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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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
  • 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 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.

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Microsoft GitHub Advanced Security Sample Questions (Q97-Q102):

NEW QUESTION # 97
Which security feature shows a vulnerable dependency in a pull request?

Answer: B

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.
: GitHub Docs - About Dependency Review


NEW QUESTION # 98
Hotspot Question
You have a GitHub Enterprise Cloud Organization that uses GitHub Advanced Security and runs CodeQL code scanning on pull requests (PRs).
You discover that a specific CodeQL alert is a false positive and must be closed without changing the code.
You need to dismiss the alert as a false positive result and add a dismissal comment.
How should you complete the GitHub CLI command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Gh
gh is the core executable command for the GitHub CLI tool. All GitHub CLI commands start with gh followed by the specific extension or API flag.
Box 2: ${owner}/${repo}
{owner}/{repo} represents the repository path required by the GitHub REST API endpoint. For an enterprise cloud organization, {owner} is your GitHub Organization name and {repo} is the specific repository name where the alert resides (e.g., my-org/my-application).
Reference:
https://cve.akaoma.com/cve-2023-3883


NEW QUESTION # 99
How do I configure a webhook to monitor key scan alert events? What are the steps of this operation?

Answer: A,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.


NEW QUESTION # 100
What is the minimum role needed in order to view the secret scanning alerts list within the Security tab of a repository?

Answer: A

Explanation:
For the secret scanning alerts list view specifically, Admin is the correct choice among the supplied roles.
GitHub distinguishes between being able to access information about a particular secret associated with your own commits and having access to the repository-wide secret scanning alert list. GitHub's repository-role documentation notes that users with Write or Maintain roles can directly view secret-scanning information associated with their own commits but cannot access the full alert-list view under the standard role model.
Repository administrators have the broader security visibility needed for the complete list. Read access is insufficient, while "repository owner" is not a standard repository role for organization-owned repositories.
Additional users can also receive alert access when explicitly granted it by an organization owner or repository administrator.


NEW QUESTION # 101
How would you build your code within the CodeQL analysis workflow? Each answer presents a complete solution. (Choose two.)

Answer: B,D

Explanation:
[B] Build Modes
The CodeQL Action supports different build modes for analyzing the source code. The available build modes are:
none: The database will be created without building the source code. Available for all interpreted languages and some compiled languages.
*-> autobuild: The database will be created by attempting to automatically build the source code.
Available for all compiled languages.
manual: The database will be created by building the source code using a manually specified build command. To use this build mode, specify manual build steps in your workflow between the init and analyze steps. Available for all compiled languages.
[D] Actions
This repository contains several actions that enable you to analyze code in your repository using CodeQL and upload the analysis to GitHub Code Scanning. Actions in this repository also allow you to upload to GitHub analyses generated by any SARIF-producing SAST tool.
Actions for CodeQL analyses:
*-> init: Sets up CodeQL for analysis.
analyze: Finalizes the CodeQL database, runs the analysis, and uploads the results to Code Scanning.


NEW QUESTION # 102
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