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Microsoft GH-500 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: GitHub Security suites administration10–15%- Monitor usage, compliance, and audit logs
- Plan deployment and rollout strategies
- Configure organization and repository policies
- Manage access and licensing for GHAS
Topic 2: Describe GitHub Security suites, features, and ecosystem15–20%- Understand GitHub Security suites and architecture
- Compare prevention-first vs gate-based security strategies
- Describe suite structure, navigation, and end-to-end secure SDLC
- Explain security campaigns and risk reduction
Topic 3: Configure and use Secret Protection15–20%- Prevent secret exposure and manage push protection
- Enable and configure at repository and organization levels
- Contrast behavior between public and private/enterprise repositories
- Configure settings and feature availability
Topic 4: Configure and use Code Security10–15%- Set up and enable code scanning
- Configure workflows, templates, and scan frequency
- Integrate with GitHub Actions or external CI systems
- Analyze, triage, and remediate scan results
Topic 5: Configure and use supply chain security15–20%- Enable and configure Dependabot and dependency updates
- Configure Dependency Review and enforce policies
- Manage license compliance and security policies
- Analyze dependency risks and vulnerabilities
Topic 6: Security operations: best practices, prioritization, and remediation15–20%- Document and track security improvements
- Prioritize risks based on severity, impact, and context
- Detect, manage, and respond to security alerts
- Apply remediation workflows and automation

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Microsoft GitHub Advanced Security Sample Questions (Q18-Q23):

NEW QUESTION # 18
When using the advanced CodeQL code scanning setup, what is the name of the workflow file?

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
In the advanced setup for CodeQL code scanning, GitHub generates a workflow file named codeql-analysis.yml. This file is located in the .github/workflows directory of your repository. It defines the configuration for the CodeQL analysis, including the languages to analyze, the events that trigger the analysis, and the steps to perform during the workflow.


NEW QUESTION # 19
Assuming dependabot.yml does not exist in the repository, how many reviewers would Dependabot automatically assign to an open pull request?

Answer: C

Explanation:
By default, Dependabot creates pull requests without automatically assigning any reviewers, so the correct number is zero. Reviewers can be configured explicitly through Dependabot configuration or assigned through repository mechanisms such as CODEOWNERS. GitHub recommends using appropriate ownership and review processes when particular teams should review dependency updates. This default differs from Dependabot's ability to create pull requests automatically: creating the update does not imply that a reviewer is selected automatically. A repository can customize Dependabot behavior through .github/dependabot.yml, including configuration related to update handling, but in the scenario specified there is no such configuration file. Consequently, no individual reviewer is automatically attached to the Dependabot pull request merely because Dependabot created it.


NEW QUESTION # 20
What is required to trigger code scanning on a specified branch?

Answer: C

Explanation:
Scanning on push
By default, the CodeQL analysis workflow uses the on:push event to trigger a code scan on every push to the default branch of the repository and any protected branches. For code scanning to be triggered on a specified branch, the workflow must exist in that branch. For more information, see Workflow syntax for GitHub Actions.


NEW QUESTION # 21
What does a CodeQL database of your repository contain?

Answer: D

Explanation:
CodeQL databases contain queryable data extracted from a codebase, for a single language at a particular point in time. The database contains a full, hierarchical representation of the code, including a representation of the abstract syntax tree, the data flow graph, and the control flow graph.
Each language has its own unique database schema that defines the relations used to create a database. The schema provides an interface between the initial lexical analysis during the extraction process, and the actual complex analysis using CodeQL. The schema specifies, for instance, that there is a table for every language construct.
For each language, the CodeQL libraries define classes to provide a layer of abstraction over the database tables. This provides an object-oriented view of the data which makes it easier to write queries.


NEW QUESTION # 22
When using CodeQL, what extension stores query suite definitions?

Answer: C

Explanation:
Query suite definitions in CodeQL are stored using the .qls file extension. A query suite defines a collection of queries to be run during an analysis and allows for grouping them based on categories like language, security relevance, or custom filters.
In contrast:
* .ql files are individual queries.
* .qll files are libraries used by .ql queries.
* .yml is used for workflows, not query suites.
: GitHub Docs - CodeQL Query Suite Files


NEW QUESTION # 23
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