Microsoft GH-500최고품질덤프문제, GH-500인기공부자료

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Microsoft GH-500인증시험은 전문적인 관련지식을 테스트하는 인증시험입니다. Itcertkr는 여러분이Microsoft GH-500인증시험을 통과할 수 잇도록 도와주는 사이트입니다. 여러분은 응시 전 저희의 문제와 답만 잘 장악한다면 빠른 시일 내에 많은 성과 가 있을 것입니다.

Microsoft GH-500 시험요강:

주제소개
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
  • 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 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.
주제 4
  • 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 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 GH-500최고품질 덤프문제 <<

Microsoft GH-500인기공부자료 - GH-500최신 덤프자료

만약 아직도Microsoft GH-500인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면Microsoft GH-500인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금Itcertkr에서Microsoft GH-500인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다.

최신 GitHub Administrator GH-500 무료샘플문제 (Q112-Q117):

질문 # 112
When secret scanning detects a set of credentials on a public repository, what does GitHub do?

정답:B

설명:
When a public repository contains credentials that match known secret formats, GitHub will automatically notify the service provider that issued the secret. This process is known as "secret scanning partner notification". The provider may then revoke the secret or contact the user directly.
GitHub does not publicly display the alert and does not send internal repository notifications for public detections.


질문 # 113
You are tasked with filtering queries in a CodeQL query suite. Which metadata tag matches on the last path component?

정답:C

설명:
In a CodeQL query suite, the query filename constraint matches the final path component-that is, the filename of the query file itself. GitHub distinguishes this from query path, which matches the path to the query relative to the enclosing CodeQL pack. The tags contain and tags contain all constraints operate on values from the query's @tags metadata rather than its filesystem path. tags contain requires one of the specified strings to match a tag component, while tags contain all requires all specified strings to be represented. Therefore, when the objective is specifically to filter queries according to the last component of their file path, query filename is the appropriate CodeQL query-suite constraint.


질문 # 114
Where can you use CodeQL analysis for code scanning? Each answer presents part of the solution. (Choose two.)

정답:A,C


질문 # 115
What is a security policy?

정답:D

설명:
Adding a security policy to your repository
You can give instructions for how to report a security vulnerability in your project by adding a security policy to your repository.
About security policies
To give people instructions for reporting security vulnerabilities in your project, you can add a SECURITY.md file to your repository's root, docs, or .github folder. Adding this file to this part(s) of your repository automatically creates a row with a description where people can review it.
When someone creates an issue in your repository, they will see a link to your project's security policy.


질문 # 116
Which of the following options are code scanning application programming interface (API) endpoints? (Each answer presents part of the solution. Choose two.)

정답:A,B

설명:
The GitHub Code Scanning API includes endpoints that allow you to:
List alerts for a repository (filtered by branch, state, or tool) - useful for monitoring security over time.
Get a single alert by its ID to inspect its metadata, status, and locations in the code.
However, GitHub does not support modifying the severity of alerts via API - severity is defined by the scanning tool (e.g., CodeQL). Likewise, alerts cannot be deleted via the API; they are resolved by fixing the code or dismissing them manually.


질문 # 117
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