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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
  • 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
  • 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 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 (Q123-Q128):

NEW QUESTION # 123
Where is secret scanning enabled on a private repository?

Answer: C

Explanation:
About enabling secure access to private registries
If your organization uses private registries, providing code scanning and Dependabot secure access to these registries will improve code analysis and allow Dependabot to update a wider range of dependencies.
About the importance of providing access to private registries
When a repository uses code stored in a private registry, some security features need access to the registry to enable them to work effectively. Without access to all the dependencies of a repository, code scanning default setup and Dependabot are limited.
Code scanning default setup access to private registries
If you do not define access to the private registries your organization uses, then code scanning will only gather necessary data from dependencies available in public registries.
Defining registry access for code scanning default setup
You need to be an organization owner to set up access to private registries in the user interface.
You can also use the REST API with organization owner or {read,write}_org_private_registries permission.
Note:
1. On the Settings tab for the organization, scroll down to the "Security" section and select Secrets and variables.
2. In the expanded list of secrets and variables, select Private registries to display the "Private Registries" page.
3. Select New private registry to add access details for a private registry.
4. Use the URL and Type fields to define the location and type of the registry:


NEW QUESTION # 124
Why should you dismiss a code scanning alert?

Answer: C

Explanation:
You should dismiss a code scanning alert if the flagged code is not a true security concern , such as:
* Code in test files
* Code paths that are unreachable or safe by design
* False positives from the scanner
Fixing the code would automatically resolve the alert - not dismiss it. Dismissing is for valid exceptions or noise reduction.
: GitHub Docs - Dismissing Code Scanning Alerts


NEW QUESTION # 125
What action do you need to include in your workflow to upload a third-party Static Analysis Results Interchange Format (SARIF) file to a repository?

Answer: A

Explanation:
Uploading a SARIF file to GitHub
You can upload SARIF files generated outside GitHub and see code scanning alerts from third- party tools in your repository Uploading a code scanning analysis with GitHub Actions To use GitHub Actions to upload a third-party SARIF file to a repository, you'll need a workflow.
Your workflow will need to use the upload-sarif action, which is part of the github/codeql-action repository. It has input parameters that you can use to configure the upload. The main input parameters you'll use are:
sarif_file, which configures the file or directory of SARIF files to be uploaded. The directory or file path is relative to the root of the repository.
category (optional), which assigns a category for results in the SARIF file. This enables you to analyze the same commit in multiple ways and review the results using the code scanning views in GitHub. For example, you can analyze using multiple tools, and in mono-repos, you can analyze different slices of the repository based on the subset of changed files.


NEW QUESTION # 126
You are creating an application that will utilize the code scanning application programming interface (API) to export a repository's alerts into a comma separated values (CSV) file. What scope needs to be included in the GitHub token?

Answer: B

Explanation:
REST API endpoints for code scanning
OAuth app tokens and personal access tokens (classic) need the security_events or repos cope to use this endpoint with private or public repositories, or the public_repo scope to use this endpoint with only public repositories.


NEW QUESTION # 127
Which of the following features can be used to enforce passing status checks for code scanning and dependency review workflows?

Answer: C

Explanation:
Repository rulesets provide centralized enforcement of repository policies before changes can be merged.
Rulesets can require workflows or status checks to succeed, and GitHub specifically supports security- oriented enforcement such as dependency review and code scanning merge protection. For dependency review, an organization can require the dependency review workflow through a ruleset so that vulnerable dependency changes prevent merging. Code scanning rulesets can likewise require acceptable code scanning results and define alert thresholds. "Security GuardRails" and "status enforcement" are not GitHub repository features with the functionality described here, while Insights is primarily used for repository statistics and reporting. Therefore, repository rulesets provide the policy mechanism needed to enforce these security gates before code reaches protected branches.


NEW QUESTION # 128
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