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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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	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 (Q55-Q60):

NEW QUESTION # 55
If default code security settings have not been changed at the repository, organization, or enterprise level, which repositories receive Dependabot alerts?

A. Repositories owned by an organization
B. None
C. Private repositories
D. Repositories owned by an enterprise account

Answer: B

Explanation:
By default , no repositories receive Dependabot alerts unless configuration is explicitly enabled. GitHub does not enable Dependabot alerts automatically for any repositories unless:
* The feature is turned on manually
* It's configured at the organization or enterprise level via security policies This includes public, private, and enterprise-owned repositories - manual activation is required .
: GitHub Docs - About Dependabot Alerts

NEW QUESTION # 56
Which of the following options would close a Dependabot alert?

A. creating a pull request to resolve the vulnerability that will be approved and merged
B. viewing the Dependabot alert on the Dependabot alerts tab of your repository
C. leaving the repository in its current state
D. viewing the dependency graph

Answer: A

Explanation:
To close a Dependabot alert, the primary method is to address the underlying vulnerability. This usually involves merging a pull request that Dependabot creates to update the vulnerable dependency or manually fixing the issue and pushing the updated code. Once the vulnerability is resolved, the alert will be automatically closed. Alternatively, you can manually close alerts in the
"Security" tab of your repository.
Here's a more detailed breakdown:
1. Addressing the Vulnerability:
*-> Merge Dependabot Pull Requests:
If Dependabot has identified a vulnerability and created a pull request to fix it, review and merge the pull request. This will automatically update the dependency and close the alert.
* Manual Fix:
If you prefer to fix the vulnerability yourself, make the necessary code changes to update the dependency. Once the changes are pushed and merged, Dependabot will recognize the fix and close the alert.
2. Manually Closing Alerts (if needed)

NEW QUESTION # 57
The autobuild step in the CodeQL workflow has failed. What should you do?

A. Remove specific build steps.
B. Use CodeQL, which implicitly detects the supported languages in your code base.
C. Compile the source code.
D. Remove the autobuild step from your code scanning workflow and add specific build steps.

Answer: D

Explanation:
If auto build fails (which attempts to automatically detect how to build your project), you shoulddisable itin your workflow andreplace 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 # 58
How does GitHub Advanced Security (GHAS) help integrate security into each step of the software development life cycle?

A. By providing access to curated security intelligence from millions of developers and security researchers around the world.
B. By automating security checks with every pull request, surfacing issues in the context of the development workflow.
C. By generating alerts for outdated dependencies in a project.
D. By providing a comprehensive dashboard summarizing the security status of the repository.

Answer: B

NEW QUESTION # 59
What is required to trigger code scanning on a specified branch?

A. The repository must be private.
B. The workflow file must exist in that branch.
C. Secret scanning must be enabled on the repository.
D. Developers must actively maintain the repository.

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
For code scanning to be triggered on a specific branch, the branch must contain the appropriate workflow file, typically located in the .github/workflows directory. This YAML file defines the code scanning configuration and specifies the events that trigger the scan (e.g., push, pull_request).
Without the workflow file in the branch, GitHub Actions will not execute the code scanning process for that branch. The repository's visibility (private or public), the status of secret scanning, or the activity level of developers do not directly influence the triggering of code scanning.
References: GitHub Docs - About workflows; About code scanning alerts

NEW QUESTION # 60
......

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