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ECCouncil EC-Council Certified DevSecOps Engineer (ECDE) Sample Questions (Q24-Q29):

NEW QUESTION # 24
(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?)

A. BeSECURE.
B. Black Duck.
C. Shadow Daemon.
D. SonarQube.

Answer: A

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 # 25
(Robert Wheeler has been working as a DevSecOps engineer in an IT company for the past 5 years. His organization develops software products and web applications related to AutoCAD. Rob would like to integrate Rapid7 tCell Next-Gen Cloud WAF and RASP Tool with AWS CloudFront to protect application by identifying suspicious actors, enforcing content security policies (CSPs), and securing against unvalidated HTTP redirections on web applications. How can Rob deploy the tCell agent as a CloudFormation stack into his organization AWS account?.)

A. By plugging into CloudFormation through Lambda@Edge.
B. By plugging into CloudFront through Lambda@Edge.
C. By plugging into CloudFormation through Lambda Function.
D. By plugging into CloudFront through Lambda Function.

Answer: B

Explanation:
When integrating security controls at the CDN edge with AWS CloudFront, the typical deployment model usesLambda@Edge, which allows code to execute at CloudFront edge locations on viewer request/response or origin request/response events. Deploying the tCell agent "as a CloudFormation stack" describes packaging the required AWS resources (IAM roles, functions, permissions, and CloudFront associations) into infrastructure-as-code, but the actual attachment point for CloudFront request/response processing is Lambda@Edge. Option C correctly reflects this: "plugging into CloudFront through Lambda@Edge." Standard Lambda functions run in regional AWS environments and cannot directly run at CloudFront edge locations in the same way; therefore, "CloudFront through Lambda Function" is not the best match for edge enforcement needs like CSP handling and redirect protections. Options that claim "plugging into CloudFormation" misunderstand CloudFormation's role: it deploys resources, but it is not the runtime integration point. Hence, CloudFront + Lambda@Edge is the correct deployment approach.

NEW QUESTION # 26
(Paul McCartney has been working as a senior DevSecOps engineer in an IT company over the past 5 years.
He would like to integrate Conjur secret management tool into the CI/CD pipeline to secure the secret credentials in various phases of development. To integrate Conjur with Jenkins, Paul downloaded Conjur.hpi file and uploaded it to the Upload Plugin section of Jenkins. Paul declared a policy branch using a code and saved it as a .yml file. Which of the following commands should Paul use to load this policy in Conjur root?)

A. $ conjur policy load -p root -f < file-name >.
B. $ conjur policy load -f root -b < file-name >.
C. $ conjur policy load -b root -f < file-name >.
D. $ conjur policy load -f root -p < file-name >.

Answer: C

Explanation:
Conjur policies define access controls, authentication rules, and secret variables, and they must be loaded into the correct policy branch. The conjur policy load command uses the -b flag to specify thepolicy branchand the -f flag to specify thepolicy file. To load a policy into the root branch, the correct command is conjur policy load -b root -f <file-name>. Options that reverse or misuse these flags are invalid and would either fail or load the policy incorrectly. Loading policies correctly during the Build and Test stage ensures that Jenkins pipelines can securely access secrets at runtime, enforcing centralized secret management, least-privilege access, and compliance with security requirements.
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NEW QUESTION # 27
(George Lennon is working as at InfoWorld Pvt. Solution as a DevSecOps engineer. His colleague, Sarah Mitchell, is a senior software developer. George told her to participate in a bug bounty program conducted by AWS for python and Java code developers. He informed Sarah that the challenge is a fun-based solution for bashing bugs, encouraging team building, and bringing friendly competition to enhance the quality of the code and application performance. Acting on George's advice, Sarah participated in the bug bounty program and scored the highest points in the challenge, and she received a reward of $10,000. Based on the given information, which of the following bug bounty programs did Sarah participate?.)

A. AWS BugFixer.
B. AWS BugHunt.
C. AWS BugFinder.
D. AWS BugBust.

Answer: D

Explanation:
The description matches AWSBugBust, which AWS positions as a gamified, team-based bug fixing challenge rather than a classic external "bug bounty" for finding vulnerabilities in AWS itself. The key hints are "fun-based solution for bashing bugs," "encouraging team building," and "friendly competition," along with scoring points and awarding prizes. BugBust focuses on improving code quality by motivating developers to find and fix issues (often via static analysis findings) in languages like Java and Python.
Participants earn points for remediations and compete on leaderboards, which aligns directly with Sarah
"scored the highest points" and received a cash reward. The other names (BugFixer, BugFinder, BugHunt) are plausible-sounding but do not match the commonly referenced AWS gamified program described. In a DevSecOps context, this type of program supports culture by incentivizing secure coding habits, encouraging shared ownership of quality, and making remediation visible and rewarding across the engineering team.
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NEW QUESTION # 28
(Kevin Williamson is working as a DevSecOps engineer in an IT company located in Los Angles, California.
His team has integrated Jira with Jenkins to view every issue on Jira, including the status of the latest build or successful deployment of the work to an environment. Which of the following can Kevin use to search issues on Jira?)

A. Atlassian query language.
B. Jira query language.
C. Structured query language.
D. Java query language.

Answer: A

Explanation:
Jira usesAtlassian Query Language, commonly referred to as JQL, to search, filter, and manage issues. This query language allows users to create advanced searches using fields such as project, status, assignee, priority, and custom attributes. Although often informally called Jira Query Language, the official name among the given options is Atlassian Query Language. SQL and Java query language are unrelated and not used for issue searching in Jira. Using JQL during the Code stage improves traceability between source code commits, builds, and tracked issues, enabling teams to monitor progress, validate deployment status, and maintain alignment between development and delivery activities.
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NEW QUESTION # 29
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