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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and use supply chain security | 15–20% | - Configure Dependency Review and enforce policies - Analyze dependency risks and vulnerabilities - Enable and configure Dependabot and dependency updates - Manage license compliance and security policies |
| Topic 2: Security operations: best practices, prioritization, and remediation | 15–20% | - Prioritize risks based on severity, impact, and context - Document and track security improvements - Detect, manage, and respond to security alerts - Apply remediation workflows and automation |
| Topic 3: GitHub Security suites administration | 10–15% | - Monitor usage, compliance, and audit logs - Plan deployment and rollout strategies - Manage access and licensing for GHAS - Configure organization and repository policies |
| Topic 4: Configure and use Code Security | 10–15% | - Integrate with GitHub Actions or external CI systems - Configure workflows, templates, and scan frequency - Analyze, triage, and remediate scan results - Set up and enable code scanning |
| Topic 5: Describe GitHub Security suites, features, and ecosystem | 15–20% | - Explain security campaigns and risk reduction - Understand GitHub Security suites and architecture - Describe suite structure, navigation, and end-to-end secure SDLC - Compare prevention-first vs gate-based security strategies |
| Topic 6: Configure and use Secret Protection | 15–20% | - Configure settings and feature availability - Prevent secret exposure and manage push protection - Contrast behavior between public and private/enterprise repositories - Enable and configure at repository and organization levels |
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NEW QUESTION # 78
What is required to trigger code scanning on a specified branch?
Answer: C
Explanation:
Scanning on push
By default, the CodeQL analysis workflow uses the on:push event to trigger a code scan on every push to the default branch of the repository and any protected branches. For code scanning to be triggered on a specified branch, the workflow must exist in that branch. For more information, see Workflow syntax for GitHub Actions.
NEW QUESTION # 79
Which of the following would raise secret scanning alerts?
Answer: D
Explanation:
A GitHub personal access token (PAT) is a credential and is therefore a type of value that secret scanning is designed to detect. GitHub supports patterns for GitHub-issued tokens and can generate secret scanning alerts when supported PAT formats are committed to repositories. GitHub also performs validity checks for certain GitHub tokens and can distinguish active from inactive credentials. SQL injection, cross-site scripting, and server-side request forgery are application vulnerabilities rather than exposed credentials; those issues are detected through code scanning tools such as CodeQL. The distinction is important: secret scanning looks for credentials, API keys, passwords, tokens, and similar sensitive values, whereas code scanning analyzes source code for insecure programming patterns. Therefore, only the GitHub PAT belongs to secret scanning.
NEW QUESTION # 80
Where can you view code scanning results from CodeQL analysis?
Answer: D
Explanation:
You can use CodeQL to identify vulnerabilities and errors in your code. The results are shown as code scanning alerts in GitHub.
Note:
Viewing the alerts for a repository
You need write permission to view a summary of all the alerts for a repository on the Security tab.
By default, the code scanning alerts page is filtered to show alerts for the default branch of the repository only.
1. On GitHub, navigate to the main page of the repository.
2. Under the repository name, click Security. If you cannot see the "Security" tab, select the dropdown menu, and then click Security.
3. In the left sidebar, click Code scanning.
4. Optionally, use the free text search box or the dropdown menus to filter alerts. For example, you can filter by the tool that was used to identify alerts.
5. Etc.
NEW QUESTION # 81
Which of the following formats are used to describe a Dependabot alert? Each answer presents a complete solution. (Choose two.)
Answer: B,D
Explanation:
Dependabot alerts utilize standardized identifiers to describe vulnerabilities:
CVE (Common Vulnerabilities and Exposures):A widely recognized identifier for publicly known cybersecurity vulnerabilities.
CWE (Common Weakness Enumeration):A category system for software weaknesses and vulnerabilities.
These identifiers help developers understand the nature of the vulnerabilities and facilitate the search for more information or remediation strategies.
Note:
Dependabot alerts utilize standardized identifiers like Common Vulnerabilities and Exposures (CVE) identifiers and GitHub Advisory IDs to describe vulnerabilities within your project's dependencies. These identifiers help link the specific vulnerability to a standardized database entry, providing more context and details about the issue.
Publicly disclosed CWEs used by the Dismiss low impact issues for development-scoped dependencies rule Along with the ecosystem:npm and scope:development alert metadata, we use the following GitHub-curated Common Weakness Enumerations (CWEs) to filter out low impact alerts for the Dismiss low impact issues for development-scoped dependencies rule. We regularly improve this list and vulnerability patterns covered by built-in rules.
Resource Management Issues
CWE-400 Uncontrolled Resource Consumption
CWE-770 Allocation of Resources Without Limits or Throttling
Etc.
Incorrect:
[Not A] Dependabot alerts, combined with Vulnerability Exploitability eXchange (VEX), help users understand and manage vulnerabilities in their dependencies. Dependabot provides alerts when vulnerable dependencies are found, and VEX adds context about whether those vulnerabilities are actually exploitable in a specific environment.
VEX (Vulnerability Exploitability eXchange):
Purpose:
VEX provides a standardized way to communicate whether a vulnerability is actually exploitable in a specific context, like a particular product or environment.
Functionality:
VEX can be used to convey that a vulnerability doesn't pose a risk in a specific scenario, potentially due to specific configurations or mitigations.
Example:
If a product uses a vulnerable component, but that component is not reachable or has a mitigation in place, VEX can be used to communicate that the vulnerability is not exploitable.
[Not D]
Dependabot helps users focus on the most important alerts by including EPSS scores that indicate likelihood of exploitation, now generally available [February 2025] Dependabot alerts now feature the Exploit Prediction Scoring System (EPSS) from the global Forum of Incident Response and Security Teams (FIRST), helping you better assess vulnerability risks.
EPSS scores predict the likelihood of a vulnerability being exploited, with scores ranging from 0 to
1 (0 to 100%). Higher scores mean higher risk. We also show the EPSS score percentile, indicating how a vulnerability compares to others.
For example, a 90.534% EPSS score at the 95th percentile means:
90.534% chance of exploitation in the next 30 days
95% of other vulnerabilities are less likely to be exploited
You can use EPSS scores to help prioritize dependency vulnerabilities based on exploit likelihood.
NEW QUESTION # 82
If default code security settings have not been changed at the repository, organization, or enterprise level, which repositories receive Dependabot alerts?
Answer: D
Explanation:
By default , no repositories receive Dependabot alerts unless configuration is explicitly enabled. GitHub does not enable Dependabot alerts automatically for any repositories unless:
* The feature is turned on manually
* It's configured at the organization or enterprise level via security policies This includes public, private, and enterprise-owned repositories - manual activation is required .
: GitHub Docs - About Dependabot Alerts
NEW QUESTION # 83
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