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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
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 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 3	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 4	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 5	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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Microsoft GitHub Advanced Security Sample Questions (Q30-Q35):

NEW QUESTION # 30
Which of the following dependencies could trigger a Dependabot alert? Each answer presents a complete solution. (Choose two.)

A. loose dependencies declared in a manifest
B. indirect dependencies explicitly declared in a lockfile
C. direct dependencies at 08:00 UTC
D. direct dependencies explicitly declared in a manifest

Answer: B,D

Explanation:
[B]
A Dependabot direct dependency is a package or library that your project explicitly lists and requires in its manifest file (like package.json or Gemfile). Dependabot specifically focuses on these direct dependencies, creating automated pull requests to update them to newer, more secure, or stable versions, helping to keep your project's dependencies up-to-date and prevent security vulnerabilities.
[D]
Direct dependencies may have their own dependencies, which are referred to as transitive dependencies or indirect dependencies.
Locked Files and Dependencies
A locked file in software development is a file that records the exact versions of all dependencies (both direct and transitive) used in a project at a specific point in time. It acts as a snapshot of the dependency graph, ensuring that the project builds consistently with the same versions across different environments.

NEW QUESTION # 31
Where in the repository can you give additional users access to secret scanning alerts?

A. Secrets
B. Settings
C. Insights
D. Security

Answer: B

Explanation:
About access management for repositories
For each repository that you administer on GitHub, you can see an overview of every team or person with access to the repository. From the overview, you can also invite new teams or people, change each team or person's role for the repository, or remove access to the repository.
This overview can help you audit access to your repository, onboard or off-board contractors or employees, and effectively respond to security incidents.
Inviting a team or person
1. On GitHub, navigate to the main page of the repository.
2. Under your repository name, click Settings. If you cannot see the "Settings" tab, select the dropdown menu, then click Settings.

3. In the "Access" section of the sidebar, click Collaborators & teams.
4.To the right of "Manage access", click Add people or Add teams.
5. In the search field, start typing the name of the team or person to invite, then click a name in the list of matches.
6. Under "Choose a role", select the repository role to grant to the team or person, then click Add NAME to REPOSITORY.

NEW QUESTION # 32
What step is required to run a SARIF-compatible (Static Analysis Results Interchange Format) tool on GitHub Actions?

A. Update the workflow to include a final step that uploads the results.
B. By default, the CodeQL runner automatically uploads results to GitHub on completion.
C. Use the CLI to upload results to GitHub.
D. The CodeQL action uploads the SARIF file automatically when it completes analysis.

Answer: A

Explanation:
When using a SARIF-compatible tool within GitHub Actions, it's necessary to explicitly add a step in your workflow to upload the analysis results. This is typically done using the upload-sarif action, which takes the SARIF file generated by your tool and uploads it to GitHub for processing and display in the Security tab. Without this step, the results won't be available in GitHub's code scanning interface.

NEW QUESTION # 33
What does code scanning do?

A. It prevents code pushes with vulnerabilities as a pre-receive hook.
B. It scans your entire Git history on branches present in your GitHub repository for any secrets.
C. It analyzes a GitHub repository to find security vulnerabilities.
D. It contacts maintainers to ask them to create security advisories if a vulnerability is found.

Answer: C

Explanation:
Code scanning in GitHub Advanced Security for Azure DevOps lets you analyze the code in an Azure DevOps repository to find security vulnerabilities and coding errors.
CodeQL is the code analysis engine developed by GitHub to automate security checks. You can analyze your code using CodeQL and display the results as code scanning alerts.

NEW QUESTION # 34
What are the default settings for Dependabot alerts in public and private repositories on GitHub?

A. Dependabot alerts are disabled by default for public repositories and enabled by default for private repositories.
B. Dependabot alerts are disabled by default for both public and private repositories.
C. Dependabot alerts are enabled by default for public repositories and disabled by default for private repositories.
D. Dependabot alerts are enabled by default for both public and private repositories.

Answer: C

NEW QUESTION # 35
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