최신버전GH-500시험대비인증덤프덤프자료는GitHub Advanced Security시험패스의가장좋은자료

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GH-500시험대비 인증덤프, GH-500최고덤프공부, GH-500최신 업데이트버전 덤프공부자료, GH-500높은 통과율 시험대비 공부자료, GH-500인증공부문제

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Microsoft GH-500 시험요강:

주제 소개
주제 1
  • 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.
주제 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.
주제 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.
주제 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.
주제 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.

>> GH-500시험대비 인증덤프 <<

GH-500시험대비 인증덤프 인기 인증 시험덤프

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최신 GitHub Administrator GH-500 무료샘플문제 (Q28-Q33):

질문 # 28
Which of the following information can be found in a repository's Security tab?

  • A. Access management
  • B. Two-factor authentication (2FA) options
  • C. Number of alerts per GHAS feature
  • D. GHAS settings

정답:C

설명:
The Security tab in a GitHub repository provides a central location for viewing security-related information, especially when GitHub Advanced Security is enabled. The following can be accessed:
Number of alerts related to:
Code scanning
Secret scanning
Dependency (Dependabot) alerts
Summary and visibility into open, closed, and dismissed security issues.
It does not show 2FA options, access control settings, or configuration panels for GHAS itself. Those belong to account or organization-level settings.


질문 # 29
You have enabled security updates for a repository. When does GitHub mark a Dependabot alert as resolved for that repository?

  • A. When the pull request checks are successful
  • B. When you dismiss the Dependabot alert
  • C. When Dependabot creates a pull request to update dependencies
  • D. When you merge a pull request that contains a security update

정답:D

설명:
A Dependabot alert is marked as resolved only after the related pull request is merged into the repository. This indicates that the vulnerable dependency has been officially replaced with a secure version in the active codebase.
Simply generating a PR or passing checks does not change the alert status; merging is the key step.


질문 # 30
Who can fix a code scanning alert on a private repository?

  • A. users who have Read permissions within the repository
  • B. users who have Write access to the repository
  • C. users who have the Triage role within the repository
  • D. users who have the security manager role within the repository

정답:B

설명:
Resolving code scanning alerts
From the security view, you can view, fix, or dismiss alerts for potential vulnerabilities or errors in your project's code.
Who can use this feature?
Users with write access
Note: Fixing an alert manually
Anyone with write permission for a repository can fix an alert by committing a correction to the code. If the repository has code scanning scheduled to run on pull requests, it's best to raise a pull request with your correction. This will trigger code scanning analysis of the changes and test that your fix doesn't introduce any new problems.


질문 # 31
What are the permissions and roles required to enable Dependabot alerts on GitHub?

  • A. Only users with write access to a repository can enable Dependabot alerts.
  • B. Only users with admin access to a repository can enable Dependabot alerts.
  • C. Any user with access to a repository can enable Dependabot alerts.
  • D. Only repository maintainers can enable Dependabot alerts.

정답:B


질문 # 32
Where can you find a deleted line of code that contained a secret value?

  • A. Dependency graph
  • B. Commits
  • C. Issues
  • D. Insights

정답:B

설명:
Secrets committed and then deleted are still accessible in the repository's Git history. To locate them, navigate to the Commits tab. GitHub's secret scanning can detect secrets in both current and historical commits, which is why remediation should also include revoking the secret, not just removing it from the latest code.


질문 # 33
......

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