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| Section | Objectives |
|---|---|
| Introduction to DevSecOps | - DevSecOps concepts and philosophy - Key components and toolchain - DevSecOps vs traditional security - Shift-left security approach |
| Understanding DevOps Culture | - DevOps lifecycle and workflows - Collaboration and communication models - DevOps fundamentals and principles |
| Cloud-Native DevSecOps | - Container and Kubernetes security - Cloud security principles (AWS, Azure) - Cloud security compliance - Serverless security |
| DevSecOps Governance and Culture | - Team roles and responsibilities - DevSecOps maturity model - Security policy and framework - Continuous improvement practices |
| DevSecOps Pipeline - Test Stage | - Interactive Application Security Testing (IAST) - Security regression testing - API security testing - Dynamic Application Security Testing (DAST) |
| DevSecOps Pipeline - Code Stage | - Secret management and prevention - Static Application Security Testing (SAST) - Secure coding practices and guidelines - Code review and security analysis |
| DevSecOps Pipeline - Operate & Monitor Stage | - Incident response and management - Threat detection and response - Logging and security analytics - Continuous security monitoring |
| DevSecOps Pipeline - Plan Stage | - Risk assessment and management - Compliance and regulatory alignment - Threat modeling methodologies - Security requirement engineering |
| DevSecOps Pipeline - Build Stage | - Container security fundamentals - Software Composition Analysis (SCA) - Build pipeline security controls - Automated build security |
| DevSecOps Pipeline - Release & Deploy Stage | - Orchestration and deployment security - Policy as Code implementation - Configuration management security - Infrastructure as Code (IaC) security |
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NEW QUESTION # 61
Rahul Mehta is working as a DevSecOps engineer in an IT company that develops cloud-native web applications. His organization follows a strict DevSecOps practice and wants to ensure that third-party open-source dependencies used in the application do not introduce known security vulnerabilities. Rahul decided to integrate a Software Composition Analysis (SCA) tool into the CI pipeline so that every build is automatically scanned. During one of the builds, the SCA tool detects a critical vulnerability in a transitive dependency. What should ideally happen in a mature DevSecOps pipeline when such a critical vulnerability is detected at build time?
Answer: D
Explanation:
In a mature DevSecOps pipeline, security controls are enforced as gates, not merely as informational checks. When an SCA tool detects a critical vulnerability in a dependency--whether direct or transitive--the correct response at the Build and Test stage is to fail the build. This prevents vulnerable artifacts from moving forward into later stages such as deployment or production, where remediation would be more expensive and risky. Allowing the build to continue, even with notifications, contradicts the shift-left security principle. Ignoring transitive dependencies is also dangerous, as many real-world vulnerabilities originate from indirect libraries. Failing the build forces developers to remediate the issue immediately by upgrading, replacing, or mitigating the vulnerable dependency. This approach reduces attack surface, enforces accountability, and ensures that only secure artifacts are released. Therefore, stopping the pipeline upon detection of critical vulnerabilities reflects a strong DevSecOps maturity model and effective security governance.
NEW QUESTION # 62
Priya Nair, a DevSecOps engineer at a Bengaluru SaaS company, configures her CI pipeline so that any commit introducing a critical-severity vulnerability in an open-source dependency automatically fails the build and blocks the merge. Which control is Priya implementing?
Answer: C
Explanation:
An automated SCA gate integrates dependency-scanning tools directly into the CI pipeline so that builds are automatically blocked when scanned open-source components contain vulnerabilities above a defined severity threshold, enforcing a "fail fast" security policy without requiring human intervention. A manual code review gate depends on a human reviewer approving changes and does not automatically evaluate dependency vulnerability data. A canary release gate is a Deploy-stage technique that gradually routes a small percentage of production traffic to a new version to observe behavior before full rollout, unrelated to dependency scanning. A rollback trigger is an Operate-stage mechanism that reverts a deployment after failure is detected in production. Since Priya's pipeline automatically fails builds based on dependency vulnerability severity, an automated SCA gate is correct.
NEW QUESTION # 63
Nicholas Cascone has recently been recruited by an IT company from his college as a DevSecOps engineer. His team leader asked him to integrate GitHub Webhooks with Jenkins. To integrate GitHub Webhooks with Jenkins, Nicholas logged in to GitHub account; he then selected Settings > Webhooks > Add Webhook. In the Payload URL field, he is supposed to add Jenkins URL. Which of the following is the final Jenkins URL format that Nicholas should add in Payload URL field of GitHub to configure GitHub Webhooks with Jenkins?
Answer: C
Explanation:
Jenkins exposes a predefined endpoint for receiving GitHub webhook events. This endpoint is
/github-webhook/ and must be appended to the Jenkins base URL in the GitHub webhook configuration. Option C correctly matches the required endpoint format. The other options use incorrect casing, separators, or naming conventions that Jenkins does not recognize. Correct webhook configuration ensures that Jenkins jobs are automatically triggered when code changes occur in GitHub repositories. This integration supports continuous integration and immediate feedback during the Code stage of the DevSecOps pipeline.
NEW QUESTION # 64
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?
Answer: B
Explanation:
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.
NEW QUESTION # 65
Richard Branson has been working as a DevSecOps engineer in an IT company since the past 7 years. He has launched an application in a container one month ago. Recently, he modified the container and would like to commit the changes to a new image. Which of the following commands should Branson use to save the current state of the container as a new image?
Answer: D
Explanation:
The docker commit command is used to create a new Docker image from the current state of a running or stopped container. This is useful when changes have been made interactively inside a container and need to be preserved as a reusable image. Commands such as docker push are used to upload images to a registry, not to create them, and container commit or container push are not valid Docker CLI commands. While docker commit can be helpful for quick snapshots or debugging, it is generally recommended to use Dockerfiles for reproducible builds in production pipelines. In the Build and Test stage, understanding docker commit helps DevSecOps engineers capture container changes for analysis, testing, or troubleshooting.
NEW QUESTION # 66
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