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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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.
Topic 3
  • 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 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
  • 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.

>> GH-500 Questions Answers <<

Latest Updated Microsoft GH-500 Questions Answers - GH-500 GitHub Advanced Security

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Microsoft GitHub Advanced Security Sample Questions (Q44-Q49):

NEW QUESTION # 44
Where can you use CodeQL analysis for code scanning? Each answer presents part of the solution. (Choose two.)

Answer: B,D

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 tabin pull requests only shows diff - not analysis results.


NEW QUESTION # 45
Which alerts do you see in the repository's Security tab? (Each answer presents part of the solution. Choose three.)

Answer: C,D,E

Explanation:
In a repository's Security tab, you can view:
* Secret scanning alerts : Exposed credentials or tokens
* Dependabot alerts : Vulnerable dependencies from the advisory database
* Code scanning alerts : Vulnerabilities in code detected via static analysis (e.g., CodeQL) You won't see general "security status alerts" (not a formal category) or permission-related alerts here.
: GitHub Docs - Understanding the Security Tab


NEW QUESTION # 46
How many alerts are created when two instances of the same secret value are in the same repository?

Answer: A

Explanation:
When two instances of the same secret value are present in the same repository, a secret scanning tool will typically generate one alert for each instance, but will likely deduplicate them to avoid redundant notifications. While the tool might detect both instances and generate two separate alerts, it will likely combine them into a single, consolidated alert to prevent clutter and ensure the user is aware of the potential security risk without being overwhelmed by multiple identical alerts.
Note:
De-duplication:
This logic ensures that if multiple alerts are generated for the same secret (e.g., same value, same rule, same location), they are grouped together and presented as a single, consolidated alert. This helps reduce alert fatigue and makes it easier for developers to manage and address security issues.
Example:
Imagine a scenario where the same API key is accidentally committed twice in the same file. The secret scanning tool will detect both instances. Instead of generating two separate alerts, the tool will likely consolidate them into a single alert, indicating the presence of the API key and its multiple occurrences.


NEW QUESTION # 47
Secret scanning will scan:

Answer: C

Explanation:
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.
: GitHub Docs - About secret scanning


NEW QUESTION # 48
Hotspot Question
You have a GitHub Enterprise Cloud Organization that uses GitHub Advanced Security code scanning with CodeQL advanced setup. The organization contains multiple repositories that store Java and Kotlin source code.
The repositories use inconsistent CodeQL query pack versions.
You need to ensure that all the repositories run a specific CodeQL query pack version during analysis.
How should you complete the workflow YAML code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: analyze
The analyze action runs the actual CodeQL analysis on the compiled codebase.
Box 2: autobuild
Compiled languages like Java and Kotlin require a build step before analysis; autobuild attempts to automatically compile the code.
Reference:
https://github.blog/changelog/2024-03-26-codeql-can-scan-java-projects-without-a-build/


NEW QUESTION # 49
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