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| Section | Objectives |
|---|---|
| Cloud & Container Security | - Cloud security fundamentals
|
| DevSecOps Pipeline Integration | - Toolchain security
|
| Security Operations & Monitoring | - Incident response
|
| Compliance, Risk & Governance | - Compliance frameworks
|
| Secure Software Development Lifecycle (SDLC) | - Secure requirements and design principles
|
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NEW QUESTION # 123
Ryan, a VP of Engineering at a cloud-based SaaS company, is struggling with bottlenecks in the software delivery pipeline. Despite following DevOps practices, the company faces delays in feature releases, misalignment between development and business objectives, and inefficiencies in tracking work progress from initial planning to deployment. During an internal review, Ryan identifies two major areas of concern that are customer-facing operational inefficiencies, including slow service updates and lack of real-time support improvements, and development process inefficiencies, such as frequent handoffs, testing delays, and a lack of visibility into how coding efforts translate into business value. To address these challenges, Ryan has requested a structured approach that allows the organization to map, measure, and optimize the flow of value from software development to customer delivery. Which framework should Ryan adopt?
Answer: C
Explanation:
DevOps Value Stream Management (DVSM) is the framework for mapping, measuring, and optimizing the end-to-end flow of value from planning and development through deployment to customer delivery. It directly addresses Ryan's problems: visibility into how coding work translates to business value, eliminating handoff bottlenecks, and aligning development with business objectives. CI/CD, maturity models, and CALMS do not provide value-stream mapping and measurement.
NEW QUESTION # 124
John, a software developer, wants to monitor the status of a running Kubernetes service without navigating through multiple dashboards. Instead, he interacts with Kubiya using a simple command to retrieve service logs and performance metrics, ensuring that the application is running smoothly and identifying potential issues. This interaction is focused on observability, monitoring, and system performance tracking, which are key aspects of maintaining and managing deployed applications. Which CI/CD pipeline phase does this interaction fall under?
Answer: D
Explanation:
Monitoring a running service-retrieving logs and performance metrics, observability, and system health tracking-belongs to the Operations phase of the CI/CD pipeline lifecycle, where deployed applications are maintained and managed. Deployment is the act of releasing, testing happens pre-release, and feedback concerns channeling user/metrics feedback into planning.
NEW QUESTION # 125
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?
Answer: B
Explanation:
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.
NEW QUESTION # 126
Julian Meyer, a DevSecOps engineer at a Frankfurt logistics company, is asked to ensure that database credentials injected into containers at runtime differ per environment (dev, staging, production) and are never baked into the container image itself. Which principle should Julian follow?
Answer: B
Explanation:
Following the principle of externalized configuration (aligned with twelve-factor app methodology), secrets and environment-specific configuration should be injected into containers at runtime -- via mechanisms like Kubernetes Secrets, environment variables sourced from a vault, or mounted volumes -- rather than being baked into the image itself, ensuring the same image can be promoted safely across environments without embedding sensitive, environment-specific data.
Using Dockerfile ENV instructions to set credentials bakes secrets directly into image layers, which persist in image history and can be extracted even after removal. Hardcoding credentials per environment in separate image tags creates multiple images with embedded secrets and defeats the goal of a single, promotable artifact. Embedding credentials in an entrypoint script committed to source control exposes secrets in version history, a serious security anti-pattern.
Because Julian needs credentials that vary per environment without being embedded in the image, externalizing configuration and injecting secrets at runtime is correct.
NEW QUESTION # 127
(Frances Fisher joined TerraWolt Pvt. Ltd. as a DevSecOps engineer in 2020. On February 1, 2022, his organization became a victim of cyber security attack. The attacker targeted the network and application vulnerabilities and compromised some important functionality of the application. To secure the organization against similar types of attacks, Franches used a flexible, accurate, low maintenance vulnerability management and assessment solution that continuously scans the network and application vulnerabilities and provides daily updates and specialized testing methodologies to catch maximum detectable vulnerabilities.
Based on the above-mentioned information, which of the following tools is Frances using?)
Answer: D
Explanation:
BeSECURE is a vulnerability management and assessment solution designed for continuous scanning of both network and application vulnerabilities. It emphasizes flexibility, accuracy, low maintenance overhead, and frequent updates to vulnerability detection mechanisms. These characteristics align directly with the scenario described, where the organization requires continuous scanning, daily updates, and specialized testing methodologies to detect a wide range of vulnerabilities. SonarQube focuses on static code quality and security analysis during development, Black Duck is primarily used for open-source software composition analysis, and Shadow Daemon is a web application firewall rather than a comprehensive vulnerability management solution. Using BeSECURE during the Operate and Monitor stage allows organizations to maintain ongoing visibility into their security posture, detect new vulnerabilities as they emerge, and reduce the likelihood of repeat attacks by addressing weaknesses proactively.
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NEW QUESTION # 128
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