GH-500 Valid Mock Exam - GH-500 Valid Test Papers

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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
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	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 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.
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 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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Microsoft GitHub Advanced Security Sample Questions (Q41-Q46):

NEW QUESTION # 41
What does code scanning do?

A. It prevents code pushes with vulnerabilities as a pre-receive hook.
B. It scans your entire Git history on branches present in your GitHub repository for any secrets.
C. It contacts maintainers to ask them to create security advisories if a vulnerability is found.
D. It analyzes a GitHub repository to find security vulnerabilities.

Answer: D

Explanation:
Code scanning in GitHub Advanced Security for Azure DevOps lets you analyze the code in an Azure DevOps repository to find security vulnerabilities and coding errors.
CodeQL is the code analysis engine developed by GitHub to automate security checks. You can analyze your code using CodeQL and display the results as code scanning alerts.

NEW QUESTION # 42
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 generates a Dependabot alert and displays it on the Security tab for the repository.
B. It consults with a security service and conducts a thorough vulnerability review.
C. It notifies the repository administrators about the new alert.
D. It generates Dependabot alerts by default for all private repositories.

Answer: A,C

Explanation:
Comprehensive and Detailed Explanation:
When GitHub identifies a vulnerable dependency in a repository with Dependabot alerts enabled, it performs the following actions:
Generates a Dependabot alert: The alert is displayed on the repository's Security tab, providing details about the vulnerability and affected dependency.
Notifies repository maintainers: By default, GitHub notifies users with write, maintain, or admin permissions about new Dependabot alerts.
GitHub Docs
These actions ensure that responsible parties are informed promptly to address the vulnerability.
References: GitHub Docs - About Dependabot alerts; Configuring notifications for Dependabot alerts

NEW QUESTION # 43
Drag and Drop Question
You have a GitHub Enterprise Server instance named Server1 that contains multiple private repositories across six organizations. Server1 uses GitHub Advanced Security.
You need to enable code scanning on Server1. The solution must ensure that the organizations can enable code scanning at the organization or repository level.
Which three commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:

Explanation:

Explanation:
To enable code scanning on a GitHub Enterprise Server instance while allowing individual organizations to manage it at their own discretion, the following three commands must be run in sequence via SSH:
ghe-config app.minio.enabled true
ghe-config app.code-scanning.enabled true
ghe-config-apply
Step 1: Run ghe-config app.minio.enabled true
ghe-config app.minio.enabled true - Code scanning relies on an internal MinIO storage service to hold analysis data and CodeQL results. This command activates that prerequisite backend service.
Step 2: Run ghe-config app.code-scanning.enabled true
ghe-config app.code-scanning.enabled true - This enables the overall code scanning capability at the appliance level. By doing this without explicitly overriding or forcing an enterprise-wide enforcement policy, organizations and individual repositories retain the rights to enable or disable it as needed.
Step 3: Run ghe-config-apply
Apply the configurations to the server appliance
ghe-config-apply - This final command must be run to actively apply, initialize, and reload the server configuration with the new settings.
Reference:
https://docs.github.com/en/enterprise-server@3.21/code-security/how-tos/secure-at-scale/configure-enterprise-security/establish-complete-coverage/enabling-github-advanced- security-for-your-enterprise

NEW QUESTION # 44
What step is required to run a SARIF-compatible (Static Analysis Results Interchange Format) tool on GitHub Actions?

A. The CodeQL action uploads the SARIF file automatically when it completes analysis.
B. By default, the CodeQL runner automatically uploads results to GitHub on completion.
C. Use the CLI to upload results to GitHub.
D. Update the workflow to include a final step that uploads the results.

Answer: D

Explanation:
About SARIF file uploads for code scanning
GitHub creates code scanning alerts in a repository using information from Static Analysis Results Interchange Format (SARIF) files. SARIF files can be uploaded to a repository using the API or GitHub Actions.
You can upload the results using GitHub Actions, the code scanning API, or the CodeQL CLI.
The best upload method will depend on how you generate the SARIF file, for example, if you use:
* GitHub Actions to run the CodeQL action, there is no further action required. The CodeQL action uploads the SARIF file automatically when it completes analysis.
* GitHub Actions to run a SARIF-compatible analysis tool, you could update the workflow to include a final step that uploads the results.
Uploading a code scanning analysis with GitHub Actions
To use GitHub Actions to upload a third-party SARIF file to a repository, you'll need a workflow.
Your workflow will need to use the upload-sarif action, which is part of the github/codeql-action repository. It has input parameters that you can use to configure the upload.
* The CodeQL CLI to run code scanning in your CI system, you can use the CLI to upload results to GitHub

NEW QUESTION # 45
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?

A. Enable Dependabot security updates.
B. Add Dependabot rules.
C. Enable Dependabot alerts.
D. Add a workflow with the dependency review action.

Answer: D

Explanation:
To detect and block vulnerable dependencies before merge , developers should use the Dependency Review GitHub Action in their pull request workflows. It scans all proposed dependency changes and flags any packages with known vulnerabilities.
This is a preventative measure during development, unlike Dependabot, which reacts after the fact .
: GitHub Docs - Dependency Review Action

NEW QUESTION # 46
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