Study GH-500 Plan & New GH-500 Exam Question

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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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 4
  • 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 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 (Q113-Q118):

NEW QUESTION # 113
Which of the following workflow events would trigger a dependency review? (Each answer presents a complete solution. Choose two.)

Answer: A,B

Explanation:
About the dependency review action
The "dependency review action" refers to the specific action that can report on differences in a pull request within the GitHub Actions context. You can use the dependency review action in your repository to enforce dependency reviews on your pull requests. [D] The action uses the dependency review REST API to get the diff of dependency changes between the base commit and head commit. You can use the dependency review API to get the diff of dependency changes, including vulnerability data, between any two commits on a repository. [A]
[D] dependency-review-action
The dependency review action scans your pull requests for dependency changes, and will raise an error if any vulnerabilities or invalid licenses are being introduced. The action is supported by an API endpoint that diffs the dependencies between any two revisions on your default branch.
Incorrect:
[Not B] The workflow_dispatch event adds a layer of flexibility and control to your GitHub workflows, enabling manual triggers with custom inputs. Whether integrating with external systems or managing deployments directly from GitHub, workflow_dispatch provides the tools necessary for robust workflow management.


NEW QUESTION # 114
What is the difference between scheduled versus triggered events in code scanning?

Answer: C


NEW QUESTION # 115
Why should you dismiss a code scanning alert?

Answer: C

Explanation:
You should dismiss a code scanning alert if the flagged code is not a true security concern, such as:
*-> Code in test files
Code paths that are unreachable or safe by design
False positives from the scanner
Fixing the code would automatically resolve the alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.


NEW QUESTION # 116
Where can you use CodeQL analysis for code scanning? (Each answer presents part of the solution. Choose two.)

Answer: A,C

Explanation:
In a workflow: GitHub Actions workflows are the most common place for CodeQL code scanning. The codeql-analysis.yml defines how the analysis runs and when it triggers.
In an external CI system: GitHub allows you to run CodeQL analysis outside of GitHub Actions. Once complete, the results can be uploaded using the upload-sarif action to make alerts visible in the repository.
You cannot run or trigger analysis from third-party repositories directly, and the Files changed tab in pull requests only shows diff - not analysis results.


NEW QUESTION # 117
Which of the following steps should you follow to integrate CodeQL into a third-party continuous integration system? Each answer presents part of the solution. (Choose three.)

Answer: A,C,E

Explanation:
Using code scanning with your existing CI system
You can analyze your code with the CodeQL CLI or another tool in a third-party continuous integration system and upload the results to GitHub. The resulting code scanning alerts are shown alongside any alerts generated within GitHub.
[A] Setting up your analysis tool
You will first need to download your analysis tool of choice and set it up with your CI system.
If you are using the CodeQL CLI, you need to make the full contents of the CodeQL CLI bundle available to every CI server that you want to run CodeQL code scanning analysis on.
[B ] Analyzing code
To analyze code with the CodeQL CLI or another analysis tool, you will want to check out the code you want to analyze and set up the codebase environment, making sure that any dependencies are available. You may also want to find the build command for the codebase, typically available in your CI system's configuration file.
You can then complete the steps to analyze your codebase and produce results, which will differ based on the static analysis tool you are using.
[E] Uploading your results to GitHub
Once you have analyzed your code, produced SARIF results, and ensured you can authenticate with GitHub, you can upload the results to GitHub.


NEW QUESTION # 118
......

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