Microsoft Practice Test GH-500: GitHub Advanced Security
Digital Badge Included
The GH-500 practice test is designed for experienced professionals in the field of software development and security. This practice test is designed for individuals who have a deep understanding of GitHub and its security features, as well as hands-on experience in securing software development workflows.
Why should I take the GH-500 exam?
The GH-500 certification validates your expertise in integrating Copilot as a strategic partner in complex software engineering environments. It demonstrates your ability to design and maintain large-scale, AI-assisted codebases; refine Copilot’s output through advanced prompt engineering; optimize workflows across repositories and teams; and apply Copilot’s capabilities in specialized domains such as testing, documentation, and DevOps automation.
You’ll also prove proficiency in advanced governance; configuring organization-wide policies, managing Copilot analytics and compliance controls, and leading responsible AI adoption. The GH-500 is intended for experienced developers, tech leads, and AI-DevOps professionals seeking to validate their command of Copilot’s full potential. It serves as the capstone certification in the GitHub AI-powered development pathway, building on the GH-300 and paving the way toward expert and architect-level credentials.
The GH-500 practice test includes two different modes: certification and practice mode. Certification mode allows you to assess your knowledge and discover your weak areas, with practice mode allowing you to focus on the areas that need development.
All Practice Tests, Up to 60% Off!
Choose the subscription plan that best fits your needs and enjoy full access to our entire practice tests catalog.
Start Now!
Full access to the Practice Test catalog
Get a Subscription Plan from $21.
Release Date: 10/20205
Job Role: Software Developer
Language: English
The GH-500 practice test contains 100 questions and covers the following objectives:
Domain 1: Describe the GHAS security features and functionality - 15 questions
Contrast GHAS features and their role in the security ecosystem
- Differentiate the security features that come automatically for open source projects, and what features are available when GHAS is paired with GHEC or GHES
- Describe the features and benefits of Security Overview
- Describe the differences between secret scanning and code scanning
- Describe how secret scanning, code scanning, and Dependabot create a more secure software development life cycle
- Contrast a security scenario with isolated security review and an advanced scenario, with security integrated into each step of the software development life cycle
Explain and use specific GHAS features
- Describe how vulnerable dependencies are identified (by looking at the manifest files and comparing with databases of known vulnerabilities)
- Choose how to act on alerts from GHAS
- Explain the implications of ignoring an alert
- Explain the role of a developer when they discover a security alert
- Describe the differences in access management to view alerts for different security features
- Identify where to use Dependabot alerts in the software development lifecycle
Domain 2: Configure and use secret scanning - 15 questions
Configure and use Secret Scanning
- Describe secret scanning
- Describe push protection
- Describe validity checks
- Contrast secret scanning availability for public and private repositories
- Enable secret scanning for private repositories
- Pick an appropriate response to a secret scanning alert
- Determine if an alert is generated for a given secret, pattern, or service provider
- Determine if a given user role will see secret scanning alerts and how they will be notified
Customize default secret scanning behavior
- Configure the recipients of a secret scanning alert (also includes how to provide access to members and teams other than admins)
- Exclude certain files from being scanned for secrets
- Enable custom secret scanning for a repository
Domain 3: Configure and use Dependabot and Dependency Review - 35 questions
Describe tools for managing vulnerabilities in dependencies
- Define the dependency graph
- Describe how the dependency graph is generated
- Describe what a Software Bill of Materials (SBOM) is, and the SBOM format used by GitHub
- Define a dependency vulnerability
- Describe Dependabot alerts
- Describe Dependabot security updates
- Describe Dependency Review
- Describe how alerts are generated for vulnerable dependencies (driven from the dependency graph, sourced from the GitHub Advisory Database)
- Describe the difference between Dependabot and Dependency Review
Enable and configure tools for managing vulnerable dependencies
- Identify the default settings for Dependabot alerts in public and private repositories
- Identify the permissions and roles required to enable Dependabot alerts
- Identify the permissions and roles required to view Dependabot alerts
- Enable Dependabot alerts for private repositories
- Enable Dependabot alerts for organizations
- Create a valid Dependabot configuration file to group security updates
- Create a Dependabot Rule to auto-dismiss low severity alerts until a patch is available
- Create a Dependency Review GitHub Actions workflow
- Configure license checks and custom severity thresholds in a Dependency Review workflow
- Configure notifications for vulnerable dependencies
Identify and remediate vulnerable dependencies
- Identify a vulnerable dependency from a Dependabot alert
- Identify vulnerable dependencies from a pull request
- Enable Dependabot security updates
- Remedy a vulnerability from a Dependabot alert in the Security tab (could include updating or removing the dependency)
- Remedy a vulnerability from a Dependabot alert in the context of a pull request (could include updating or removing the dependency)
- Take action on any Dependabot alerts by testing and merging pull requests
Domain 4: Configure and use Code Scanning with CodeQL - 25 questions
Use code scanning with third-party tools
- Enable code scanning for use with a third-party analysis
- Contrast the steps for using CodeQL versus third party analysis when enabling code scanning
- Contrast how to implement CodeQL analysis in a GitHub Actions workflow versus a third-party CI tool
- Upload 3rd party SARIF results via the SARIF endpoint
Describe and enable code scanning
- Describe how code scanning fits in the software development life cycle
- Contrast the frequency of code scanning workflows (scheduled versus triggered by events)
- Choose a triggering event for a given development pattern (for example, in a pull request and for specific files)
- Edit the default template for Actions workflow to fit an active, open source, production repository
- Describe how to view code scanning results from CodeQL analysis
- Troubleshoot a failing code scanning workflow using CodeQL, including creating or changing a custom configuration in the CodeQL workflow
- Follow the data flow through code using the show paths experience
- Explain the reason for a code scanning alert given documentation linked from the alert
- Determine if and why a code scanning alert needs to be dismissed
- Describe potential shortfalls in CodeQL via model of compilation and language support
- Explain the purpose of defining a SARIF category
Domain 5: Describe GitHub Advanced Security best practices, results, and how to take corrective measures - 10 questions
GitHub Advanced Security results & best practices
- Use a Common Vulnerabilities and Exposures (CVE) and Common Weakness Enumeration (CWE) to describe a GitHub Advanced Security alert and list potential remediation
- Describe the decision-making process for closing and dismissing security alerts (documenting the dismissal, making a decision based on data)
- Describe the default CodeQL query suites
- Describe how CodeQL analyzes code and produces results, including differences between compiled and interpreted language
- Determine the roles and responsibilities of development and security teams on a software development workflow
- Describe how the severity threshold for code scanning pull request status checks can be changed
- Explain how filters and sorting can be used to prioritize secret scanning remediation (validity:active)
- Explain how CodeQL & Dependency Review workflows can be enforced with Repository Rulesets
- Describe how code scanning can be configured to identify and remediate vulnerabilities earlier (scanning upon pull request)
- Describe how secret scanning can be configured to identify and remediate vulnerabilities earlier (enabling push protection)
- Describe how dependency analysis can be configured to identify and remediate vulnerabilities earlier (enable dependency review to scan upon pull request)
System Requirements