模擬考試功能
GH-500學習資料的內容全部由行業專家根據多年來的考試大綱和行業發展趨勢編制而成。它與市場上問題庫的內容不重疊,避免了反复練習引起的疲勞。 GH-500考試指南不是一個拼湊的測試題,而是有自己的系統和層次結構,可以使用戶有效地提高效率。我們的學習材料包含由考試專家根據不同科目的特點和範圍編寫的試題。模擬真實的GitHub Advanced Security測試環境。測試結束後,系統還會給出總分和正確率。
考試前只需20-30小時的學習時間
在此之前,您可能需要數月甚至一年的時間來準備專業考試,但使用GH-500考試指南,您只需要在考試前花費20-30小時進行複習即可。並且使用我們的學習材料,您將不再需要任何其他復習材料,因為我們的學習材料已包含所有重要的測試點。與此同時,GH-500學習材料將為您提供全新的學習方法 - 讓您練習過程中的掌握知識。有許多人因閱讀書籍而感到頭疼,因為裡面有很多難以理解的知識。與此同時,教科書中那些無聊的描述常常讓人感到困倦。但是使用GH-500測試題庫:GitHub Advanced Security,你將不再有這些煩惱。
購買前免費試用
GH-500學習資料為消費者提供免費試用服務。如果您對我們的學習資料感興趣,您只需要進入我們的官方網站,您就可以免費下載並體驗我們的試用問題庫。通過試用,您將在GH-500考試指南中獲得不同的學習經歷,您會發現我們所說的不是謊言,您將立即愛上我們的產品。作為您成功的關鍵,我們的學習材料可以為您帶來的好處不是靠金錢衡量的。 GH-500測試題庫:GitHub Advanced Security不僅可以幫助您通過考試,還可以幫助您掌握一套新的學習方法,並教您如何高效學習,我們的學習材料將引領您走向成功。
無論您是新人還是具有更多經驗老手,GH-500學習材料都將是你們的最佳選擇,因為這是我們的專業人士根據多年來的考試大綱和行業趨勢的變化進行編輯的。 GH-500測試題庫:GitHub Advanced Security不僅可以幫助您提高學習效率,還可以幫助您將復習時間從長達幾個月縮短到一個月甚至兩三週,這樣您就可以使用最少的時間和精力獲得最大提升。
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Microsoft GH-500 考試大綱:
| 主題 | 簡介 |
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| 主題 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.
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| 主題 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.
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| 主題 3 | - 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.
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| 主題 4 | - 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.
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| 主題 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.
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參考:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/GH-500