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Microsoft GH-500 Certification Exam Questions in 3 User-Friendly Formats
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Microsoft GH-500 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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.
Topic 2
- 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 3
- 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 4
- 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 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 GitHub Advanced Security Sample Questions (Q21-Q26):
NEW QUESTION # 21
The autobuild step in the CodeQL workflow has failed. What should you do?
- A. Remove the autobuild step from your code scanning workflow and add specific build steps.
- B. Compile the source code.
- C. Remove specific build steps.
- D. Use CodeQL, which implicitly detects the supported languages in your code base.
Answer: A
Explanation:
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.
NEW QUESTION # 22
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 pull request is opened by a contributor
- C. when Dependabot opens a pull request to update a vulnerable dependency
- D. as soon as a vulnerable dependency is detected
Answer: D
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 # 23
Which of the following is the best way to prevent developers from adding secrets to the repository?
- A. Make the repository public.
- B. Configure a security manager.
- C. Create a CODEOWNERS file.
- D. Enable push protection.
Answer: D
Explanation:
Enabling push protection for your repository
With push protection, secret scanning blocks contributors from pushing secrets to a repository and generates an alert whenever a contributor bypasses the block.
NEW QUESTION # 24
Which Dependabot configuration fields are required? Each answer presents part of the solution.
(Choose three.)
- A. schedule.interval
- B. allow
- C. package-ecosystem
- D. milestone
- E. directory
Answer: A,C,E
Explanation:
When configuring Dependabot via the dependabot.yml file, the following fields are mandatory for each update configuration:
[D] directory: Specifies the location of the package manifest within the repository. This tellsDependabot where to look for dependency files.
[A] package-ecosystem: Indicates the type of package manager (e.g., npm, pip, maven) used in the specified directory.
[C] schedule.interval: Defines how frequently Dependabot checks for updates (e.g., daily, weekly). This ensures regular scanning for outdated or vulnerable dependencies.
[Not E] The milestone field is optional and used for associating pull requests with milestones. The allow field is also optional and used to specify which dependencies to update.
NEW QUESTION # 25
A repository's dependency graph includes:
- A. dependencies from all your repositories.
- B. dependencies parsed from a repository's manifest and lock files.
- C. a summary of the dependencies used in your organization's repositories.
- D. annotated code scanning alerts from your repository's dependencies.
Answer: B
Explanation:
The dependency graph includes all the dependencies of a repository that are detailed in the manifest and lock files, or their equivalent, for supported ecosystems, as well as any dependencies that are submitted using the dependency submission API. This includes:
Direct dependencies, that are explicitly defined in a manifest or lock file or have been submitted using the dependency submission API.
Indirect dependencies of these direct dependencies, also known as transitive dependencies or sub-dependencies.
NEW QUESTION # 26
......
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