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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 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.

>> Microsoft GH-500 Practice Exam <<

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Microsoft GitHub Advanced Security Sample Questions (Q52-Q57):

NEW QUESTION # 52
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
In the advanced setup for CodeQL code scanning, GitHub generates a workflow file named codeql-analysis.yml. This file is located in the .github/workflows directory of your repository. It defines the configuration for the CodeQL analysis, including the languages to analyze, the events that trigger the analysis, and the steps to perform during the workflow.


NEW QUESTION # 53
A secret scanning alert should be closed as "used in tests" when a secret is:

Answer: B

Explanation:
If a secret is intentionally used in a test environment and poses no real-world security risk, you may close the alert with the reason"used in tests". This helps reduce noise and clarify that the alert was reviewed and accepted as non-critical.
Just being in a test file isn't enough unless itspurpose is purely for testing.
If a secret is intentionally used in a test environment and poses no real-world security risk, you may close the alert with the reason"used in tests". This helps reduce noise and clarify that the alert was reviewed and accepted as non-critical.
Just being in a test file isn't enough unless itspurpose is purely for testing.


NEW QUESTION # 54
Which of the following tasks can be performed by a security team as a proactive measure to help address secret scanning alerts? (Each answer presents a complete solution. Choose two.)

Answer: B,D

Explanation:
To proactively address secret scanning:
* Webhooks can be configured to listen for secret scanning events. This allows automation, logging, or alerting in real-time when secrets are detected.
* Documenting secure development practices (like using environment variables or secret managers) helps reduce the likelihood of developers committing secrets in the first place.
Dismissal based on age is not a best practice without triage. SCIM deals with user provisioning, not scanning alerts.
: GitHub Docs - Managing and Responding to Secret Scanning Alerts


NEW QUESTION # 55
Why should you dismiss a code scanning alert?

Answer: A

Explanation:
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.
: GitHub Docs - Dismissing Code Scanning Alerts


NEW QUESTION # 56
You have a GitHub Enterprise subscription that contains multiple organizations. Each organization contains repositories that use GitHub Advanced Security.
You need to manage code security and analysis policies across all the organizations. The solution must ensure that the organization owners can manage repository membership and day- to-day collaboration within their respective organization.
What should you configure?

Answer: A

Explanation:
To achieve this, you should configure code security and analysis policies at the GitHub Enterprise account level while assigning members the Organization Owner role within their respective organizations.
Enforcing these settings at the Enterprise level overrides lower-level changes. This allows you to globally control GitHub Advanced Security (GHAS) policies while delegating membership and daily operations to individual organization administrators.
Reference:
https://docs.github.com/en/enterprise-server@3.20/organizations/collaborating-with-groups-in-organizations/about-organizations


NEW QUESTION # 57
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