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Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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.
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.
Topic 3
  • 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 4
  • 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 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 (Q118-Q123):

NEW QUESTION # 118
A repository's dependency graph includes:

Answer: C

Explanation:
The dependency graph includes all the dependencies of a repository that are detailed in the manifest and lock files, or their equivalent, for supported ecosystems, as well as any dependencies that are submitted using the dependency submission API. This includes:
Direct dependencies, that are explicitly defined in a manifest or lock file or have been submitted using the dependency submission API.
Indirect dependencies of these direct dependencies, also known as transitive dependencies or sub-dependencies.


NEW QUESTION # 119
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: B,C,D

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.


NEW QUESTION # 120
After looking into an injection code scanning alert, you notice that the input is properly sanitized with custom logic. Which of the following is the next step?

Answer: D

Explanation:
Dismissing alerts
There are two ways of closing an alert. You can fix the problem in the code, or you can dismiss the alert.
Dismissing an alert is a way of closing an alert that you don't think needs to be fixed. For example, an error in code that's used only for testing, or when the effort of fixing the error is greater than the potential benefit of improving the code. You can dismiss alerts from code scanning annotations in code, or from the summary list within the Security tab.
If you dismiss a CodeQL alert as a false positive result, for example because the code uses a sanitization library that isn't supported, consider contributing to the CodeQL repository and improving the analysis.


NEW QUESTION # 121
Which of the following would raise secret scanning alerts?

Answer: C

Explanation:
A GitHub personal access token (PAT) is a credential and is therefore a type of value that secret scanning is designed to detect. GitHub supports patterns for GitHub-issued tokens and can generate secret scanning alerts when supported PAT formats are committed to repositories. GitHub also performs validity checks for certain GitHub tokens and can distinguish active from inactive credentials. SQL injection, cross-site scripting, and server-side request forgery are application vulnerabilities rather than exposed credentials; those issues are detected through code scanning tools such as CodeQL. The distinction is important: secret scanning looks for credentials, API keys, passwords, tokens, and similar sensitive values, whereas code scanning analyzes source code for insecure programming patterns. Therefore, only the GitHub PAT belongs to secret scanning.


NEW QUESTION # 122
Which CodeQL query suite provides queries of lower severity than the default query suite?

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 # 123
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