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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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
  • 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 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 (Q28-Q33):

NEW QUESTION # 28
Where can you view code scanning results from CodeQL analysis?

Answer: D

Explanation:
All results from CodeQL analysis appear under the repository's code scanning alerts tab. This section is part of the Security tab and provides a list of all current, fixed, and dismissed alerts found by CodeQL.
A CodeQL database is used internally during scanning but does not display results. Query packs contain rules, not results. Security advisories are for published vulnerabilities, not per-repo findings.


NEW QUESTION # 29
A dependency has a known vulnerability. What does the warning message include?

Answer: A

Explanation:
Where a dependency has a known vulnerability, the warning message includes:
A brief description of the vulnerability.
A Common Vulnerabilities and Exposures (CVE) or GitHub Security Advisories (GHSA) identification number. You can click this ID to find out more about the vulnerability.
The severity of the vulnerability.
The version of the dependency in which the vulnerability was fixed. If you are reviewing a pull request for someone, you might ask the contributor to update the dependency to the patched version, or a later release.


NEW QUESTION # 30
Hotspot Question
You have a GitHub Enterprise Cloud repository named Repo1 that uses GitHub Advanced Security code scanning with CodeQL advanced setup. Repo1 stores JavaScript and Python source code and a workflow named Workflow1. Workflow1 uses matrix.language to analyze each programming language in parallel.
You perform the following actions:
- Define additional query packs for each language by using a custom
CodeQL configuration file.
- In Workflow1A, ad security-and-quality and packs: scope/pack1 queries directly to github/codeql-action/init@v4.
You discover that the additional query packs from the custom configuration file no longer run.
You need to ensure that CodeQL runs the security-and-quality query suite and the additional query packs defined in the configuration file for both languages.
How should you configure github/codeql-action/init@v4? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: queries: security-and-quality
To combine workflow queries with configuration-file queries, set the query input to:
To run the security-and-quality suite along with both the workflow packs and the custom configuration-file packs for both matrix languages, modify your github/codeql-action/init@v4 block as follows:
- name: Initialize CodeQL
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
queries: security-and-quality
config-file: .github/codeql/codeql-config.yml # Path to your custom config file packs: +scope/pack1 Box 2: packs: +scope/pack1 To combine workflow packs with configuration-file packs set the pack input to:
To combine query packs specified in the GitHub Actions workflow with those defined in a custom configuration file, you must prefix the pack name in your workflow with a plus sign (+).Setting packs: +scope/pack1 tells CodeQL to append this pack to any additional packs already defined inside the custom configuration file instead of overriding them.
Reference:
https://docs.github.com/enterprise-server@3.21/code-security/reference/code-scanning/workflow-configuration-options


NEW QUESTION # 31
You have a GitHub Enterprise Cloud Organization.
You enable secret scanning alerts and secret scanning push protection across all repositories.
You review the alerts by using the Overview dashboard of security overview in the GitHub interface.
You need to identify only the secret scanning alerts that were generated when push protection was bypassed.
Which filter should you use?

Answer: A

Explanation:
The filter that applies here is secret-scanning-push_protection.bypassed:true.
When navigating the Overview dashboard of the organization-level or enterprise-level security overview, filters must include the name of the feature to scope down the global metrics.
secret-scanning-push_protection.bypassed:true: This is the correct macro filter required by the global Overview dashboard to target secrets that bypassed push protection across all scoped repositories.
Incorrect:
bypassed:true: While this variant works when you are already viewing individual repository alert pages or the dedicated Secret Scanning alert view specifically, it is not the standard multi-feature filter key on the primary Overview page.
[Not C, Not D]
push_protection.bypassed:true and bypassed.secret-scanning:true: These syntax variations do not conform to GitHub's formal search qualifier layout for the main Security Overview dashboard.
Reference:
https://docs.github.com/es/enterprise-server@3.21/code-security/reference/security-at-scale/overview-dashboard-filters


NEW QUESTION # 32
You are a maintainer of a repository and Dependabot notifies you of a vulnerability. Where could the vulnerability have been disclosed? (Each answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
Comprehensive and Detailed Explanation:
Dependabot alerts are generated based on data from various sources:
National Vulnerability Database (NVD): A comprehensive repository of known vulnerabilities, which GitHub integrates into its advisory database.
GitHub Docs
Security Advisories Reported on GitHub: GitHub allows maintainers and security researchers to report and discuss vulnerabilities, which are then included in the advisory database.
The dependency graph and manifest/lock files are tools used by GitHub to determine which dependencies are present in a repository but are not sources of vulnerability disclosures themselves.


NEW QUESTION # 33
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