GH-500 - GitHub Advanced Security–Reliable Test Cram Pdf

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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Passing Score:700 / 1000
Exam Price:$99 USD
Exam Duration:100 minutes
Exam Format:Multiple-choice, Interactive tasks, Scenario-based
Certificate Validity Period:1 year
Real Exam Qty:40–60
Available Languages:Portuguese (Brazil), Arabic (Saudi Arabia), Chinese (Simplified), German, French, English, Spanish, Japanese, Korean
Recommended Training:Course GH-500T00: GitHub Advanced Security
GitHub Advanced Security Learning Path
Exam Registration:Microsoft Learn Exam Registration
Pearson VUE Scheduling
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored or onsite testing via Pearson VUE
Pre Condition:Familiarity with GitHub fundamentals, CI/CD pipelines, and secure development practices; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-500

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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
  • 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 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
  • 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
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q61-Q66):

NEW QUESTION # 61
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?

Answer: C

Explanation:
Push protection is a secret scanning feature that is designed to prevent sensitive information, such as secrets or tokens, from being pushed to your repository in the first place. Unlike secret scanning, which detects secrets after they have been committed, push protection proactively scans your code for secrets during the push process and blocks the push if any are detected.
Push protection helps you avoid the risks associated with exposed secrets, like unauthorized access to resources or services. With this feature, developers get immediate feedback and can address potential issues before they become a security concern.


NEW QUESTION # 62
Which of the following dependencies could trigger a Dependabot alert? (Each answer presents a complete solution. Choose two.)

Answer: A,B

Explanation:
Dependabot alerts can identify vulnerable direct dependencies declared in a manifest and vulnerable indirect or transitive dependencies when GitHub can determine their versions from a lockfile. GitHub's dependency graph extracts dependency information from supported manifest and lock files and compares identified package versions against security advisories in the GitHub Advisory Database. Direct dependencies explicitly declared in manifests therefore qualify for vulnerability detection. Transitive dependencies recorded with resolvable versions in lockfiles can also generate alerts. A "loose" dependency declaration may not provide GitHub with a sufficiently specific installed version to establish that the project actually uses a vulnerable release, while a particular time such as 08:00 UTC has nothing to do with whether a dependency qualifies for an alert. Thus, A and C are correct.


NEW QUESTION # 63
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?

Answer: B

Explanation:
If you already enabled CodeQL with the default settings, select the menu labeled "...", then select Switch to advanced. Select Disable CodeQL when prompted. Don't worry, we will re-enable it after we've completed the advanced setup process.
After selecting or switching to advanced, you'll be taken to a GitHub Actions workflow file named codeql.yml. You can find it in your Web Goat repository's /.github/workflows directory. This is the file we use to run and configure CodeQL.


NEW QUESTION # 64
Secret scanning will ignore a secret_scanning.yml file that:

Answer: D

Explanation:
GitHub documents a size limit for the .github/secret_scanning.yml configuration file. If the file is larger than
1 MB, secret scanning ignores the entire configuration file. This file is used primarily to define paths-ignore entries for directories or files where matching secrets should automatically be excluded or alerts closed as ignored by configuration. There is also a separate limit on path exclusions: if paths-ignore contains more than
1,000 entries, GitHub processes only the first 1,000 directories rather than ignoring the complete configuration file. Therefore, the 1,000-entry condition has different behavior from exceeding the file-size limit. A 100 KB file remains below GitHub's documented threshold. Consequently, option B accurately identifies the condition that causes the entire secret_scanning.yml file to be ignored.


NEW QUESTION # 65
Which syntax in a query suite tells CodeQL to look for one or more specified .ql files?

Answer: C

Explanation:
Locating queries to add to a query suite
When creating a query suite, you first need to specify the locations of the queries that you want to select. You can define the location of one or more queries using:
A query instruction: Tells CodeQL to look for one or more specified .ql files:
- query: <path-to-query>
The argument must be one or more file paths, relative to the CodeQL pack containing the suite definition.


NEW QUESTION # 66
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