GH-500 preparation labs: 100% Pass Exam Guarantee, or Full Refund

Our promise is that: 100% guarantee passing exams or we will full refund to you without any doubt. Our complete coverage of knowledge points of GH-500: GitHub Advanced Security exam cram will help most of the candidates pass exams easily, but if by any chance you fail at the first attempt, we guarantee a full refund on your purchase. Also you can choose to wait for our updated new edition of GH-500 preparation labs or change to other valid test preparations of exam code subject. Our only aim is to assist you to clear the exam with our GH-500 test preparation successfully.

Our purpose: Product First, Customer Foremost

Our company will always stick to the target of high quality (Microsoft GH-500 preparation labs), good faith, unique brand and long-term development. Our corporate philosophy is to direct our efforts based on our client's wishes (GH-500: GitHub Advanced Security exam cram). Our purpose: Product First, Customer Foremost. We provide 24*7 online service support: pre-sale and after-sale. Any time if you want to know something about our products GH-500: GitHub Advanced Security exam cram, we will serve for you immediately. Any contact and email will be replied in two hours.

As space is limited, we aren't able to write more. If you want to know more details about Microsoft GH-500 preparation labs please feel free to contact with us any time, it is our pleasure to reply and solve problem with you. Our GH-500: GitHub Advanced Security exam cram is surely the best assist for you to clear exams all the time.

Experienced IT professionals and experts

All the relevant Microsoft GH-500 preparation labs are strictly compiled by experienced IT professional and experts who are skilled in latest real tests and testing center for many years in examination materials industry. So our GH-500 exam cram could cover 100% of the knowledge points of real test and ensure good results for every candidate who trust GH-500: GitHub Advanced Security preparation labs. All education staff are required master degree or above, 5 years' industrial experience and spacious interpersonal relationship in international large companies.

Don't be upset by Microsoft GH-500: GitHub Advanced Security again. Prep4cram releases the best valid GH-500 preparation labs that can help you be save-time, save-energy and cost-effective to clear you exam certainly. Give yourself one chance to choose us: our GH-500 exam cram is actually reliable and worth to buy. We can be your trustworthy source for GitHub Advanced Security exam, our advantages are specific.

After purchase, Instant Download: Upon successful payment, Our systems will automatically send the product you have purchased to your mailbox by email. (If not received within 12 hours, please contact us. Note: don't forget to check your spam.)

Update Microsoft GH-500 preparation labs aperiodically

We update our exam preparation materials aperiodically accord with real tests, which is to ensure our GH-500 exam cram coverage more than 96% normally. Also, we will inform our users about the latest products in time so as to help you pass your exams with our GH-500 preparation labs easily. We provide one year service warranty for every user so that you can download our latest GH-500: GitHub Advanced Security exam cram free of charge whenever you want within one year. If you find HTML link, log account and password are not available you can ask us any time.

Microsoft GH-500 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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 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.
Topic 5	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.