Quiz GH-500 - Newest GitHub Advanced Security Certification Dumps

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Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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 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	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 5	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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Quiz Microsoft - Professional GH-500 Certification Dumps

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Microsoft GitHub Advanced Security Sample Questions (Q119-Q124):

NEW QUESTION # 119
In a private repository, what minimum requirements does GitHub need to generate a dependency graph? (Each answer presents part of the solution. Choose two.)

A. Read-only access to all the repository's files
B. Read-only access to the dependency manifest and lock files for a repository
C. Dependency graph enabled at the organization level for all new private repositories
D. Write access to the dependency manifest and lock files for an enterprise

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation:
To generate a dependency graph for a private repository, GitHub requires:
Dependency graph enabled: The repository must have the dependency graph feature enabled. This can be configured at the organization level to apply to all new private repositories.
Access to manifest and lock files: GitHub needs read-only access to the repository's dependency manifest and lock files (e.g., package.json, requirements.txt) to identify and map dependencies.

NEW QUESTION # 120
Which CodeQL query suite provides queries of lower severity than the default query suite?

A. security-extended
B. github/codeql-go/ql/src@main
C. github/codeql/cpp/ql/src@main

Answer: A

Explanation:
The security-extended query suite includes additional CodeQL queries that detect lower severity issues than those in the default security-and-quality suite.
About CodeQL query suites
With CodeQL code scanning, you can select a specific group of CodeQL queries, called a CodeQL query suite, to run against your code. The following built-in query suites are available through GitHub:
default query suite.
security-extended query suite. This suite is referred to as the "Extended" query suite on GitHub.
Currently, both the default query suite and the security-extended query suite are available for default setup for code scanning.

NEW QUESTION # 121
Which of the following options are code scanning application programming interface (API) endpoints? Each answer presents part of the solution. (Choose two.)

A. Delete all open code scanning alerts.
B. Get a single code scanning alert.
C. List all open code scanning alerts for the default branch.
D. Modify the severity of an open code scanning alert.

Answer: B,D

Explanation:
REST API endpoints for code scanning
Use the REST API to retrieve and update code scanning alerts from a repository.
[D] Get a code scanning alert
Gets a single code scanning alert.
OAuth app tokens and personal access tokens (classic) need the security_events scope to use this endpoint with private or public repositories, or the public_repo scope to use this endpoint with only public repositories.
Fine-grained access tokens for "Get a code scanning alert"
This endpoint works with the following fine-grained token types:
GitHub App user access tokens
GitHub App installation access tokens
Fine-grained personal access tokens
[C] Update a code scanning alert
Updates the status of a single code scanning alert. OAuth app tokens and personal access tokens (classic) need the security_events scope to use this endpoint with private or public repositories, or the public_repo scope to use this endpoint with only public repositories.

NEW QUESTION # 122
What does code scanning do?

A. It prevents code pushes with vulnerabilities as a pre-receive hook.
B. It contacts maintainers to ask them to create security advisories if a vulnerability is found.
C. It scans your entire Git history on branches present in your GitHub repository for any secrets.
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 # 123
When using CodeQL, how does extraction for compiled languages work?

A. by generating one language at a time
B. by running directly on the source code
C. by monitoring the normal build process
D. by resolving dependencies to give an accurate representation of the codebase

Answer: C

Explanation:
For compiled languages, CodeQL performs extraction bymonitoring the normal build process.
This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.
This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.

NEW QUESTION # 124
......

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