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NEW QUESTION # 30
What should you do after receiving an alert about a dependency added in a pull request?

• A. Disable Dependabot alerts for all repositories owned by your organization.
• B. Deploy the code to your default branch.
• C. Update the vulnerable dependencies before the branch is merged.
• D. Fork the branch and deploy the new fork.

Answer: C

Explanation:
Reviewing dependency changes in a pull request
If a pull request contains changes to dependencies, you can view a summary of what has changed and whether there are known vulnerabilities in any of the dependencies.
Reviewing and fixing alerts
It's important to ensure that all of your dependencies are clean of any security weaknesses.
When Dependabot discovers vulnerabilities in your dependencies, you should assess your project's level of exposure and determine what remediation steps to take to secure your application.
If a patched version of the dependency is available, you can generate a Dependabot pull request to update this dependency directly from a Dependabot alert. If you have Dependabot security updates enabled, the pull request may be linked in the Dependabot alert.

NEW QUESTION # 31
What are Dependabot security updates?

• A. automated pull requests to update the manifest to the latest version of the dependency
• B. compatibility scores to let you know whether updating a dependency could cause breaking changes to your project
• C. automated pull requests that keep your dependencies updated, even when they don't have any vulnerabilities
• D. automated pull requests that help you update dependencies that have known vulnerabilities

Answer: D

Explanation:
Dependabot security updates are a feature that automatically generates pull requests to update vulnerable dependencies in your repositories. This helps you keep your projects secure by addressing known vulnerabilities in your project's dependencies. When Dependabot detects a vulnerable dependency, it creates a pull request to update the dependency to a secure version, streamlining the process of patching vulnerabilities.
Note:
Automated Pull Requests:
Dependabot automatically creates pull requests when it identifies a security vulnerability in your project's dependencies.
Vulnerable Dependency Updates:
These pull requests are specifically designed to update the vulnerable dependency to the latest secure version or a version that includes the necessary security patches.

NEW QUESTION # 32
You have a GitHub Enterprise Cloud Organization that uses GitHub Advanced Security code scanning with CodeQL advanced setup.
The security engineering team at your company maintains a private repository named Repo1 that stores custom CodeQL queries and query suites for multiple languages.
You discover that changes to the custom queries can introduce noisy results and break existing tests. The regressions are detected only after the queries are deployed to production repositories.
You add a workflow step that runs CodeQL query tests on every pull request (PR). The step runs the following CodeQL CLI command.
codeql test run ./tests
You need to ensure that the workflow fails when query tests detect regressions.
What should you configure in the workflow?

• A. Always return exit code .
• B. Configure the step to continue on error.
• C. Return a non-zero exit code on test failures.
• D. Always mark the step as successful.

Answer: C

Explanation:
To ensure that the GitHub Actions workflow fails when query tests detect regressions, you must configure the command or step to return a non-zero exit code on test failures.
By default, the codeql test run command executes unit tests by comparing the query output against expected .expected files.
Default Behavior: If any tests fail (meaning actual results deviate from the expected results), the CodeQL CLI natively emits a non-zero exit code (typically 1).
CI Integration: In GitHub Actions, any step that executes a command returning a non-zero exit code will automatically fail the step and halt the workflow.
The Risk: If the workflow is configured to suppress errors (e.g., using || true in a shell script, wrapping it in an accidental error-ignoring configuration, or setting continue-on-error: true at the step level), it will mask the failure by returning an exit code of 0.
Reference:
https://github.com/advanced-security/codeql-development-template/blob/main/resources/cli/qlt/qlt_test_run_execute-unit-tests.prompt.md

NEW QUESTION # 33
When using CodeQL, what extension stores query suite definitions?

• A. .yml
• B. .ql
• C. .qls
• D. .qll

Answer: C

Explanation:
Query suite definitions in CodeQL are stored using the .qls file extension. A query suite defines a collection of queries to be run during an analysis and allows for grouping them based on categories like language, security relevance, or custom filters.
In contrast:
.ql files are individual queries.
.qll files are libraries used by .ql queries.
.yml is used for workflows, not query suites.

NEW QUESTION # 34
The autobuild step in the CodeQL workflow has failed. What should you do?

• A. Compile the source code.
• B. Use CodeQL, which implicitly detects the supported languages in your code base.
• C. Remove specific build steps.
• D. Remove the autobuild step from your code scanning workflow and add specific build steps.

Answer: D

Explanation:
If autobuild fails (which attempts to automatically detect how to build your project), you should disable it in your workflow and replace it with explicit build commands, using steps like run: make or run: ./gradlew build.
This ensures CodeQL can still extract and analyze the code correctly.

NEW QUESTION # 35
What is the best method to ensure all new code is scanned for vulnerabilities?

• A. Configure code scanning.
• B. Configure code owners.
• C. Set up a security policy.
• D. Add the extended suite.

Answer: A

Explanation:
Configuring automated code scanning integrated into a CI/CD pipeline is the best method to ensure new code is scanned for vulnerabilities because it identifies weaknesses early in the development lifecycle, preventing them from reaching production. This approach provides continuous, hands-off scanning as code is committed or merged, offering immediate feedback to developers and reducing the cost of fixing issues.

NEW QUESTION # 36
How would you build your code within the CodeQL analysis workflow? Each answer presents a complete solution. (Choose two.)

• A. Use jobs.analyze.runs-on.
• B. Upload compiled binaries.
• C. Ignore paths.
• D. Use CodeQL's autobuild action.
• E. Use CodeQL's init action.
• F. Implement custom build steps.

Answer: D,E

Explanation:
[B] Build Modes
The CodeQL Action supports different build modes for analyzing the source code. The available build modes are:
none: The database will be created without building the source code. Available for all interpreted languages and some compiled languages.
*-> autobuild: The database will be created by attempting to automatically build the source code.
Available for all compiled languages.
manual: The database will be created by building the source code using a manually specified build command. To use this build mode, specify manual build steps in your workflow between the init and analyze steps. Available for all compiled languages.
[D] Actions
This repository contains several actions that enable you to analyze code in your repository using CodeQL and upload the analysis to GitHub Code Scanning. Actions in this repository also allow you to upload to GitHub analyses generated by any SARIF-producing SAST tool.
Actions for CodeQL analyses:
*-> init: Sets up CodeQL for analysis.
analyze: Finalizes the CodeQL database, runs the analysis, and uploads the results to Code Scanning.

NEW QUESTION # 37
Why should you dismiss a code scanning alert?

• A. If there is a production error in your code
• B. If it includes an error in code that is used only for testing
• C. If you fix the code that triggered the alert
• D. To prevent developers from introducing new problems

Answer: B

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.

NEW QUESTION # 38
Which key is required in the update settings of the Dependabot configuration file?

• A. assignees
• B. rebase-strategy
• C. package-ecosystem
• D. commit-message

Answer: C

Explanation:
Enabling Dependabot version updates
You enable Dependabot version updates by committing a dependabot.yml configuration file to your repository. If you enable the feature in your settings page, GitHub creates a basic file which you can edit, otherwise you can create the file using any file editor.
1. On GitHub, navigate to the main page of the repository.
[Steps omitted. See step 8 below]
...
7. Add an updates section, with an entry for each package manager you want Dependabot to monitor. This key is mandatory. You use it to configure how Dependabot updates the versions or your project's dependencies. Each entry configures the update settings for a particular package manager.
8. For each package manager, use:
*-> package-ecosystem to specify the package manager.
directories or directory to specify the location of multiple manifest or other definition files.
chedule.interval to specify how often to check for new versions.
9. Check the dependabot.yml configuration file in to the .github directory of the repository.

NEW QUESTION # 39
If default code security settings have not been changed at the repository, organization, or enterprise level, which repositories receive Dependabot alerts?

• A. Repositories owned by an enterprise account
• B. Private repositories
• C. None
• D. Repositories owned by an organization

Answer: C

Explanation:
By default, no repositories receive Dependabot alerts unless configuration is explicitly enabled. GitHub does not enable Dependabot alerts automatically for any repositories unless:
The feature is turned on manually
It's configured at the organization or enterprise level via security policies This includes public, private, and enterprise-owned repositories - manual activation is required.

NEW QUESTION # 40
Which of the following statements most accurately describes push protection for secret scanning custom patterns?

• A. Push protection is an opt-in experience for each custom pattern.
• B. Push protection is enabled by default for new custom patterns.
• C. Push protection is not available for custom patterns.
• D. Push protection must be enabled for all, or none, of a repository's custom patterns.

Answer: D

Explanation:
Ability to detect custom patterns: Organizations can define custom patterns for detecting secrets unique to their environment. This customization ensures that push Protection can effectively identify and block even non-standard secrets [Not C].
Customizing push protection
Once push protection is enabled, you can customize it further [Not A]:
Configure push protected patterns
Customize which secret patterns are included in push protection at the enterprise or organization level.
Define custom patterns
Define custom patterns that push protection can use to identify secrets and block pushes containing these secrets Note: You can enable push protection:
At repository/organization level, if you are a repository administrator or an organization owner.
You will see alerts in the Security tab of your repository when a contributor to the repository bypasses push protection.
For your account on GitHub, as a user. This type of push protection is referred to as "push protection for users." It protects you from pushing secrets to any public repository on GitHub, but no alerts are generated.

NEW QUESTION # 41
Which patterns are secret scanning validity checks available to?

• A. custom patterns
• B. push protection patterns
• C. high entropy strings
• D. partner patterns

Answer: A

Explanation:
Supported secrets
This table lists the secrets supported by secret scanning. You can see the types of alert that get generated for each token, as well as whether a validity check is performed on the token.
Provider: Name of the token provider.
Partner: Token for which leaks are reported to the relevant token partner. Applies to public repositories only.
*-> User: Token for which leaks are reported to users on GitHub.
Applies to public repositories, and to private repositories where GitHub Secret Protection and secret scanning are enabled.
-> Includes default tokens, which relate to supported patterns and specified *custom patterns*, as well as non-provider tokens such as private keys, which usually have a higher ratio of false positives.
For secret scanning to scan for non-provider patterns, the detection of non-provider patterns must be enabled for the repository or the organization.

NEW QUESTION # 42
Which Dependabot configuration fields are required? (Each answer presents part of the solution. Choose three.)

• A. allow
• B. directory
• C. schedule.interval
• D. milestone
• E. package-ecosystem

Answer: B,C,E

Explanation:
Comprehensive and Detailed Explanation:
When configuring Dependabot via the dependabot.yml file, the following fields are mandatory for each update configuration:
directory: Specifies the location of the package manifest within the repository. This tells Dependabot where to look for dependency files.
package-ecosystem: Indicates the type of package manager (e.g., npm, pip, maven) used in the specified directory.
schedule.interval: Defines how frequently Dependabot checks for updates (e.g., daily, weekly). This ensures regular scanning for outdated or vulnerable dependencies.
The milestone field is optional and used for associating pull requests with milestones. The allow field is also optional and used to specify which dependencies to update.
GitLab

NEW QUESTION # 43
What YAML syntax do you use to exclude certain files from secret scanning?

• A. paths-ignore:
• B. branches-ignore:
• C. decrypt_secret.sh
• D. secret scanning.yml

Answer: A

Explanation:
To exclude specific files or directories from being scanned by secret scanning in GitHub Actions, you can use the paths-ignore: key within your YAML workflow file.
This tells GitHub to ignore specified paths when scanning for secrets, which can be useful for excluding test data or non-sensitive mock content.
Other options listed are invalid:
branches-ignore: excludes branches, not files.
decrypt_secret.sh is not a YAML key.
secret scanning.yml is not a recognized filename for configuration.

NEW QUESTION # 44
In the pull request, how can developers avoid adding new dependencies with known vulnerabilities?

• A. Add Dependabot rules.
• B. Enable Dependabot alerts.
• C. Enable Dependabot security updates.
• D. Add a workflow with the dependency review action.

Answer: D

Explanation:
You can use the dependency review action to help enforce dependency reviews on pull requests in your repository. The dependency review action scans your pull requests for dependency changes and raises an error if any new dependencies have known vulnerabilities.
Note: About dependency review
Dependency review helps you understand dependency changes and the security impact of these changes at every pull request. It provides an easily understandable visualization of dependency changes with a rich diff on the "Files Changed" tab of a pull request. Dependency review informs you of:
Which dependencies were added, removed, or updated, along with the release dates How many projects use these components Vulnerability data for these dependencies Dependency review allows you to "shift left". You can use the provided predictive information to catch vulnerable dependencies before they hit production.

NEW QUESTION # 45
By default, where will secret scanning look in a repository in order to execute its job? Each correct answer presents part of the solution. (Choose three.)

• A. dependencies
• B. all branches
• C. full commit history
• D. all files in the repository
• E. selected files in the repository

Answer: B,C,E

Explanation:
Secret scanning scans your entire Git history[D] on all branches [E] present in your GitHub repository for secrets, even if the repository is archived. GitHub will also periodically run a full Git history scan for new secret types in existing content in public repositories where secret scanning is enabled [C, not A] when new supported secret types are added.
Additionally, secret scanning scans:
Descriptions and comments in issues
Titles, descriptions, and comments, in open and closed historical issues. A notification is sent to the relevant partner when a historical partner pattern is detected.
Titles, descriptions, and comments in pull requests
Titles, descriptions, and comments in GitHub Discussions Wikis

NEW QUESTION # 46
By default, which roles can enable Dependabot alerts?

• A. repository administrators
• B. outside collaborators
• C. repository maintainers
• D. security analysts

Answer: A

Explanation:
Repository administrators, organization owners, and users with write or maintain access can enable Dependabot alerts by enabling the dependency graph and Dependabot alerts in their repository's settings. Enabling Dependabot is an action that can be performed at the repository, organization, or enterprise level.
Repository Administrators: These users have access to repository settings, allowing them to enable or disable Dependabot alerts for that specific repository.

NEW QUESTION # 47
......

Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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.
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	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.
Topic 5	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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