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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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
  • 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 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 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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Microsoft GitHub Advanced Security Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which alerts do you see in the repository's Security tab? Each answer presents part of the solution. (Choose three.)

Answer: A,C,E

Explanation:
You can find security alerts from Dependabot, Secret scanning, and Code scanning under your repository's Security tab.


NEW QUESTION # 54
Where can you find the vulnerable dependencies that GitHub detected in your repository?

Answer: C

Explanation:
Identifying vulnerabilities in your project's dependencies with Dependabot alerts Dependabot generates Dependabot alerts when known vulnerabilities are detected in dependencies that your project uses.
Dependabot alerts tab
If GitHub discovers insecure dependencies in your project, you can view details on the Dependabot alerts tab of your repository. Then, you can update your project to resolve or dismiss the alert.


NEW QUESTION # 55
You are configuring a CodeQL workflow for compiled languages. What happens if your workflow uses a language matrix?

Answer: C

Explanation:
If your workflow uses a language matrix, autobuild attempts to build each of the compiled languages listed in the matrix. Without a matrix autobuild attempts to build the supported compiled language that has the most source files in the repository. With the exception of Go, analysis of other compiled languages in your repository will fail unless you supply explicit build commands.
Note:
CodeQL build modes
The CodeQL action supports three different build modes for compiled languages:
none - the CodeQL database is created directly from the codebase without building the codebase (supported for all interpreted languages, and additionally supported for C/C++, C# and Java).
autobuild - CodeQL detects the most likely build method and uses this to attempt to build the codebase and create a database for analysis (supported for all compiled languages).
manual - you define the build steps to use for the codebase in the workflow (supported for all compiled languages, except Rust).


NEW QUESTION # 56
As a repository owner, you do not want to run a GitHub Actions workflow when changes are made to any .txt or markdown files. How would you adjust the event trigger for a pull request that targets the main branch?
(Each answer presents part of the solution. Choose three.)
* on:
* pull_request:
* branches: [main]

Answer: C,D,E

Explanation:
To exclude .txt and .md files from triggering workflows on pull requests to the main branch:
* on: defines the event (e.g., pull_request)
* pull_request: is the trigger
* paths-ignore: is the key used to ignore file patterns
Example YAML:
yaml
CopyEdit
on:
pull_request:
branches:
- main
paths-ignore:
- '*.md'
- '*.txt'
Using paths: would include only specific files instead - not exclude. paths-ignore: is correct here.
: GitHub Docs - Workflow Syntax for GitHub Actions


NEW QUESTION # 57
Where can you find the vulnerable dependencies that GitHub detected in your repository?

Answer: C

Explanation:
Known vulnerable dependencies detected in a repository are presented as Dependabot alerts. GitHub uses the dependency graph to determine which packages and versions the repository depends on and compares that information with vulnerability data from the GitHub Advisory Database. When a match is found, an alert appears in the repository's Security and quality area under Dependabot vulnerabilities. Each alert can provide the affected dependency, vulnerability details, severity, the affected manifest or lockfile, and a secure version when one is available. Secret scanning alerts relate to exposed credentials, while code scanning alerts represent vulnerabilities or coding errors in source code. Security advisories are vulnerability records and disclosure mechanisms rather than the repository-specific list of vulnerable dependencies.


NEW QUESTION # 58
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