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| Topic | Details |
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| Topic 1 | - 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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| Topic 2 | - 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 3 | - 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 4 | - 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 5 | - 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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Microsoft GitHub Advanced Security Sample Questions (Q107-Q112):
NEW QUESTION # 107
What classification is used to categorize Dependabot alerts? Each correct answer presents part of the solution. (Choose three.)
- A. GitHub Security Advisory ID (GHSA)
- B. Static Application Security Testing (SAST)
- C. Common Weakness Enumeration (CWE)
- D. Common Vulnerabilities and Exposures (CVE)
- E. Exploit Prediction Scoring System (EPSS)
Answer: C,D,E
Explanation:
[CE]
For enterprise organizations, GitHub's auto-triage rules help provide consistent management of security alerts at scale across multiple teams and repositories.
Auto-triage rules allow you to create custom criteria for automatically handling alerts based on factors like severity, EPSS [C], scope, package name, CVE[E], ecosystem, and manifest location.
You can create your own custom rules to control how Dependabot auto-dismisses and reopens alerts, so you can focus on the alerts that matter.
[D]
Common Weakness Enumeration (CWE) is used by CodeQL to describe the vulnerabilities it detects in code scanning alerts. CodeQL's queries are designed to identify a wide range of weaknesses, and each security query is associated with one or more specific CWEs, providing developers with standardized identifiers for the types of vulnerabilities found.
By associating alerts with CWEs, CodeQL provides a structured and informative approach to vulnerability management, making it easier for development teams to understand, address, and prevent security issues.
Note: The Common Weakness Enumeration (CWE) system is an industry-standard way of cataloging insecure software development patterns. CodeQL runs hundreds of queries out of the box that are able to detect an even greater number of CWEs. We went back through our existing queries, and aligned dozens of them with updated CWE IDs to give users better insight into the potential impact of a security issue when an alert is flagged up by code scanning.
Incorrect:
[Not A]
GitHub Advisories (GHSA) is a database of CVEs and GitHub-originated security advisories affecting the open source world. Advisories may or may not be documented in the National Vulnerability Database. Dependency-Track integrates with GHSA by mirroring advisories via GitHub's public GraphQL API.
NEW QUESTION # 108
What is the first step you should take to fix an alert in secret scanning?
- A. Remove the secret in a commit to the main branch.
- B. Revoke the alert if the secret is still valid.
- C. Archive the repository.
- D. Update your dependencies.
Answer: B
Explanation:
Resolving alerts from secret scanning
After reviewing the details of a secret scanning alert, you should fix and then close the alert.
Fixing alerts
Once a secret has been committed to a repository, you should consider the secret compromised.
GitHub recommends the following actions for compromised secrets:
Verify that the secret committed to GitHub is valid.
Review and update any services that use the old token. For GitHub personal access tokens, delete the compromised token and create a new token.
Depending on the secret provider, check your security logs for any unauthorized activity.
NEW QUESTION # 109
You are configuring a CodeQL workflow for compiled languages. What happens if your workflow uses a language matrix?
- A. Analysis of other languages in your repository will fail unless you supply explicit build commands.
- B. Autobuild attempts to build each of the languages listed in the matrix.
- C. You may need to install additional software to use the autobuild process.
- D. Autobuild attempts to build the supported language that has the most source files in the repository.
Answer: B
Explanation:
If your workflow uses a language matrix, autobuild attempts to build each of the compiled languages listed in the matrix. Without a matrix autobuild attempts to build the supported compiled language that has the most source files in the repository. With the exception of Go, analysis of other compiled languages in your repository will fail unless you supply explicit build commands.
Note:
CodeQL build modes
The CodeQL action supports three different build modes for compiled languages:
none - the CodeQL database is created directly from the codebase without building the codebase (supported for all interpreted languages, and additionally supported for C/C++, C# and Java).
autobuild - CodeQL detects the most likely build method and uses this to attempt to build the codebase and create a database for analysis (supported for all compiled languages).
manual - you define the build steps to use for the codebase in the workflow (supported for all compiled languages, except Rust).
NEW QUESTION # 110
Where is secret scanning enabled on a private repository?
- A. within a secret.yml file in the repository
- B. in the code security settings
- C. within a repository ruleset
- D. in the code scanning default set up settings
Answer: B
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 # 111
When using CodeQL, how does extraction for compiled languages work?
- A. By resolving dependencies to give an accurate representation of the codebase
- B. By generating one language at a time
- C. By running directly on the source code
- D. By monitoring the normal build process
Answer: D
Explanation:
For compiled languages, CodeQL performs extraction by monitoring the normal build process. This means it watches your usual build commands (like make, javac, or dotnet build) and extracts the relevant data from the actual build steps being executed. CodeQL uses this information to construct a semantic database of the application.
This approach ensures that CodeQL captures a precise, real-world representation of the code and its behavior as it is compiled, including platform-specific configurations or conditional logic used during build.
NEW QUESTION # 112
......
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