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| Section | Objectives |
|---|---|
| Introduction to DevSecOps | - Shift-left security approach - DevSecOps vs traditional security - Key components and toolchain - DevSecOps concepts and philosophy |
| DevSecOps Governance and Culture | - Team roles and responsibilities - Security policy and framework - Continuous improvement practices - DevSecOps maturity model |
| DevSecOps Pipeline - Test Stage | - Interactive Application Security Testing (IAST) - API security testing - Dynamic Application Security Testing (DAST) - Security regression testing |
| Cloud-Native DevSecOps | - Serverless security - Cloud security principles (AWS, Azure) - Cloud security compliance - Container and Kubernetes security |
| DevSecOps Pipeline - Code Stage | - Secure coding practices and guidelines - Code review and security analysis - Static Application Security Testing (SAST) - Secret management and prevention |
| Understanding DevOps Culture | - DevOps fundamentals and principles - DevOps lifecycle and workflows - Collaboration and communication models |
| DevSecOps Pipeline - Plan Stage | - Threat modeling methodologies - Compliance and regulatory alignment - Risk assessment and management - Security requirement engineering |
| DevSecOps Pipeline - Operate & Monitor Stage | - Logging and security analytics - Threat detection and response - Incident response and management - Continuous security monitoring |
| DevSecOps Pipeline - Build Stage | - Automated build security - Build pipeline security controls - Software Composition Analysis (SCA) - Container security fundamentals |
| DevSecOps Pipeline - Release & Deploy Stage | - Policy as Code implementation - Orchestration and deployment security - Configuration management security - Infrastructure as Code (IaC) security |
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NEW QUESTION # 20
A company's DevSecOps team is facing challenges in managing infrastructure across multiple AWS accounts and regions. Their current manual approach has led to downtime due to dependency conflicts and configuration errors, lack of visibility into infrastructure changes before deployment, causing unexpected failures in production, difficulties in rolling back to a stable state when errors occur and inconsistent infrastructure definitions and version control issues when working with YAML and JSON templates. To resolve these challenges, Joseph, the team manager, needs to implement a solution that ensures automated, predictable, and safe infrastructure management while enabling change previews and rollback capabilities. Which AWS service should Joseph suggest?
Answer: A
Explanation:
AWS CloudFormation provides automated, predictable infrastructure management with change sets (to preview changes before deployment) and stack rollback to a stable state on failure. It uses version-controllable YAML/JSON templates and works across multiple accounts and regions (StackSets), resolving all of Joseph's challenges. OpsWorks is configuration management, Lambda is serverless compute, and ECS is container orchestration.
NEW QUESTION # 21
(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: C
Explanation:
In a mature DevSecOps pipeline, security controls are enforced asgates, not merely as informational checks.
When an SCA tool detects acritical vulnerabilityin a dependency-whether direct or transitive-the correct response at the Build and Test stage is tofail 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 # 22
Ethan Roberts, a DevSecOps engineer at SecureSoft Technologies, is responsible for securing software products and web applications throughout the development lifecycle. To enhance security testing, he implements Interactive Application Security Testing (IAST), which allows him to analyze source code for vulnerabilities in real-time, monitor security issues dynamically as the application runs, utilize IAST across the development, QA, and production stages to identify vulnerabilities early, and reduce remediation costs by detecting issues before deployment. Ethan's team is particularly interested in how IAST integrates both SAST and DAST capabilities. They observe that IAST can analyze every line of code statically (SAST) and examine every request and response dynamically (DAST). How does IAST achieve this dual functionality?
Answer: A
Explanation:
IAST combines SAST and DAST because its instrumentation agent has access to the application's source code (and runtime internals) while also observing HTTP requests and responses as the application runs. This lets it statically analyze every line of code and dynamically examine every request/response, pinpointing vulnerabilities with context. The other options mischaracterize what IAST agents access.
NEW QUESTION # 23
Diego Ramirez, a DevSecOps engineer at a Buenos Aires payments company, wants to make sure his organization can prove, months later, exactly which commit, which pipeline run, and which approver led to a specific artifact being deployed to production - supporting both security investigations and compliance audits. Which practice provides this end-to-end traceability?
Answer: B
Explanation:
Build and deployment provenance tracking captures verifiable metadata at each pipeline stage -- including the exact source commit, build system, test results, and approver identities -- and links that metadata to the resulting artifact, enabling teams to trace a production deployment back to its complete origin chain months later for security investigations or compliance audits, which is exactly what Diego needs. Increasing pipeline parallelism improves build speed and throughput but has no bearing on traceability or provenance data. Reducing the number of environments to just production would eliminate staging and testing safeguards entirely and does not address traceability. Disabling pipeline logging to save storage costs would directly destroy the very audit trail Diego needs, making it the opposite of a correct solution. Since Diego needs verifiable, end- to-end origin tracking for deployed artifacts, build and deployment provenance tracking is correct.
NEW QUESTION # 24
(Joe Adler has recently been offered a job as a DevSecOps engineer in an IT company that develops software products and web applications for the healthcare industry. He would like to implement DevSec Hardening Framework to add a layer into the automation framework that configures operating systems and services and takes care of difficult settings, compliance guidelines, cryptography recommendations, and secure defaults.
To apply DevSec Hardening Framework to the machine, he scanned the machine using Nessus scanning tool; he then checked the compliance results before using DevSec Hardening Framework. Which of the following commands should Joe use to run DevSec Hardening Framework?.)
Answer: A
Explanation:
The DevSec Hardening Framework is commonly implemented usingChef, and it is executed locally using the chef-solo command. The -c flag specifies the configuration file (solo.rb), and the -j flag specifies the JSON attributes file (solo.json). Option A correctly uses both required parameters in the proper format. The other options incorrectly swap or misuse flags that are not supported by Chef-solo. Running this command applies secure configurations, compliance controls, and cryptographic standards to the target system. Executing DevSec Hardening Framework during the Operate and Monitor stage ensures that systems remain secure, compliant, and resilient against misconfiguration-based attacks.
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NEW QUESTION # 25
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