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| Section | Objectives |
|---|---|
| Secure Software Development Lifecycle (SDLC) | - Secure coding practices
|
| Security Operations & Monitoring | - Continuous monitoring
|
| Cloud & Container Security | - Container security
|
| Compliance, Risk & Governance | - Compliance frameworks
|
| DevSecOps Pipeline Integration | - Toolchain security
|
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NEW QUESTION # 101
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?
Answer: D
Explanation:
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.
NEW QUESTION # 102
A cloud operations team manages a fleet of virtual machines (VMs) in Google Cloud Platform (GCP). The team wants to automate OS patching across all VM instances without manual intervention, ensure compliance by keeping all VMs up to date with the latest security patches and monitor and manage software configurations across multiple VM instances efficiently. To achieve these goals, the team decides to leverage a GCP service that provides centralized patch management, configuration enforcement, and automation. Which GCP service should the team use?
Answer: A
Explanation:
GCP VM Manager provides centralized OS patch management (patch compliance and automated patch deployment), OS configuration management, and inventory across fleets of VM instances-meeting all three goals. Firewall Rules control network traffic, Cloud Logging only collects logs, and Cloud Run is a serverless container platform, none of which patch VMs.
NEW QUESTION # 103
Dustin Hoffman has been working as a DevSecOps engineer in an IT company located in San Diego, California. For detecting new security vulnerabilities at the beginning of the source code development, he would like to integrate Checkmarx SCA tool with GitLab. The Checkmarx template has all the jobs defined for pipeline. Where should Dustin incorporate the Checkmarx template file `https://raw.githubusercontent.com/checkmarx-ltd/cx- flow/develop/templates/gitlab/v3/Checkmarx.gitlab-ci.yml'?
Answer: C
Explanation:
GitLab CI/CD pipelines are defined using a configuration file named gitlab-ci.yml, which must be placed in the root directory of the repository. This file controls pipeline stages, jobs, and template inclusions. To integrate Checkmarx SCA using a predefined template, the template reference must be included in the root-level gitlab-ci.yml file so GitLab can load and execute the defined jobs automatically. The other filenames listed in the options are not recognized by GitLab as valid pipeline configuration files. Integrating SCA at the Code stage allows early detection of vulnerable open-source dependencies, reducing remediation cost and preventing insecure components from progressing further in the DevSecOps pipeline.
NEW QUESTION # 104
Alex Hales recently joined TAVR Software Solution Pvt. Ltd. As a DevSecOps engineer. To automatically detect security loopholes in the web applications while building and testing them, he integrated OWASP ZAP DAST Plugin with Jenkins. How can Alex uniquely identify every build in the project?
Answer: A
Explanation:
Jenkins automatically assigns a unique identifier to each build using the environment variable BUILD_ID. When integrating OWASP ZAP with Jenkins, appending ${BUILD_ID} to output filenames or reports ensures that every scan result corresponds to a specific build execution. This avoids overwriting previous reports and allows traceability between build artifacts and security findings. Variables such as ${ZAPROXY_HOME} refer to installation paths, not build uniqueness, while ${Profile_ID} and ${zap_scan} are not standard Jenkins variables for uniquely identifying builds. Using ${BUILD_ID} supports better auditing, historical analysis, and correlation between detected vulnerabilities and the exact build in which they were found, which is critical during the Build and Test stage of a DevSecOps pipeline.
NEW QUESTION # 105
Emma, a DevSecOps engineer, is working on a project where all development tasks are tracked in Jira. To maintain clear traceability, she ensures that each code change is linked to a corresponding Jira Story. After picking up a new feature, she updates the Story status, begins coding, and later commits her changes to GitHub. To ensure seamless tracking, she includes a specific reference in the commit message so that the Story remains connected to the change set and can be monitored throughout the pipeline. What should Emma include in her commit message to maintain proper traceability?
Answer: B
Explanation:
Emma should include the Jira Story ID (issue key, e.g., PROJ-123) in her commit message. Smart-commit integration links commits, branches, and builds to the Jira issue via the issue key, giving end-to-end traceability through the pipeline. Branch names, build numbers, or author emails do not create this linkage.
NEW QUESTION # 106
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