Microsoft GH-500 Dumps PDF Format: Convenient And relevant

BONUS!!! Download part of Exams4Collection GH-500 dumps for free: https://drive.google.com/open?id=1h739nO6SK6S4af37KMaBvSNW1sUXpMon

If your time is so tight, and have little time to prepare for your exam, then GH-500 training materials will be your best choice. Our GH-500 exam dumps are high-quality, you just need to spend 48 to 72 hours on practicing, and you can pass the exam in your first time. If you do fail the exam, we will give you refund, therefore you don’t need to worry about that you will waste your money. In addition, we offer you free demo to have a try before buying GH-500 Exam Materials, so that you can know what the complete version is like. We have online and offline chat service for GH-500 exam materials, if you have any questions, you can contact us.

Microsoft GH-500 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GH-500: GitHub Advanced Security
Exam Number:GH-500
Passing Score:700 / 1000
Exam Price:$99 USD
Exam Duration:100 minutes
Certificate Validity Period:1 year
Real Exam Qty:40–60
Exam Format:Interactive tasks, Scenario-based, Multiple-choice
Available Languages:Spanish, French, German, English, Portuguese (Brazil), Japanese, Arabic (Saudi Arabia), Chinese (Simplified), Korean
Recommended Training:GitHub Advanced Security Learning Path
Course GH-500T00: GitHub Advanced Security
Exam Registration:Microsoft Learn Exam Registration
Pearson VUE Scheduling
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

>> GH-500 Exam Topics <<

2026 Microsoft Marvelous GH-500: GitHub Advanced Security Exam Topics

We give priority to the user experiences and the clients’ feedback, GH-500 practice guide will constantly improve our service and update the version to bring more conveniences to the clients and make them be satisfied. The clients’ satisfaction degrees about our GH-500 training materials are our motive force source to keep forging ahead. Now you can have an understanding of our GH-500 Guide materials. Every subtle change in the mainstream of the knowledge about the GH-500 certification will be caught and we try our best to search the GH-500 study materials resources available to us.

Microsoft GH-500 Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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 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 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 GitHub Advanced Security Sample Questions (Q79-Q84):

NEW QUESTION # 79
What do you need to do before you can define a custom pattern for a repository?

Answer: D

Explanation:
Comprehensive and Detailed Explanation:
Before defining a custom pattern for secret scanning in a repository, you must enable secret scanning for that repository. Secret scanning must be active to utilize custom patterns, which allow you to define specific formats (using regular expressions) for secrets unique to your organization.
Once secret scanning is enabled, you can add custom patterns to detect and prevent the exposure of sensitive information tailored to your needs.
References: GitHub Docs - Managing alerts from secret scanning


NEW QUESTION # 80
What YAML syntax do you use to exclude certain files from secret scanning?

Answer: B

Explanation:
To exclude specific files or directories from being scanned by secret scanning in GitHub Actions, you can use the paths-ignore: key within your YAML workflow file.
This tells GitHub to ignore specified paths when scanning for secrets, which can be useful for excluding test data or non-sensitive mock content.
Other options listed are invalid:
branches-ignore: excludes branches, not files.
decrypt_secret.sh is not a YAML key.
secret scanning.yml is not a recognized filename for configuration.


NEW QUESTION # 81
Which of the following features can be used to enforce passing status checks for code scanning and dependency review workflows?

Answer: C

Explanation:
To enforce passing status checks for code scanning and dependency review workflows, use repository rulesets to require that specific workflows, like the dependency review action, must pass before a pull request can be merged. On GitHub, this involves setting up a ruleset that mandates the successful completion of your code scanning and dependency review workflows, preventing merge conflicts if the analysis finds high-severity issues or if the review process is incomplete.
Using Rulesets on GitHub
1. Identify the required workflows: Determine which code scanning and dependency review workflows you want to enforce, such as the dependency review action for security vulnerabilities or a custom code scanning workflow.
2. Configure the ruleset: Navigate to your repository's settings and find the section for branch protection rules or rulesets.
3. Set rules for your target branch: Create or edit a ruleset for your primary branch (e.g., main).
Require specific workflows: Within the ruleset, add a requirement for the relevant workflows to pass before a pull request can be merged.
4. Enforce merge protection: Activate the rule to ensure that no pull request can be merged into the target branch unless all required status checks, including your code scanning and dependency review workflows, have successfully passed.


NEW QUESTION # 82
As a repository owner, you want to receive specific notifications, including security alerts, for an individual repository. Which repository notification setting should you use?

Answer: B

Explanation:
Using the Custom setting allows you to subscribe to specific event types, such as Dependabot alerts or vulnerability notifications, without being overwhelmed by all repository activity. This is essential for repository maintainers who need fine-grained control over what kinds of events trigger notifications.
This setting is configurable per repository and allows users to stay aware of critical issues while minimizing notification noise.


NEW QUESTION # 83
Which of the following formats are used to describe a code scanning alert from CodeQL?

Answer: C

Explanation:
Common Weakness Enumeration (CWE) is used by CodeQL to describe the vulnerabilities it detects in code scanning alerts. CodeQL's queries are designed to identify a wide range of weaknesses, and each security query is associated with one or more specific CWEs, providing developers with standardized identifiers for the types of vulnerabilities found.
By associating alerts with CWEs, CodeQL provides a structured and informative approach to vulnerability management, making it easier for development teams to understand, address, and prevent security issues.
Note: The Common Weakness Enumeration (CWE) system is an industry-standard way of cataloging insecure software development patterns. CodeQL runs hundreds of queries out of the box that are able to detect an even greater number of CWEs. We went back through our existing queries, and aligned dozens of them with updated CWE IDs to give users better insight into the potential impact of a security issue when an alert is flagged up by code scanning.
Incorrect:
[Not B]
Vulnerability Exploitability eXchange (VEX) is not used by CodeQL; rather, CodeQL and VEX are complementary tools in software security: CodeQL identifies code vulnerabilities, while VEX communicates the exploitability of a vulnerability within a specific product context, helping users focus on relevant threats.
[Not C]
GitHub Advisories (GHSA) is a database of CVEs and GitHub-originated security advisories affecting the open source world. Advisories may or may not be documented in the National Vulnerability Database. Dependency-Track integrates with GHSA by mirroring advisories via GitHub's public GraphQL API.
[Not D]
CodeQL finds the vulnerability, and CVE provides the universally recognized identifier and description for that specific vulnerability, allowing for better communication and faster response within the cybersecurity community.
Common Vulnerabilities and Exposures (CVE) is a standardized dictionary that provides unique identifiers for publicly known cybersecurity weaknesses in software and hardware. Maintained by the MITRE Corporation and funded by the U.S. Department of Homeland Security, CVE ensures a common language for cybersecurity professionals to track, discuss, and address vulnerabilities effectively across the industry. Each CVE entry includes an identifier, a description, and references to publicly available information about the vulnerability.


NEW QUESTION # 84
......

Test GH-500 Engine Version: https://www.exams4collection.com/GH-500-latest-braindumps.html

BONUS!!! Download part of Exams4Collection GH-500 dumps for free: https://drive.google.com/open?id=1h739nO6SK6S4af37KMaBvSNW1sUXpMon