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Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Real Exam Qty:40โ€“60
Certificate Validity Period:1 year
Exam Price:$99 USD
Passing Score:700 / 1000
Exam Format:Scenario-based, Interactive tasks, Multiple-choice
Available Languages:German, Japanese, Arabic (Saudi Arabia), Chinese (Simplified), French, Portuguese (Brazil), Korean, Spanish, English
Exam Duration:100 minutes
Recommended Training:Course GH-500T00: GitHub Advanced Security
GitHub Advanced Security Learning Path
Exam Registration:Microsoft Learn Exam Registration
Pearson VUE Scheduling
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored or onsite testing via Pearson VUE
Pre Condition:Familiarity with GitHub fundamentals, CI/CD pipelines, and secure development practices; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-500

>> GH-500 Authorized Pdf <<

Microsoft GH-500 Top Questions, GH-500 Latest Braindumps Sheet

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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
  • 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 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
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q44-Q49):

NEW QUESTION # 44
Where can you view code scanning results from CodeQL analysis?

Answer: B

Explanation:
All results from CodeQL analysis appear under the repository's code scanning alerts tab. This section is part of the Security tab and provides a list of all current, fixed, and dismissed alerts found by CodeQL.
A CodeQL database is used internally during scanning but does not display results. Query packs contain rules, not results. Security advisories are for published vulnerabilities, not per-repo findings.


NEW QUESTION # 45
Assuming that notification settings and Dependabot alert recipients have not been customized, which user account setting should you use to get an alert when a vulnerability is detected in one of your repositories?

Answer: B

Explanation:
To ensure you're notified whenever a vulnerability is detected via Dependabot, you must enable alerts for Dependabot in your personal notification settings. This applies to both new and existing repositories. It ensures you get timely alerts about security vulnerabilities.
The dependency graph must be enabled for scanning, but does not send alerts itself.
: GitHub Docs - Configuring Notifications for Dependabot Alerts


NEW QUESTION # 46
What classification is used to categorize Dependabot alerts? Each correct answer presents part of the solution. (Choose three.)

Answer: A,C,D

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 # 47
As a developer, you need to configure a code scanning workflow for a repository where GitHub Advanced Security is enabled. What minimum repository permission do you need?

Answer: C

Explanation:
Configuring advanced setup for code scanning with CodeQL
You can customize your CodeQL analysis by creating and editing a workflow file. Selecting advanced setup generates a basic workflow file for you to customize using standard workflow syntax and specifying options for the CodeQL action. See Workflows and Customizing your advanced setup for code scanning.
Using actions to run code scanning will use minutes.
Note:
You can configure code scanning for any public repository where you have write access.


NEW QUESTION # 48
You have a GitHub repository named Repo1that runs CodeQL code scanning. Repo1contains both Java and Kotlin source code. Repo1generates additional source files during compilation.
Recent alerts indicate that Kotlin files cannot be processed without a build.
You need to ensure that CodeQL analyzes both the Java files and the Kotlin files and includes the generated source files in the CodeQL database.
What should you do?

Answer: B

Explanation:
To fix this issue, you must switch your CodeQL workflow execution configuration from using the default "none" build mode to a manual build step configuration. For repositories that mix Java and Kotlin alongside dynamic code generation during compilation, explicit build commands ensure CodeQL intercepts the compilation process to catalog the generated source files and analyze the Kotlin files completely.
Update the CodeQL Initialization Language Matrix
Ensure CodeQL treats both languages as unified by specifying java-kotlin inside your initialization step.
Update the languages parameter in the github/codeql-action/init step.Use java-kotlin instead of java to instruct the extractor to capture both source formats.
- name: Initialize CodeQL
uses: github/codeql-action/init@v3
with:
languages: 'java-kotlin'
# Optional: explicitly tell CodeQL not to run default build-mode none
build-mode: 'manual'
Reference:
https://docs.github.com/en/code-security/reference/code-scanning/troubleshoot-analysis-errors/kotlin-detected-in-no-build


NEW QUESTION # 49
......

GH-500 Top Questions: https://www.dumpexam.com/GH-500-valid-torrent.html

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