Dumps GH-500 PDF & 100% GH-500 Accuracy

BONUS!!! Download part of PassExamDumps GH-500 dumps for free: https://drive.google.com/open?id=1SShdWfvJaUvtpiI4U8e010h14LB8yyu2

Living in such a world where competitiveness is a necessity that can distinguish you from others, every one of us is trying our best to improve ourselves in every way. It has been widely recognized that the GH-500 exam can better equip us with a newly gained personal skill, which is crucial to individual self-improvement in todayโ€™s computer era. With the certified advantage admitted by the test GH-500 Certification, you will have the competitive edge to get a favorable job in the global market. Here our GH-500 exam braindumps are tailor-designed for you.

Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Real Exam Qty:40โ€“60
Exam Duration:100 minutes
Available Languages:English, Spanish, Arabic (Saudi Arabia), Korean, Chinese (Simplified), German, French, Portuguese (Brazil), Japanese
Exam Format:Interactive tasks, Scenario-based, Multiple-choice
Passing Score:700 / 1000
Exam Price:$99 USD
Certificate Validity Period:1 year
Recommended Training:GitHub Advanced Security Learning Path
Course GH-500T00: GitHub Advanced Security
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Exam Registration
Sample Questions:Microsoft GH-500 Sample Questions
Exam Way:Online proctored or onsite testing via Pearson VUE
Pre Condition:Familiarity with GitHub fundamentals, CI/CD pipelines, and secure development practices; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-500

>> Dumps GH-500 PDF <<

100% GH-500 Accuracy - Reliable GH-500 Practice Materials

In our software version of the GH-500 exam dumps, the unique point is that you can take part in the practice test before the real GH-500 exam. You never know what you can get till you try. It is universally acknowledged that mock examination is of great significance for those who are preparing for the exam since candidates can find deficiencies of their knowledge as well as their shortcomings in the practice test, so that they can enrich their knowledge before the Real GH-500 Exam.

Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
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 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 3
  • 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 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.
Topic 5
  • 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.

Microsoft GitHub Advanced Security Sample Questions (Q71-Q76):

NEW QUESTION # 71
You have a GitHub Enterprise Cloud Organization that contains public repositories and uses GitHub Advanced Security.
You need to detect vulnerability and secrets for the repositories. The solution must minimize costs.
What should you use?

Answer: D

Explanation:
The correct answer option is code scanning, dependency review, and secret scanning.
Code Scanning: This feature uses CodeQL static analysis to evaluate your custom code for specific security flaws (e.g., SQL injections, cross-site scripting). This fulfills the requirement to detect code vulnerabilities.
Dependency Review: This caught-at-pull-request tool allows you to track changes in third-party packages, flagging introduced components that contain known open-source vulnerabilities. This handles vulnerability detection for dependencies.
Secret Scanning: This searches your entire Git history and branches to identify hardcoded credentials like API keys or tokens. This covers the mandatory requirement to detect secrets.
Low-Cost Efficiency: For public repositories, all three core GitHub Advanced Security (GHAS) features (code scanning, dependency review, and secret scanning) are provided free of charge by GitHub. Enabling them aligns perfectly with the goal of keeping financial costs minimized.
Incorrect:
[Not A, not D] (Push Protection): While push protection is a highly effective feature that proactive intercepts secrets before they enter the repository, it does not satisfy the core requirement to scan the existing code base for vulnerabilities.
[Not B, not D] (Copilot Secret Scanning): Copilot secret scanning relies on generative AI models to flag unstructured passwords. Because it requires a paid GitHub Copilot subscription, it violates the "low cost" constraint.
[Not C, not D] (Secret Risk Assessment): The secret risk assessment tool merely functions as a high-level administrative reporting dashboard to evaluate overall posture. It does not provide automated active scanning mechanisms or remediation alerts on repository pull requests.
Reference:
https://docs.github.com/en/get-started/learning-about-github/about-github-advanced-security


NEW QUESTION # 72
Secret scanning will ignore a secret_scanning.yml file that

Answer: B

Explanation:
Excluding folders and files from secret scanning
You can customize secret scanning to automatically close alerts for secrets found in specific directories or files by configuring a secret_scanning.yml file in your repository.
* If there are more than 1,000 entries in paths-ignore, secret scanning will only exclude the first
1,000 directories from scans.
* If secret_scanning.yml is larger than 1 MB, secret scanning will ignore the entire file.


NEW QUESTION # 73
When using CodeQL, what extension stores query suite definitions?

Answer: B

Explanation:
About creating CodeQL query suites
CodeQL query suites provide a way of selecting queries, based on their filename, location on disk or in a CodeQL pack, or metadata properties. Create query suites for the queries that you want to frequently use in your CodeQL analyses.
Query suites allow you to pass multiple queries to CodeQL without having to specify the path to each query file individually. Query suite definitions are stored in YAML files with the extension .qls. A suite definition is a sequence of instructions, where each instruction is a YAML mapping with (usually) a single key. The instructions are executed in the order they appear in the query suite definition. After all the instructions in the suite definition have been executed, the result is a set of selected queries.


NEW QUESTION # 74
Which of the following would raise secret scanning alerts?

Answer: B

Explanation:
A secret scanning alert is raised when sensitive data, such as API keys, passwords, or access tokens, is detected in a code repository, often due to accidental inclusion by developers. The detection uses pattern-matching and entropy analysis to identify high-entropy strings that look like secrets, but can sometimes generate false positives from non-sensitive data like UUIDs. Alerts can also occur when a developer attempts to bypass the push protection feature that prevents secrets from being committed.


NEW QUESTION # 75
Hotspot Question
You have a GitHub Enterprise Cloud Organization that uses GitHub Code Security.
You need to create a security campaign to remediate cross-site scripting (XSS) vulnerabilities identified by code scanning. The campaign must meet the following requirements:
- Include only alerts that support automatic remediation.
- Include only alerts associated with cross-site scripting (CWE-79).
- Enable eligible security administrators to manage and track the
campaign.
How should you configure the campaign? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: cwe:79 autofix:supported
To target code scanning alerts for your security campaign that specifically associate with cross- site scripting (CWE-79) and support automatic remediation via Copilot Autofix, you should use the following alert selection filter string:
To narrow your security campaign to exactly what you need, use the following syntax in the search/filter bar: cwe:79 autofix:supported Box 2: Select organization owners or security managers as campaign managers.
To configure campaign managers for a security campaign in a GitHub Enterprise Cloud Organization, you must grant the eligible administrators either the Organization Owner role or the Security Manager role. Only users assigned to these specific roles have the mandatory, organization-wide administrative privileges required to create, manage, and track security campaigns.
Reference:
https://docs.github.com/en/code-security/tutorials/secure-your-organization/best-practice-fix-alerts-at-scale
https://docs.github.com/en/enterprise-cloud@latest/code-security/tutorials/secure-your-organization/best-practice-fix-alerts-at-scale


NEW QUESTION # 76
......

100% GH-500 Accuracy: https://www.passexamdumps.com/GH-500-valid-exam-dumps.html

P.S. Free & New GH-500 dumps are available on Google Drive shared by PassExamDumps: https://drive.google.com/open?id=1SShdWfvJaUvtpiI4U8e010h14LB8yyu2