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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	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 4	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 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 (Q125-Q130):

NEW QUESTION # 125
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?

A. When Dependabot creates a pull request to update dependencies
B. When you merge a pull request that contains a security update
C. When the pull request checks are successful
D. When you dismiss the Dependabot alert

Answer: B

Explanation:
A Dependabot alert is marked as resolved only after the related pull request is merged into the repository.
This indicates that the vulnerable dependency has been officially replaced with a secure version in the active codebase.
Simply generating a PR or passing checks does not change the alert status; merging is the key step.
: GitHub Docs - About Dependabot security updates; Managing Dependabot alerts

NEW QUESTION # 126
What is a security policy?

A. A file in a GitHub repository that provides instructions to users about how to report a security vulnerability
B. An alert about dependencies that are known to contain security vulnerabilities
C. An automatic detection of security vulnerabilities and coding errors in new or modified code
D. A security alert issued to a community in response to a vulnerability

Answer: A

Explanation:
A security policy is defined by a SECURITY.md file in the root of your repository or .github/ directory. This file informs contributors and security researchers about how to responsibly report vulnerabilities. It improves your project's transparency and ensures timely communication and mitigation of any reported issues.
Adding this file also enables a "Report a vulnerability" button in the repository's Security tab.

NEW QUESTION # 127
A colleague ignores a code scanning alert. What are the implications of the colleague's action? (Each answer presents part of the solution. Choose three.)

A. Sensitive information could be leaked.
B. Webhooks and the code scanning API remove the alert.
C. GitHub removes the alert after sixty days.
D. A dangerous argument could be passed to functions.
E. Data could be used insecurely.

Answer: A,D,E

Explanation:
Ignoring an unresolved code scanning alert leaves the underlying security issue present in the application.
GitHub identifies several risks through CodeQL data-flow analysis, including data being used insecurely, dangerous arguments reaching sensitive functions, and sensitive information being leaked. These are precisely the kinds of vulnerabilities for which code scanning traces data from a source to a potentially unsafe sink.
GitHub does not automatically remove an unresolved alert merely because sixty days have elapsed. Likewise, webhooks and the code scanning API can expose alert events and enable integrations, but they do not automatically eliminate the vulnerability. Proper remediation requires fixing the affected code or intentionally dismissing an alert with an appropriate reason after security review. Therefore, A, B, and E describe the relevant security implications.

NEW QUESTION # 128
When using CodeQL, what extension stores query suite definitions?

A. .qll
B. .yml
C. .qls
D. .ql

Answer: C

Explanation:
Query suite definitions in CodeQL are stored using the .qls file extension. A query suite defines a collection of queries to be run during an analysis and allows for grouping them based on categories like language, security relevance, or custom filters.
In contrast:
.ql files are individual queries.
.qll files are libraries used by .ql queries.
.yml is used for workflows, not query suites.

NEW QUESTION # 129
Which features require GitHub Advanced Security to be enabled for internal and private repositories in an organization? Each correct answer presents part of the solution. (Choose two.)

A. security policy
B. secret scanning
C. dependency review
D. packages

Answer: B,C

Explanation:
About GitHub Advanced Security products
GitHub has many features that help you improve and maintain the quality of your code. Some of these are included in all plans, such as dependency graph and Dependabot alerts.
Other security features require you to purchase one of GitHub's Advanced Security products:
GitHub Secret Protection, which includes features that help you detect and prevent secret leaks, such as secret scanning [B] and push protection.
GitHub Code Security, which includes features that help you find and fix vulnerabilities, like code scanning, premium Dependabot features, and dependency review [D].

NEW QUESTION # 130
......

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