New GH-500 Study Guide - GH-500 Latest Study Materials

DOWNLOAD the newest ValidVCE GH-500 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1HC3-fRHRhUEQSukyI7xSxI7vKhS1pwoy

In the information era, IT industry is catching more and more attention. In the society which has a galaxy of talents, there is still lack of IT talents. Many companies need IT talents, and generally, they investigate IT talents's ability in according to what IT related authentication certificate they have. So having some IT related authentication certificate is welcomed by many companies. But these authentication certificate are not very easy to get. Microsoft GH-500 is a quite difficult certification exams. Although a lot of people participate in Microsoft GH-500 exam, the pass rate is not very high.

Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Advanced Security
Exam Number:GH-500
Available Languages:Spanish, French, Japanese, English, German, Korean, Chinese (Simplified)
Real Exam Qty:40-60
Passing Score:700 out of 1000
Related Certifications:GitHub Advanced Security Certification
Exam Format:Drag and drop, Multiple choice, Case study
Exam Duration:120 minutes
Exam Price:$165 USD
Certificate Validity Period:1 year
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online (Proctored) or In-person at a testing center
Pre Condition:No mandatory prerequisites. Recommended to have experience with GitHub and basic understanding of security concepts.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-advanced-security/

>> New GH-500 Study Guide <<

Get Latest New GH-500 Study Guide and High Hit Rate GH-500 Latest Study Materials

To get GH-500 exam certification, you will strive for a further improvement. When you choose ValidVCE, it will help you pass GH-500 certification exam. If you buy ValidVCE's GH-500 Exam Dumps, we guarantee you will pass GH-500 test with 100%. After you select our GH-500 exam training materials, we will also provide one year free renewal service.

Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • 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 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.
Topic 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q40-Q45):

NEW QUESTION # 40
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?

Answer: A

Explanation:
Secret validation checks whether a secret found in your repository is still valid and active with the issuing provider (e.g., AWS, GitHub, Stripe). If a secret is confirmed to be active, the alert is marked as verified, which means it's considered a high-priority issue because it presents an immediate security risk.
This helps teams respond faster to valid, exploitable secrets rather than wasting time on expired or fake tokens.


NEW QUESTION # 41
Assuming there is no custom Dependabot behavior configured, where possible, what does Dependabot do after sending an alert about a vulnerable dependency in a repository?

Answer: D

Explanation:
In repositories where Dependabot security updates are enabled, when GitHub detects a vulnerable dependency in the default branch, Dependabot creates a pull request to fix it. The pull request will upgrade the dependency to the minimum possible secure version needed to avoid the vulnerability.


NEW QUESTION # 42
How would you build your code within the CodeQL analysis workflow? (Each answer presents a complete solution. Choose two.)

Answer: A,F

Explanation:
Comprehensive and Detailed Explanation:
When setting up CodeQL analysis for compiled languages, there are two primary methods to build your code:
GitHub Docs
Autobuild: CodeQL attempts to automatically build your codebase using the most likely build method. This is suitable for standard build processes.
GitHub Docs
Custom Build Steps: For complex or non-standard build processes, you can implement custom build steps by specifying explicit build commands in your workflow. This provides greater control over the build process.
GitHub Docs
The init action initializes the CodeQL analysis but does not build the code. The jobs.analyze.runs-on specifies the operating system for the runner but is not directly related to building the code. Uploading compiled binaries is not a method supported by CodeQL for analysis.
References: GitHub Docs - CodeQL code scanning for compiled languages


NEW QUESTION # 43
What step is required to run a SARIF-compatible (Static Analysis Results Interchange Format) tool on GitHub Actions?

Answer: D

Explanation:
About SARIF file uploads for code scanning
GitHub creates code scanning alerts in a repository using information from Static Analysis Results Interchange Format (SARIF) files. SARIF files can be uploaded to a repository using the API or GitHub Actions.
You can upload the results using GitHub Actions, the code scanning API, or the CodeQL CLI.
The best upload method will depend on how you generate the SARIF file, for example, if you use:
* GitHub Actions to run the CodeQL action, there is no further action required. The CodeQL action uploads the SARIF file automatically when it completes analysis.
* GitHub Actions to run a SARIF-compatible analysis tool, you could update the workflow to include a final step that uploads the results.
Uploading a code scanning analysis with GitHub Actions
To use GitHub Actions to upload a third-party SARIF file to a repository, you'll need a workflow.
Your workflow will need to use the upload-sarif action, which is part of the github/codeql-action repository. It has input parameters that you can use to configure the upload.
* The CodeQL CLI to run code scanning in your CI system, you can use the CLI to upload results to GitHub


NEW QUESTION # 44
Which of the following statements most accurately describes push protection for secret scanning custom patterns?

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
Push protection for secret scanning custom patterns is an opt-in feature. This means that for each custom pattern defined in a repository, maintainers can choose to enable or disable push protection individually. This provides flexibility, allowing teams to enforce push protection on sensitive patterns while leaving it disabled for others.
References: GitHub Docs - Working with push protection from the command line


NEW QUESTION # 45
......

GH-500 Latest Study Materials: https://www.validvce.com/GH-500-exam-collection.html

What's more, part of that ValidVCE GH-500 dumps now are free: https://drive.google.com/open?id=1HC3-fRHRhUEQSukyI7xSxI7vKhS1pwoy