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| Certification Vendor: | EC-Council |
|---|---|
| Exam Name: | EC-Council Certified DevSecOps Engineer (ECDE) Exam |
| Exam Number: | 312-97 |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 100 |
| Passing Score: | 70% |
| Exam Duration: | 240 minutes |
| Available Languages: | Japanese, Korean, English, Simplified Chinese |
| Exam Price: | $550 USD |
| Exam Format: | Multiple Choice Questions |
| Recommended Training: | EC-Council Certified DevSecOps Engineer Official Training |
| Exam Registration: | EC-Council Official Registration |
| Sample Questions: | ECCouncil 312-97 Sample Questions |
| Exam Way: | Online via EC-Council Exam Portal or ECC Exam Center |
| Pre Condition: | 2 years of work experience in information security domain if not attending official training; $100 USD non-refundable application fee required |
| Official Syllabus URL: | https://www.eccouncil.org/train-certify/certified-devsecops-engineer-ecde/ |
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NEW QUESTION # 110
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: B
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 # 111
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: B
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 # 112
Ryan Peterson is a cloud security architect at SecureCloud Inc., responsible for designing and securing the company's AWS cloud environment. To automate and enhance the security design, Ryan's team has decided to integrate ThreatModeler with AWS. This integration will help them identify and mitigate security risks early in the cloud architecture phase. ThreatModeler provides two key components, Architect and Accelerator, which assist AWS users in modeling threats and streamlining security integration. While integrating ThreatModeler with AWS Accelerator, Ryan explores the available methods for integration. Which of the following is a valid way for ThreatModeler to integrate with AWS Accelerator?
Answer: C
Explanation:
ThreatModeler's AWS Accelerator integrates with AWS via an IAM role, which grants ThreatModeler the permissions needed to discover and model the AWS environment securely. IAM-role-based cross-account access is the standard, supported integration method. Lambda deployment, Chef, and API Gateway configuration are not the documented integration mechanisms for ThreatModeler Accelerator.
NEW QUESTION # 113
(Kevin Williamson has been working as a DevSecOps engineer in an MNC company for the past 5 years. In January of 2017, his organization migrated all the applications and data from on-prem to AWS cloud due to the robust security feature and cost-effective services provided by Amazon. His organization is using Amazon DevOps services to develop software products securely and quickly. To detect errors in the code and to catch bugs in the application code, Kevin integrated PHPStan into the AWS pipeline for static code analysis. What will happen if security issues are detected in the application code?.)
Answer: D
Explanation:
In AWS-based DevSecOps pipelines, static analysis tools such as PHPStan commonly send their results to AWS services through event-driven processing. When PHPStan detects security issues, the results are typically parsed and processed by anAWS Lambda function, which can transform findings and forward them to AWS Security Hub. CloudFormation is used for infrastructure provisioning, AWS Config evaluates configuration compliance, and Elastic Beanstalk is an application deployment service-none of these are suited for parsing and relaying scan results. Lambda functions provide a scalable and serverless way to handle scan outputs automatically. This integration ensures that security findings are centralized, visible, and actionable, aligning with secure automation practices during the Code stage.
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NEW QUESTION # 114
Emma Watson, a DevSecOps engineer at a cybersecurity firm, is investigating delays in their software deployment process. She notices that it takes a significant amount of time for newly committed code to move through development, testing, and production. To improve efficiency, she wants to analyze patterns and pinpoint specific areas causing these delays. Which metric should she use to measure the time from code commit to production?
Answer: B
Explanation:
Change lead time measures the elapsed time from code commit to successful deployment in production, precisely the metric Emma needs to pinpoint where delays occur across development, testing, and release. Change volume counts how many changes occur, availability measures uptime, and customer issue volume tracks reported problems-none measure commit-to-production time.
NEW QUESTION # 115
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