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The software is designed for use on a Windows computer. This software helps hopefuls improve their performance on subsequent attempts by recording and analyzing EC-Council Certified DevSecOps Engineer (ECDE) (312-97) exam results. Like the actual ECCouncil 312-97 certification exam, EC-Council Certified DevSecOps Engineer (ECDE) (312-97) practice exam software has a certain number of questions and allocated time to answer. Any questions or concerns can be directed to the TestPDF support team, who are available 24/7. However, the EC-Council Certified DevSecOps Engineer (ECDE) (312-97) exam questions software product license must be validated before use.
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>> 312-97 Latest Practice Questions <<
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NEW QUESTION # 37
Emma Williams, a DevSecOps engineer at CyberTech Solutions, is responsible for enhancing security in the Plan stage of the DevSecOps pipeline. To ensure security is embedded early, she performs threat modeling to identify potential risks, architectural flaws, high-risk components, and necessary security controls before development begins. Additionally, Emma ensures that developers receive secure code training and are educated on how to effectively use security tools in their workflow. Which of the following security activities is a key part of the DevSecOps Plan stage and helps in filtering relevant security requirements based on business functionality and performance?
Answer: C
Explanation:
Understanding Requirements is a key Plan-stage security activity: it filters and derives relevant security requirements based on business functionality, compliance needs, and performance expectations, alongside threat modeling and secure code training. Continuous scanning and code review occur later in the pipeline, and 'designing security tools' is not a Plan-stage activity.
NEW QUESTION # 38
Aditi Sharma, a DevSecOps engineer at a Pune SaaS company, wants to define security policies as code - such as "no container may run with privileged: true" - that are automatically enforced by the Kubernetes API server before any non-compliant resource is admitted to the cluster. Which technology should Aditi use?
Answer: C
Explanation:
Open Policy Agent, typically deployed as Gatekeeper in Kubernetes, allows security and platform teams to define declarative "policy as code" rules -- such as disallowing privileged containers -- that are enforced by a validating admission webhook, automatically rejecting any resource creation request that violates policy before it is ever admitted to the cluster, exactly matching Aditi's requirement. Prometheus alerting rules generate notifications based on collected metrics crossing defined thresholds but do not proactively block non-compliant resources from being created. Grafana dashboards visualize metrics data for human review and have no enforcement capability whatsoever. A Jenkins build agent executes CI/CD pipeline jobs and is unrelated to Kubernetes admission-time policy enforcement. Since Aditi needs automated, pre-admission policy enforcement in Kubernetes, OPA/Gatekeeper is correct.
NEW QUESTION # 39
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 # 40
(Sofia Coppola has been working as a senior DevSecOps engineer in an MNC company located in Denver, Colorado. In January of 2020, her organization migrated all the workloads from on-prem to AWS cloud environment due to the robust security feature and cost-effective services offered by AWS. Which of the following is an Amazon Web Services-hosted version control tool that Sofia can use to manage and store assets in the AWS cloud?.)
Answer: D
Explanation:
AWS CodeCommit is a fully managed, AWS-hosted source control service that allows teams to store and manage source code, binaries, and other digital assets securely in the cloud. It supports Git-based repositories and integrates seamlessly with other AWS DevOps services such as CodeBuild, CodePipeline, and CodeDeploy. CodePipeline orchestrates CI/CD workflows, CodeBuild performs build and test operations, and CodeDeploy automates application deployment-but none of these are version control systems. For organizations migrating from on-prem to AWS, CodeCommit provides fine-grained access control using IAM, encryption at rest and in transit, and high availability without the need to manage infrastructure. Using CodeCommit during the Code stage supports secure collaboration, version tracking, and centralized source control aligned with DevSecOps best practices.
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NEW QUESTION # 41
A global e-commerce company is struggling with frequent code integration issues and delayed software releases due to manual testing and deployment processes. Developers push code changes multiple times a day, but without an automated system in place, these changes often introduce bugs and inconsistencies in production. The company's leadership decides to adopt a structured DevOps approach to streamline development and deployment. They want a solution where code is frequently integrated into a shared repository, automated tests validate the changes, and every build remains in a deployable state. However, deployments should still require manual intervention before going live to ensure stability and compliance with business requirements. Which DevOps practice should the company implement?
Answer: C
Explanation:
Continuous Delivery keeps every build in a deployable state-code is frequently integrated, automatically built and tested-but the actual release to production still requires a manual approval/step, matching the company's need for stability and business compliance. Continuous Deployment would push every passing build to production automatically, which they explicitly don't want.
NEW QUESTION # 42
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