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Microsoft GH-500 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | GitHub Advanced Security |
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| Exam Number: | GH-500 |
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| Exam Duration: | 120 minutes |
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| Exam Format: | Drag and drop, Multiple choice, Case study |
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| Related Certifications: | GitHub Advanced Security Certification |
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| Passing Score: | 700 out of 1000 |
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| Available Languages: | English, Spanish, Chinese (Simplified), Japanese, French, German, Korean |
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| Certificate Validity Period: | 1 year |
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| Exam Price: | $165 USD |
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| Real Exam Qty: | 40-60 |
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| Sample Questions: | Microsoft GH-500 Sample Questions |
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| Exam Way: | Online (Proctored) or In-person at a testing center |
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| Pre Condition: | No mandatory prerequisites. Recommended to have experience with GitHub and basic understanding of security concepts. |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/github-advanced-security/ |
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| Topic | Details |
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| 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.
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| 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.
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| 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.
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| Topic 4 | - 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.
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| Topic 5 | - 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.
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Microsoft GitHub Advanced Security Sample Questions (Q14-Q19):
NEW QUESTION # 14
Which security feature shows a vulnerable dependency in a pull request?
- A. dependency graph
- B. dependency review
- C. Dependabot alert
- D. the repository's Security tab
Answer: B
Explanation:
Configuring the dependency review action
You can use the dependency review action to catch vulnerabilities before they are added to your project.
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, and add enforcement mechanisms to the GitHub Actions workflow.
The dependency review action scans your pull requests for dependency changes and raises an error if any new dependencies have known vulnerabilities. The action is supported by an API endpoint that compares the dependencies between two revisions and reports any differences.
NEW QUESTION # 15
When configuring code scanning with CodeQL, what are your options for specifying additional queries? Each answer presents part of the solution. (Choose two.)
- A. queries
- B. scope
- C. packs
- D. github/codeql
Answer: A,C
Explanation:
The options available to specify the additional queries you want to run are:
packs to install one or more CodeQL query packs and run the default query suite or queries for those packs.
queries to specify a single .ql file, a directory containing multiple .ql files, a .qls query suite definition file, or any combination.
NEW QUESTION # 16
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 # 17
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?
- A. enable all in existing repositories
- B. enable all for Dependabot alerts
- C. enable all for Dependency graph
- D. enable by default for new public repositories
Answer: B
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 # 18
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.)
- A. process alerts
- B. upload scan results
- C. analyze code
- D. write queries
- E. install the CLI
Answer: B,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 # 19
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