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| Topic | Details |
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| Topic 1 | - 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 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.
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| Topic 3 | - 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 4 | - 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 5 | - 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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>> GH-500 Reliable Test Dumps <<
Free PDF Microsoft - GH-500 - High-quality GitHub Advanced Security Reliable Test Dumps
The web-based GH-500 practice test is accessible via any browser. This GH-500 mock exam simulates the actual Microsoft GH-500 exam and does not require any software or plugins. Compatible with iOS, Mac, Android, and Windows operating systems, it provides all the features of the desktop-based GH-500 Practice Exam software.
Microsoft GitHub Advanced Security Sample Questions (Q46-Q51):
NEW QUESTION # 46
When code scanning is enabled, what is one default event that triggers a scan?
- A. Creating a new branch.
- B. Merging a branch.
- C. Deleting a branch.
- D. Pushing a change.
Answer: D
NEW QUESTION # 47
Assuming that notification and alert recipients are not customized, what does GitHub do when it identifies a vulnerable dependency in a repository where Dependabot alerts are enabled? (Each answer presents part of the solution. Choose two.)
- A. It consults with a security service and conducts a thorough vulnerability review.
- B. It generates a Dependabot alert and displays it on the Security tab for the repository.
- C. It generates Dependabot alerts by default for all private repositories.
- D. It notifies the repository administrators about the new alert.
Answer: B,D
Explanation:
When GitHub identifies a vulnerable dependency in a repository with Dependabot alerts enabled, it performs the following actions:
[A] Geneates a Dependabot alert: The alert is displayed on the repository's Security tab, providing details about the vulnerability and affected dependency.
[D] Notifies repository maintainers: By default, GitHub notifies users with write, maintain, or admin permissions about new Dependabot alerts.
These actions ensure that responsible parties are informed promptly to address the vulnerability.
NEW QUESTION # 48
Where can you use CodeQL analysis for code scanning? Each answer presents part of the solution. (Choose two.)
- A. in a third-party Git repository
- B. in the Files changed tab of the pull request
- C. in a workflow
- D. in an external continuous integration (CI) system
Answer: C,D
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 tabin pull requests only shows diff - not analysis results.
NEW QUESTION # 49
What is code scanning?
- A. a feature to identify all your project's dependencies
- B. a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors
- C. a feature to privately discuss, fix, and publish information about security vulnerabilities in your repository
- D. a feature that scans repositories for known types of secrets, to prevent fraudulent use of secrets that were committed accidentally
Answer: B
Explanation:
GitHub's Code scanning is a feature that analyzes the code in a GitHub repository to find security vulnerabilities and coding errors, providing alerts in the repository and offering tools to triage, prioritize, and fix issues. It acts as a Static Application Security Testing (SAST) tool, using engines like CodeQL to detect issues like SQL injection and Cross-Site Scripting (XSS), and can be triggered automatically on events like pushes and pull requests.
NEW QUESTION # 50
Which of the following is the most complete method for Dependabot to find vulnerabilities in third-party dependencies?
- A. CodeQL analyzes the code and raises vulnerabilities in third-party dependencies
- B. A dependency graph is created, and Dependabot compares the graph to the GitHub Advisory database
- C. The build tool finds the vulnerable dependencies and calls the Dependabot API
- D. Dependabot reviews manifest files in the repository
Answer: B
Explanation:
Dependabot builds a dependency graph by analyzing package manifests and lockfiles in your repository. This graph includes both direct and transitive dependencies. It then compares this graph against the GitHub Advisory Database, which includes curated, security-reviewed advisories.
This method provides a comprehensive and automated way to discover all known vulnerabilities across your dependency tree.
NEW QUESTION # 51
......
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