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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
  • 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 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 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
  • 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.

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Microsoft GitHub Advanced Security Sample Questions (Q64-Q69):

NEW QUESTION # 64
Assuming that notification settings and Dependabot alert recipients have not been customized, which user account setting should you use to get an alert when a vulnerability is detected in one of your repositories?

Answer: A

Explanation:
To ensure you're notified whenever a vulnerability is detected via Dependabot, you mustenablealerts for Dependabotin your personal notification settings. This applies to both new and existing repositories. It ensures you get timely alerts about security vulnerabilities.
[Not C] The dependency graph must be enabled for scanning, but does not send alerts itself.


NEW QUESTION # 65
Which of the following workflow events would trigger a dependency review? (Each answer presents a complete solution. Choose two.)

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
Dependency review is triggered by specific events in GitHub workflows:
pull_request: When a pull request is opened, synchronized, or reopened, GitHub can analyze the changes in dependencies and provide a dependency review.
workflow_dispatch: This manual trigger allows users to initiate workflows, including those that perform dependency reviews.
The trigger and commit options are not recognized GitHub Actions events and would not initiate a dependency review.
References: GitHub Docs - Events that trigger workflows


NEW QUESTION # 66
When using CodeQL, what extension stores query suite definitions?

Answer: B

Explanation:
About creating CodeQL query suites
CodeQL query suites provide a way of selecting queries, based on their filename, location on disk or in a CodeQL pack, or metadata properties. Create query suites for the queries that you want to frequently use in your CodeQL analyses.
Query suites allow you to pass multiple queries to CodeQL without having to specify the path to each query file individually. Query suite definitions are stored in YAML files with the extension .qls. A suite definition is a sequence of instructions, where each instruction is a YAML mapping with (usually) a single key. The instructions are executed in the order they appear in the query suite definition. After all the instructions in the suite definition have been executed, the result is a set of selected queries.


NEW QUESTION # 67
Assuming that notification settings and Dependabot alert recipients have not been customized, which user account setting should you use to get an alert when a vulnerability is detected in one of your repositories?

Answer: C

Explanation:
To ensure you're notified whenever a vulnerability is detected via Dependabot, you must enable alerts for Dependabot in your personal notification settings. This applies to both new and existing repositories. It ensures you get timely alerts about security vulnerabilities.
The dependency graph must be enabled for scanning, but does not send alerts itself.


NEW QUESTION # 68
Which of the following is the most proactive and practical way to prevent new secret scanning alerts?

Answer: B

Explanation:
To prevent new secret scanning alerts, enable push protection to block secrets from being committed in the first place, and manage push protection patterns to disable blocking for specific, low-risk secret types or false positives.
Enable Push Protection
Prevent new commits: Push protection proactively scans code for secrets before they are pushed to a repository. If a secret is detected, the push is blocked, providing immediate feedback to developers and preventing secrets from entering the codebase.
Configure patterns: You can configure which secret patterns are blocked at the organization or enterprise level. By disabling patterns that frequently generate false positives, you can reduce the number of new alerts.


NEW QUESTION # 69
......

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