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NEW QUESTION # 71
Kenji Watanabe, a DevSecOps engineer at a Tokyo gaming studio, needs a testing tool that combines code instrumentation with live traffic analysis, so it can pinpoint the exact line of vulnerable code triggered when a QA tester clicks through the application during functional testing. Which approach should Kenji choose?
Answer: B
Explanation:
IAST works by instrumenting the application with agents that monitor code execution from within while the application is exercised through normal functional or QA testing, allowing it to correlate detected vulnerabilities directly back to specific lines of source code in real time -- precisely what Kenji needs. Penetration testing is typically a manual or semi-manual black-box/gray-box assessment performed by security testers simulating real-world attacks, and does not inherently tie findings to exact source lines through instrumentation during routine QA clicks. Threat modeling is a design-time planning activity performed before code execution. Chaos engineering intentionally injects failures into production or production-like systems to test resilience, not to detect code-level vulnerabilities during functional testing. Because Kenji wants instrumented, line- level detection during live QA interaction, IAST is correct.
NEW QUESTION # 72
(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?.)
Answer: D
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 # 73
(Bruce Altman is a DevSecOps engineer at a web application development company named TechSoft Pvt.
Ltd. Due to robust security features provided by Microsoft Azure, in January of 2020, his organization migrated all the workloads from on-prem to Azure. Using Terraform configuration management tool, Bruce created a resource group and virtual machine (VM) in Azure; he then deployed a web application in the VM.
Within an hour, Bruce's team leader informed him that he detected various security issues in the application code and asked him to destroy the infrastructure that he has created in Microsoft Azure using Terraform.
Which of the following commands can Bruce use to destroy the infrastructure created using Terraform?.)
Answer: B
Explanation:
Terraform provides the terraform destroy command to remove all infrastructure resources defined in the Terraform configuration files. This command safely tears down resources such as virtual machines, networks, and resource groups by consulting the state file and executing destruction in the correct dependency order.
Commands like terraform kill, terraform kill-infra, and terraform destroy-infra do not exist in Terraform's CLI. Using terraform destroy during the Release and Deploy stage allows DevSecOps teams to quickly remediate risk by removing insecure or non-compliant infrastructure, reinforcing the importance of Infrastructure as Code and controlled lifecycle management.
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NEW QUESTION # 74
A DevOps team is integrating Jira with GitHub to track code changes linked to Jira issues. They have created an issue in Jira for tracking development tasks, pushed the application source code to GitHub using Git Bash commands, registered a new OAuth application in GitHub and copied the Client ID and Client Secret, and committed code changes to GitHub. After refreshing the Jira page, the team expects the commit to appear under commits in the corresponding Jira issue, but the commit details are missing. Which step do you think the team missed to perform for successful integration of Jira with GitHub?
Answer: C
Explanation:
For Jira-GitHub integration, after creating the OAuth app, the team must install and authorize the GitHub for Jira app (connecting the GitHub organization to the Jira site) so that commits referencing Jira issue keys appear in issues. Refreshing the page, recommitting, or regenerating credentials does not establish the missing app connection.
NEW QUESTION # 75
SinCaire is a software development company that develops web applications for various clients.
To measure the successful implementation of DevSecOps, the organization enforced U.S.
General Service Administrator (GSA) high-value DevSecOps metrics. Which of the following metrics implemented by SinCaire can measure the time between the code commit and production, and tracks the bug fix and new features throughout the development, testing, and production phases?
Answer: B
Explanation:
Change lead time measures the duration between a code commit and its successful deployment into production. This metric tracks how efficiently new features, bug fixes, and changes move through development, testing, and release stages. It is a key DevSecOps performance indicator used to assess pipeline efficiency and the effectiveness of automation and security integration.
Mean time to recovery focuses on restoring service after incidents, change volume measures the number of changes rather than delivery speed, and time to value is a broader business metric.
Change lead time directly reflects how well DevSecOps practices enable rapid yet secure delivery, making it the correct metric for measuring commit-to-production flow across all phases.
NEW QUESTION # 76
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