GH-500 – Q&A PDF Exam

Description

The GH-500 exam, officially titled GitHub Advanced Security, is a Microsoft certification that validates an individual’s expertise in securing software development workflows using GitHub’s advanced security features. It is designed for experienced professionals in software development and security who have a deep understanding of GitHub and its security capabilities. Key Details: Focus: Securing GitHub repositories, managing vulnerabilities, and integrating security practices throughout the software development lifecycle. Audience: System administrators, software developers, application administrators, and IT professionals with intermediate-level experience in GitHub Enterprise Administration. Skills Measured: Code scanning, secret scanning, dependency review, and security management practices within GitHub. Exam Format: The exam includes a variety of question types, such as case studies, short answers, multiple choice, and more. Passing Score: A score of 700 or greater is required to pass. Languages: The exam is available in English, Japanese, Chinese (Simplified), and Korean. Cost: The exam costs USD $165, including taxes. Exam Design Audience Profile This exam is designed for system administrators, software developers, application administrators, and IT professionals with intermediate-level experience in GitHub Enterprise Administration. Skills Measured NOTE: The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam. NOTE: Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used. Domain 1: Describe the GHAS security features and functionality (15%) 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%) 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%) 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%) 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%) 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) Sample Question And Answers QUESTION 1 “ [Configure and Use Code Scanning] After investigating a code scanning alert related to injection, you determine that the input is properly sanitized using custom logic. What should be your next step? A. Draft a pull request to update the open-source query. B. Ignore the alert. C. Open an issue in the CodeQL repository. D. Dismiss the alert with the reason “false positive.” Answer: D Explanation: When you identify that a code scanning alert is a false positive”such as when your code uses a custom sanitization method not recognized by the analysis”you should dismiss the alert with the reason “false positive.” This action helps improve the accuracy of future analyses and maintains the relevance of your security alerts. As per GitHub’s documentation: “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.” By dismissing the alert appropriately, you ensure that your codebase’s security alerts remain actionable and relevant. QUESTION 2 “ [Configure and Use Dependency Management] When does Dependabot alert you of a vulnerability in your software development process? A. When a pull request adding a vulnerable dependency is opened B. As soon as a vulnerable dependency is detected C. As soon as a pull request is opened by a contributor D. When Dependabot opens a pull request to update a vulnerable dependency Answer: B Explanation: Dependabot alerts are generated as soon as GitHub detects a known vulnerability in one of your dependencies. GitHub does this by analyzing your repositorys dependency graph and matching it against vulnerabilities listed in the GitHub Advisory Database. Once a match is found, the system raises an alert automatically without waiting for a PR or manual action. This allows organizations to proactively mitigate vulnerabilities as early as possible, based on realtime detection. Reference: GitHub Docs “ About Dependabot alerts; Managing alerts in GitHub Dependabot QUESTION 3 “ [Configure and Use Dependency Management] Which of the following is the most complete method for Dependabot to find vulnerabilities in thirdparty dependencies? A. Dependabot reviews manifest files in the repository B. CodeQL analyzes the code and raises vulnerabilities in third-party dependencies C. A dependency graph is created, and Dependabot compares the graph to the GitHub Advisory database D. The build tool finds the vulnerable dependencies and calls the Dependabot API Answer: C Explanation: Dependabot builds a dependency graph by analyzing package manifests and lockfiles in your repository. This graph includes both direct and transitive dependencies. It then compares this graph against the GitHub Advisory Database, which includes curated, security-reviewed advisories. This method provides a comprehensive and automated way to discover all known vulnerabilities across your dependency tree. Reference: GitHub Docs “ About the dependency graph; About Dependabot alerts QUESTION 4 “ [Describe the GHAS Security Features and Functionality] What is a security policy? A. An automatic detection of security vulnerabilities and coding errors in new or modified code B. A security alert issued to a community in response to a vulnerability C. A file in a GitHub repository that provides instructions to users about how to report a security vulnerability D. An alert about dependencies that are known to contain security vulnerabilities Answer: C Explanation: A security policy is defined by a SECURITY.md file in the root of your repository or .github/ directory. This file informs contributors and security researchers about how to responsibly report vulnerabilities. It improves your projects transparency and ensures timely communication and mitigation of any reported issues. Adding this file also enables a oeReport a vulnerability button in the repositorys Security tab. Reference: GitHub Docs “ Adding a security policy to your repository QUESTION 5 “ [Configure GitHub Advanced Security Tools in GitHub Enterprise] As a repository owner, you want to receive specific notifications, including security alerts, for an individual repository. Which repository notification setting should you use? A. Ignore B. Participating and @mentions C. All Activity D. Custom Answer: D Explanation: Using the Custom setting allows you to subscribe to specific event types, such as Dependabot alerts or vulnerability notifications, without being overwhelmed by all repository activity. This is essential for repository maintainers who need fine-grained control over what kinds of events trigger notifications. This setting is configurable per repository and allows users to stay aware of critical issues while minimizing notification noise. Reference: GitHub Docs “ Configuring notifications; Managing security alerts Make The Best Choice Chose – Joogate Make yourself more valuable in today’s competitive computer industry Joogate’s preparation material includes the most excellent features, prepared by the same dedicated experts who have come together to offer an integrated solution. We provide the most excellent and simple method to pass your Microsoft Microsoft GitHub Certifications GH-500 exam on the first attempt . will prepare you for your exam effectively. GH-500 Study Guide. Your exam will download as a single GH-500 PDF or complete GH-500 preparation material as well as over +4000 other technical exam PDF and study material downloads. 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