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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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
  • 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 (Q20-Q25):

NEW QUESTION # 20
You are configuring code scanning with CodeQL. What is one impact of using a language matrix in your workflow?

Answer: A

Explanation:
When a CodeQL workflow uses a language matrix, the matrix explicitly defines which programming languages the workflow analyzes. GitHub states that CodeQL will analyze only the languages included in that matrix; adding or removing matrix entries therefore directly changes the languages scanned. The matrix also allows separate language-analysis jobs to run in parallel, so it does not inherently make analysis sequential.
The languages input of the CodeQL init action commonly receives the current matrix.language value, but that describes how the matrix value is passed into CodeQL rather than the principal impact asked for here. The matrix also does not represent dependency exclusions. Consequently, the operational effect being tested is that CodeQL analysis is restricted to the languages explicitly included in the workflow's matrix.


NEW QUESTION # 21
Which of the following statements best describes secret scanning push protection?

Answer: B

Explanation:
Secret scanning push protection is a security feature that prevents sensitive information like API keys or tokens from being pushed to a repository in the first place. It works by proactively scanning code during the push process and blocking any attempts to commit secrets. This differs from regular secret scanning, which only detects secrets after they have been committed.


NEW QUESTION # 22
Hotspot Question
You have a GitHub Enterprise Cloud repository named Repo1 that uses GitHub Advanced Security code scanning with CodeQL advanced setup. Repo1 stores JavaScript and Python source code and a workflow named Workflow1. Workflow1 uses matrix.language to analyze each programming language in parallel.
You perform the following actions:
- Define additional query packs for each language by using a custom
CodeQL configuration file.
- In Workflow1A, ad security-and-quality and packs: scope/pack1 queries directly to github/codeql-action/init@v4.
You discover that the additional query packs from the custom configuration file no longer run.
You need to ensure that CodeQL runs the security-and-quality query suite and the additional query packs defined in the configuration file for both languages.
How should you configure github/codeql-action/init@v4? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: queries: security-and-quality
To combine workflow queries with configuration-file queries, set the query input to:
To run the security-and-quality suite along with both the workflow packs and the custom configuration-file packs for both matrix languages, modify your github/codeql-action/init@v4 block as follows:
- name: Initialize CodeQL
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
queries: security-and-quality
config-file: .github/codeql/codeql-config.yml # Path to your custom config file packs: +scope/pack1 Box 2: packs: +scope/pack1 To combine workflow packs with configuration-file packs set the pack input to:
To combine query packs specified in the GitHub Actions workflow with those defined in a custom configuration file, you must prefix the pack name in your workflow with a plus sign (+).Setting packs: +scope/pack1 tells CodeQL to append this pack to any additional packs already defined inside the custom configuration file instead of overriding them.
Reference:
https://docs.github.com/enterprise-server@3.21/code-security/reference/code-scanning/workflow-configuration-options


NEW QUESTION # 23
Which syntax in a query suite tells CodeQL to look for one or more specified .ql files?

Answer: B

Explanation:
In a query suite (a .qls file), the **query** key is used to specify the paths to one or more .ql files that should be included in the suite.
Example:
- query: path/to/query.ql
qls is the file format.
qlpack is used for packaging queries, not in suite syntax.


NEW QUESTION # 24
The autobuild step in the CodeQL workflow has failed. What should you do?

Answer: C

Explanation:
If autobuild fails (which attempts to automatically detect how to build your project), you should disable it in your workflow and replace 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 # 25
......

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