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GH-500인증시험자료 & GH-500최신시험대비공부자료
BONUS!!! Fast2test GH-500 시험 문제집 전체 버전을 무료로 다운로드하세요: https://drive.google.com/open?id=140ZIv-zRPAmuUikB8k5rDDF3_SqkXBMT
많은 사이트에서 Microsoft인증 GH-500시험대비덤프를 제공해드리는데Fast2test를 최강 추천합니다. Fast2test의Microsoft인증 GH-500덤프에는 실제시험문제의 기출문제와 예상문제가 수록되어있어 그 품질 하나 끝내줍니다.적중율 좋고 가격저렴한 고품질 덤프는Fast2test에 있습니다.
Microsoft GH-500인증시험패스에는 많은 방법이 있습니다. 먼저 많은 시간을 투자하고 신경을 써서 전문적으로 과련 지식을 터득한다거나; 아니면 적은 시간투자와 적은 돈을 들여 Fast2test의 인증시험덤프를 구매하는 방법 등이 있습니다.
GH-500최신 시험대비 공부자료 - GH-500시험대비 최신버전 덤프자료
Fast2test는 고객님께서 첫번째Microsoft GH-500시험에서 패스할수 있도록 최선을 다하고 있습니다. 만일 어떤 이유로 인해 고객이 첫 번째 시도에서 실패를 한다면, Fast2test는 고객에게Microsoft GH-500덤프비용 전액을 환불 해드립니다.환불보상은 다음의 필수적인 정보들을 전제로 합니다.
Microsoft GH-500 시험요강:
주제
소개
주제 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.
주제 2
- 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 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
- 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.
최신 GitHub Administrator GH-500 무료샘플문제 (Q18-Q23):
질문 # 18
Which of the following features helps to prioritize secret scanning alerts that present an immediate risk?
- A. Non-provider patterns
- B. Custom pattern dry runs
- C. Push protection
- D. Secret validation
정답:D
설명:
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.
질문 # 19
Which of the following secret scanning features can verify whether a secret is still active?
- A. Branch protection
- B. Custom patterns
- C. Push protection
- D. Validity checks
정답:D
설명:
Validity checks, also called secret validation, allow GitHub to check if a detected secret is still active. If verified as live, the alert is marked as "valid", allowing security teams to prioritize the most critical leaks.
Push protection blocks secrets but does not check their validity. Custom patterns are user-defined and do not include live checks.
질문 # 20
Which CodeQL query suite provides queries of lower severity than the default query suite?
- A. security-extended
- B. github/codeql-go/ql/src@main
- C. github/codeql/cpp/ql/src@main
정답:A
설명:
The security-extended query suite includes additional CodeQL queries that detect lower severity issues than those in the default security-and-quality suite.
It's often used when projects want broader visibility into code hygiene and potential weak spots beyond critical vulnerabilities.
The other options listed are paths to language packs, not query suites themselves.
질문 # 21
What does a CodeQL database of your repository contain?
- A. a build of the code and extracted data
- B. a build for Go projects to set up the project
- C. build commands for C/C++, C#, and Java
- D. a representation of all of the source code
정답:A
설명:
CodeQL databases contain queryable data extracted from a codebase, for a single language at a particular point in time. The database contains a full, hierarchical representation of the code, including a representation of the abstract syntax tree, the data flow graph, and the control flow graph.
Each language has its own unique database schema that defines the relations used to create a database. The schema provides an interface between the initial lexical analysis during the extraction process, and the actual complex analysis using CodeQL. The schema specifies, for instance, that there is a table for every language construct.
For each language, the CodeQL libraries define classes to provide a layer of abstraction over the database tables. This provides an object-oriented view of the data which makes it easier to write queries.
질문 # 22
You have enabled Dependabot alerts on your repository. If Dependabot detects a vulnerable dependency, it sends an alert when:
- A. a contributor makes a change to a function in the code.
- B. the vulnerability is removed from the GitHub Advisory Database.
- C. a contributor adds the vulnerable dependency to a manifest in the repository.
- D. manifests and lock files are out of date and a version needs to be updated.
정답:C
설명:
Detection of insecure dependencies
Dependabot performs a scan of the default branch of your repository to detect insecure dependencies, and sends Dependabot alerts when:
* A new advisory is added to the GitHub Advisory Database.
* The dependency graph for a repository changes. For example, when a contributor pushes a commit to change the packages or versions it depends on, or when the code of one of the dependencies changes.
Additionally, GitHub can review any dependencies added, updated, or removed in a pull request made against the default branch of a repository, and flag any changes that would reduce the security of your project. This allows you to spot and deal with vulnerable dependencies before, rather than after, they reach your codebase.
Note: When you push a commit to GitHub that changes or adds a supported manifest or lock file to the default branch, the dependency graph is automatically updated. In addition, the graph is updated when anyone pushes a change to the repository of one of your dependencies.
질문 # 23
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