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NEW QUESTION # 102
Charles Rettig has been working as a DevSecOps engineer in an IT company that develops software and web applications for IoT devices. He integrated Burp Suite with Jenkins to detect vulnerabilities and evaluate attack vectors compromising web applications. Which of the following features offered by Burp Suite minimizes false positives and helps detect invisible vulnerabilities?
Answer: C
Explanation:
Burp Suite's Out-of-band Application Security Testing (OAST) feature is designed to detect vulnerabilities that do not produce immediate or visible responses during standard scanning.
OAST works by triggering interactions such as DNS or HTTP callbacks, which occur outside the normal request-response cycle. This capability enables detection of blind vulnerabilities like blind SQL injection and server-side request forgery. Because findings are based on confirmed external interactions, OAST significantly reduces false positives. The other options listed are not valid Burp Suite features. Integrating OAST during the Build and Test stage improves the accuracy of dynamic security testing and ensures deeper coverage of complex and hard-to-detect vulnerability classes before applications are released.
NEW QUESTION # 103
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 an AWS 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.
NEW QUESTION # 104
Viktor Petrov, a DevSecOps engineer at a Sofia energy company, discovers that a critical zero- day vulnerability has been disclosed in a widely used logging library that his organization's applications depend on. He needs to quickly identify every application and service across the company using that specific library and version. Which artifact/practice enables Viktor to do this quickly?
Answer: D
Explanation:
Because SBOMs provide a structured, centrally queryable inventory of every component and version used across an organization's applications, Viktor can rapidly search across aggregated SBOM data to pinpoint exactly which applications and services depend on the vulnerable logging library and version, enabling a fast, targeted response to the zero-day. Manually grepping across all repositories is slow, error-prone, and does not account for compiled dependencies or transitive/nested libraries that may not appear directly in source code. Rebuilding all applications from scratch is an extreme, resource-intensive overreaction that doesn't first establish which systems are actually affected. Disabling all logging company-wide would cause significant operational and monitoring blind spots and does not address the underlying vulnerable dependency. Since Viktor needs fast, accurate identification of affected systems, querying existing SBOM inventories is correct.
NEW QUESTION # 105
(Jason Wylie has been working as a DevSecOps engineer in an IT company located in Sacramento, California. He would like to use Jenkins for CI and Azure Pipelines for CD to deploy a Spring Boot app to an Azure Container Service (AKS) Kubernetes cluster. He created a namespace for deploying the Jenkins in AKS, and then deployed the Jenkins app to the Pod. Which of the following commands should Jason run to see the pods that have been spun up and running?)
Answer: D
Explanation:
Kubernetes uses namespaces to logically isolate resources such as pods, services, and deployments. When an application like Jenkins is deployed into a specific namespace, the correct way to view the pods running in that namespace is by using the -n (or --namespace) flag with the kubectl get pods command. The command kubectl get pods -n jenkins instructs Kubernetes to list all pods in the "jenkins" namespace. The other options use invalid or unrelated flags that are not supported for namespace selection. Verifying pod status during the Release and Deploy stage is essential to ensure that applications have been deployed successfully and are running as expected before exposing services or proceeding to monitoring. This step supports deployment validation and operational readiness in Kubernetes-based DevSecOps environments.
NEW QUESTION # 106
During a security review of a software deployment, the security team identified a critical vulnerability in the source code after the application was already in production. The development team had assumed their pipeline was secure, as security testing was part of the CI/CD workflow. However, further investigation revealed that only dynamic analysis was conducted post-build, leaving potential code-level vulnerabilities undetected before deployment. To mitigate this risk, the DevSecOps lead proposed integrating a Static Application Security Testing (SAST) tool to detect security flaws early in the Software Development Life Cycle (SDLC) and prevent vulnerabilities from reaching production. Which approach ensures the effective use of SAST?
Answer: B
Explanation:
Effective SAST integration means scanning source code as part of the build and enforcing quality gates-breaking the build on critical issues-so vulnerabilities are caught early in the SDLC and never reach production. Running SAST after deployment contradicts shift-left, scanning without enforcement lets findings be ignored, and limiting SAST to dependencies ignores first-party code flaws.
NEW QUESTION # 107
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