microsoft GitHub Advanced Security Sample Questions (Q25-Q30):
NEW QUESTION # 25
Which of the following workflow events would trigger a dependency review? (Each answer presents a complete solution. Choose two.)
- A. pull_request
- B. workflow_dispatch
- C. commit
- D. trigger
Answer: A,B
Explanation:
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.
References: GitHub Docs - Events that trigger workflows
NEW QUESTION # 26
What is the format of the GitHub security advisory form?
- A. A Dependabot alert sent to the affected repositories
- B. A form matching the MITRE database security advisory format
- C. A form matching the Common Vulnerabilities and Exposures (CVE) description format
- D. A CVE Numbering Authority (CNA) description format
Answer: C
Explanation:
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.
NEW QUESTION # 27
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?
- A. codeql-config.yml
- B. codeql-workflow.yml
- C. codeql-scan.yml
- D. codeql.yml
Answer: D
Explanation:
If you already enabled CodeQL with the default settings, select the menu labeled "...", then select Switch to advanced. Select Disable CodeQL when prompted. Don't worry, we will re-enable it after we've completed the advanced setup process.
After selecting or switching to advanced, you'll be taken to a GitHub Actions workflow file named codeql.yml. You can find it in your Web Goat repository's /.github/workflows directory. This is the file we use to run and configure CodeQL.
NEW QUESTION # 28
What YAML syntax do you use to exclude certain files from secret scanning?
- A. secret scanning.yml
- B. paths-ignore:
- C. branches-ignore:
- D. decrypt_secret.sh
Answer: B
Explanation:
To exclude specific files or directories from being scanned by secret scanning in GitHub Actions, you can use the paths-ignore: key within your YAML workflow file.
This tells GitHub to ignore specified paths when scanning for secrets, which can be useful for excluding test data or non-sensitive mock content.
Other options listed are invalid:
branches-ignore: excludes branches, not files.
decrypt_secret.sh is not a YAML key.
secret scanning.yml is not a recognized filename for configuration.
NEW QUESTION # 29
What should you do after receiving an alert about a dependency added in a pull request?
- A. Disable Dependabot alerts for all repositories owned by your organization.
- B. Update the vulnerable dependencies before the branch is merged.
- C. Deploy the code to your default branch.
- D. Fork the branch and deploy the new fork.
Answer: B
Explanation:
Reviewing dependency changes in a pull request
If a pull request contains changes to dependencies, you can view a summary of what has changed and whether there are known vulnerabilities in any of the dependencies.
Reviewing and fixing alerts
It's important to ensure that all of your dependencies are clean of any security weaknesses.
When Dependabot discovers vulnerabilities in your dependencies, you should assess your project's level of exposure and determine what remediation steps to take to secure your application.
If a patched version of the dependency is available, you can generate a Dependabot pull request to update this dependency directly from a Dependabot alert. If you have Dependabot security updates enabled, the pull request may be linked in the Dependabot alert.
NEW QUESTION # 30
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