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| Section | Objectives |
|---|---|
| Topic 1: Compliance, Risk & Governance | - Risk management
|
| Topic 2: DevSecOps Pipeline Integration | - CI/CD security integration
|
| Topic 3: Cloud & Container Security | - Container security
|
| Topic 4: Security Operations & Monitoring | - Incident response
|
| Topic 5: Secure Software Development Lifecycle (SDLC) | - Secure coding practices
|
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43. Frage
Christopher Brown has been working as a DevSecOps engineer in an IT company that develops software and web applications for an ecommerce company. To automatically detect common security issues and coding error in the C++ code, she performed code scanning using CodeQL in GitHub. Which of the following entries will Christopher find for CodeQL analysis of C++ code?
Antwort: D
Begründung:
When GitHub Code Scanning is enabled using CodeQL, each supported programming language is identified by a specific language key. For C++ code, CodeQL uses the identifier cpp, not "cp." CodeQL workflows are commonly configured to run during pull request events so that security issues and coding errors can be detected and reviewed before code is merged into the main branch. As a result, the CodeQL analysis entry displayed in GitHub Actions and the Security tab for C++ pull request analysis appears as CodeQL/Analyze (cpp) (pull-request). Options A and B are incorrect because "cp" is not a valid CodeQL language identifier. Option C uses the correct language identifier but references an incorrect event format. Identifying the correct CodeQL analysis entry helps DevSecOps engineers confirm that scans are executing correctly for the intended language during the Code stage and that security feedback is available early in the development lifecycle.
44. Frage
Charles Rettig has been working as a DevSecOps engineer in an IT company that develops software and web applications for IoT devices. He integrated Burp Suite with Jenkins to detect vulnerabilities and evaluate attack vectors compromising web applications. Which of the following features offered by Burp Suite minimizes false positives and helps detect invisible vulnerabilities?
Antwort: C
Begründung:
Burp Suite's Out-of-band Application Security Testing (OAST) feature is designed to detect vulnerabilities that do not produce immediate or visible responses during standard scanning.
OAST works by triggering interactions such as DNS or HTTP callbacks, which occur outside the normal request-response cycle. This capability enables detection of blind vulnerabilities like blind SQL injection and server-side request forgery. Because findings are based on confirmed external interactions, OAST significantly reduces false positives. The other options listed are not valid Burp Suite features. Integrating OAST during the Build and Test stage improves the accuracy of dynamic security testing and ensures deeper coverage of complex and hard-to-detect vulnerability classes before applications are released.
45. Frage
William Scott, after completing his graduation in computer science, joined an IT company as a DevSecOps engineer. His team leader has asked him to use GitHub Code Scanning for evaluating the source code in his organization's GitHub repository to detect security issues and coding errors. How can William set up coding scanning in GitHub repository?
Antwort: D
Begründung:
GitHub Code Scanning is a built-in security capability designed to automatically analyze source code for security vulnerabilities and coding errors. The primary and officially supported engine for GitHub Code Scanning is CodeQL. CodeQL works by converting source code into a database and running security queries to detect issues such as injection flaws, insecure coding patterns, and logic errors. William can enable CodeQL by configuring GitHub Actions with either the default or advanced CodeQL workflow. Once enabled, CodeQL scans are triggered on events such as code pushes and pull requests, and the results appear as code scanning alerts in the repository's Security tab. Gauntlt is a security testing harness used mainly for infrastructure and application testing, GitMiner is used to discover sensitive data like secrets in repositories, and OWASP ZAP is a dynamic application security testing tool used against running applications. None of these tools configure GitHub's native Code Scanning feature. Therefore, CodeQL is the correct tool to set up GitHub Code Scanning in the Code stage of a DevSecOps pipeline.
46. Frage
Paul McCartney has been working as a senior DevSecOps engineer in an IT company over the past 5 years. He would like to integrate Conjur secret management tool into the CI/CD pipeline to secure the secret credentials in various phases of development. To integrate Conjur with Jenkins, Paul downloaded Conjur.hpi file and uploaded it to the Upload Plugin section of Jenkins. Paul declared a policy branch using a code and saved it as a .yml file. Which of the following commands should Paul use to load this policy in Conjur root?
Antwort: D
Begründung:
Conjur policies define access controls, authentication rules, and secret variables, and they must be loaded into the correct policy branch. The conjur policy load command uses the -b flag to specify the policy branch and the -f flag to specify the policy file. To load a policy into the root branch, the correct command is conjur policy load -b root -f <file-name>. Options that reverse or misuse these flags are invalid and would either fail or load the policy incorrectly. Loading policies correctly during the Build and Test stage ensures that Jenkins pipelines can securely access secrets at runtime, enforcing centralized secret management, least-privilege access, and compliance with security requirements.
47. Frage
Ingrid Larsen, a release engineer at an Oslo renewable energy company, wants to deploy a new version of a critical control-system API to only 5% of production traffic initially, monitoring error rates before a full rollout. Which deployment strategy is she using?
Antwort: C
Begründung:
Canary deployment routes a small, controlled percentage of production traffic (in this case, 5%) to the new version while the majority continues to use the stable version, allowing teams to monitor real-world metrics like error rates and latency before deciding to proceed with a full rollout -- this is exactly Ingrid's approach. Blue-green deployment instead maintains two complete, identical environments and switches all traffic at once from the old (blue) to the new (green) environment rather than a gradual percentage-based shift. Recreate deployment terminates the old version entirely before starting the new one, causing downtime, which contradicts the gradual traffic- splitting Ingrid describes. Rolling deployment incrementally replaces instances of the old version with the new one across the infrastructure rather than splitting live traffic by percentage to a parallel version. Since Ingrid is directing a specific traffic percentage to the new version for monitoring, canary deployment is correct.
48. Frage
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