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| Section | Objectives |
|---|---|
| Compliance, Risk & Governance | - Compliance frameworks
|
| Secure Software Development Lifecycle (SDLC) | - Secure coding practices
|
| Security Operations & Monitoring | - Incident response
|
| Cloud & Container Security | - Container security
|
| DevSecOps Pipeline Integration | - Toolchain security
|
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NEW QUESTION # 62
Scott Morrison is working as a senior DevSecOps engineer at SUTRE SOFT Pvt. Ltd. His organization develops software and applications for IoT devices. Scott created a user story; he then created abuser stories under the user story. After that, he created threat scenarios under the abuser story, and then he created test cases for the threat scenarios. After defining the YAML, Scott would like to push the user-story driven threat model to the ThreatPlaybook server. Which of the following command Scott should use?
Answer: A
Explanation:
ThreatPlaybook uses the playbook apply feature command to push user-story-driven threat models to the server. The -f flag specifies the path to the YAML file containing the defined user stories, abuser stories, and threat scenarios, while the -p flag specifies the target project. Option C correctly combines these parameters. The -y flag is invalid in this context, and options that misuse -t instead of -p do not correctly identify the project destination. Executing this command during the Plan stage enables teams to integrate threat modeling early, ensuring security risks are identified and addressed before development and deployment proceed.
NEW QUESTION # 63
Patrick Fisher is a DevSecOps engineer in an IT company that develops software products and web applications. He is using IAST to analyze code for security vulnerabilities and to view real- time reports of the security issues. Patrick is using IAST in development, QA, and production stages to detect the vulnerabilities from the early stage of development, reduce the remediation cost, and keep the application secure. How can IAST perform SAST on every line of code and DAST on every request and response?
Answer: D
Explanation:
Interactive Application Security Testing (IAST) works by instrumenting the application at runtime, allowing it to observe both the source code execution paths and the HTTP requests and responses flowing through the application. Because of this dual visibility, IAST can analyze every executed line of code (similar to SAST) while also monitoring real-time application behavior (similar to DAST). This unique capability enables highly accurate vulnerability detection with fewer false positives. The other options do not correctly explain how IAST achieves this hybrid analysis. Access to both code and HTTP traffic is what allows IAST to bridge static and dynamic testing techniques, making it highly effective across development, QA, and production environments.
NEW QUESTION # 64
A software development company relies on Jenkins to automate its CI/CD workflows. Recently, the DevOps team identified a need for a new plugin that would improve Jenkins maintainability and reliability, ensure critical data is retained for future use, support scheduled operations to improve workflow management, and provide flexibility in configuring what is stored Which Jenkins plugin would best suit their needs?
Answer: D
Explanation:
ThinBackup is the Jenkins plugin designed for backing up Jenkins configurations and critical data: it improves maintainability and reliability, retains critical data for future restore, supports scheduled (periodic) backups, and lets you flexibly configure what gets stored. Job DSL, Pipeline, and Performance Publisher serve unrelated purposes.
NEW QUESTION # 65
Carlos Mendoza, a DevSecOps engineer at a Mexico City retail chain, wants his organization to define, in a single collaborative document, the specific security responsibilities that shift from the cloud provider to his own team when using a managed Kubernetes service (like EKS) versus a fully self-hosted cluster. Which concept is Carlos applying?
Answer: C
Explanation:
The Shared Responsibility Model explicitly delineates which security responsibilities belong to the cloud service provider (such as securing the underlying physical infrastructure and, for managed Kubernetes, the control plane) versus the customer (such as securing workloads, IAM configurations, network policies, and data), and clarifying this division is precisely what Carlos is doing when comparing a managed service like EKS to a self-hosted cluster. Zero Trust Architecture is a security philosophy requiring continuous verification of identity and context for every access request, regardless of network location, but does not itself define provider-versus- customer responsibility boundaries. The Principle of Least Privilege dictates that entities should be granted only the minimum access necessary to perform their function, a distinct concept from responsibility division between provider and customer. Defense in Depth refers to layering multiple independent security controls throughout a system, which is a general strategy rather than a delineation of provider/customer duties. Because Carlos is specifically defining what security duties shift between provider and customer for managed versus self-hosted services, the Shared Responsibility Model is correct.
NEW QUESTION # 66
Amara Nwosu, a security operations engineer at a Lagos telecom, wants to aggregate logs from applications, containers, and cloud infrastructure into a centralized platform where she can correlate events and detect anomalous patterns indicating a potential breach. Which category of tool should Amara deploy?
Answer: C
Explanation:
A SIEM platform (such as Splunk, IBM QRadar, or Microsoft Sentinel) centralizes log and event data from diverse sources -- applications, containers, network devices, and cloud infrastructure -- and applies correlation rules, analytics, and often machine learning to detect anomalous patterns that may indicate a security incident, matching exactly what Amara needs for the Monitor stage. A SAST scanner analyzes static source code for vulnerabilities and has no log correlation or anomaly detection capability. A secrets vault securely stores and manages credentials, unrelated to log aggregation or event correlation. A load testing tool measures application performance under simulated user load and does not perform security event correlation. Since Amara needs centralized log correlation and anomaly detection across multiple sources, a SIEM is correct.
NEW QUESTION # 67
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