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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - 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.
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| Topic 3 | - 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.
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| Topic 4 | - 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.
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| 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 (Q119-Q124):
NEW QUESTION # 119
Where is secret scanning enabled on a private repository?
- A. Within a repository ruleset
- B. In the code security settings
- C. Within a secret.yml file in the repository
- D. In the code scanning default setup settings
Answer: B
Explanation:
Secret scanning for a private repository is enabled through the repository's security configuration/settings, currently located under Settings # Security and quality # Advanced Security. In current GitHub terminology, enabling Secret Protection enables secret scanning alerts for an eligible private or internal repository.
Repository rulesets control policies such as branch protection, required checks, and merge conditions; they are not the primary mechanism for enabling secret scanning. GitHub also does not use a secret.yml file to activate the feature. Code scanning default setup configures CodeQL analysis and is separate from secret detection.
Organization owners can additionally enable Secret Protection and secret-scanning capabilities at scale by applying security configurations to repositories. Consequently, the code security or Advanced Security settings area is the correct location, making A the correct answer.
NEW QUESTION # 120
In a private repository, what minimum requirements does GitHub need to generate a dependency graph? (Each answer presents part of the solution. Choose two.)
- A. dependency graph enabled at the organization level for all new private repositories
- B. read-only access to all the repository's files
- C. write access to the dependency manifest and lock files for an enterprise
- D. read-only access to the dependency manifest and lock files for a repository
Answer: A,D
Explanation:
Configuring the dependency graph
[D] To generate a dependency graph, GitHub needs read-only access to the dependency manifest and lock files for a repository.
[B] Enabling and disabling the dependency graph
Repository administrators can enable or disable the dependency graph for all repositories owned by your user account, regardless of their visibility.
When the dependency graph is first enabled, any manifest and lock files for supported ecosystems are parsed immediately. The graph is usually populated within minutes but this may take longer for repositories with many dependencies. Once enabled, the graph is automatically updated with every push to the repository and every push to other repositories in the graph.
NEW QUESTION # 121
You have a GitHub Enterprise Cloud Organization that contains public repositories and uses GitHub Advanced Security.
You need to detect vulnerability and secrets for the repositories. The solution must minimize costs.
What should you use?
- A. code scanning, dependency review, and secret risk assessment
- B. code scanning, dependency review, and secret scanning
- C. code scanning, Copilot secret scanning, and secret scanning
- D. Copilot secret scanning, push protection, and secret risk assessment
- E. dependency review, push protection, and secret scanning
Answer: B
Explanation:
The correct answer option is code scanning, dependency review, and secret scanning.
Code Scanning: This feature uses CodeQL static analysis to evaluate your custom code for specific security flaws (e.g., SQL injections, cross-site scripting). This fulfills the requirement to detect code vulnerabilities.
Dependency Review: This caught-at-pull-request tool allows you to track changes in third-party packages, flagging introduced components that contain known open-source vulnerabilities. This handles vulnerability detection for dependencies.
Secret Scanning: This searches your entire Git history and branches to identify hardcoded credentials like API keys or tokens. This covers the mandatory requirement to detect secrets.
Low-Cost Efficiency: For public repositories, all three core GitHub Advanced Security (GHAS) features (code scanning, dependency review, and secret scanning) are provided free of charge by GitHub. Enabling them aligns perfectly with the goal of keeping financial costs minimized.
Incorrect:
[Not A, not D] (Push Protection): While push protection is a highly effective feature that proactive intercepts secrets before they enter the repository, it does not satisfy the core requirement to scan the existing code base for vulnerabilities.
[Not B, not D] (Copilot Secret Scanning): Copilot secret scanning relies on generative AI models to flag unstructured passwords. Because it requires a paid GitHub Copilot subscription, it violates the "low cost" constraint.
[Not C, not D] (Secret Risk Assessment): The secret risk assessment tool merely functions as a high-level administrative reporting dashboard to evaluate overall posture. It does not provide automated active scanning mechanisms or remediation alerts on repository pull requests.
Reference:
https://docs.github.com/en/get-started/learning-about-github/about-github-advanced-security
NEW QUESTION # 122
What is required to trigger code scanning on a specified branch?
- A. The repository must be private.
- B. The workflow file must exist in that branch.
- C. Secret scanning must be enabled on the repository.
- D. Developers must actively maintain the repository.
Answer: B
Explanation:
Comprehensive and Detailed Explanation:
For code scanning to be triggered on a specific branch, the branch must contain the appropriate workflow file, typically located in the .github/workflows directory. This YAML file defines the code scanning configuration and specifies the events that trigger the scan (e.g., push, pull_request).
Without the workflow file in the branch, GitHub Actions will not execute the code scanning process for that branch. The repository's visibility (private or public), the status of secret scanning, or the activity level of developers do not directly influence the triggering of code scanning.
NEW QUESTION # 123
A colleague ignores a code scanning alert. What are the implications of the colleague's action? (Each answer presents part of the solution. Choose three.)
- A. Sensitive information could be leaked.
- B. A dangerous argument could be passed to functions.
- C. GitHub removes the alert after sixty days.
- D. Webhooks and the code scanning API remove the alert.
- E. Data could be used insecurely.
Answer: A,B,E
Explanation:
Ignoring an unresolved code scanning alert leaves the underlying security issue present in the application.
GitHub identifies several risks through CodeQL data-flow analysis, including data being used insecurely, dangerous arguments reaching sensitive functions, and sensitive information being leaked. These are precisely the kinds of vulnerabilities for which code scanning traces data from a source to a potentially unsafe sink.
GitHub does not automatically remove an unresolved alert merely because sixty days have elapsed. Likewise, webhooks and the code scanning API can expose alert events and enable integrations, but they do not automatically eliminate the vulnerability. Proper remediation requires fixing the affected code or intentionally dismissing an alert with an appropriate reason after security review. Therefore, A, B, and E describe the relevant security implications.
NEW QUESTION # 124
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