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NEW QUESTION # 87
Chidinma Eze, a DevSecOps engineer at a Lagos e-commerce company, needs to define measurable targets - such as "95% of critical vulnerabilities remediated within 7 days" - that her security and engineering teams are jointly accountable for meeting. What are these targets called?
Answer: B
Explanation:
Security Service Level Objectives (Security SLOs) are specific, measurable security-related targets -- such as vulnerability remediation timeframes based on severity -- that define shared accountability between security and engineering teams, embedding security expectations into the operational culture of DevSecOps, which matches exactly what Chidinma is defining. Service Level Agreements (SLAs) are typically formal, often externally facing contractual commitments (often with penalties) between a provider and a customer, which is broader and less specifically tied to internal security remediation accountability than an SLO. Sprint velocity metrics measure a team's rate of completing story points during sprints and have nothing to do with vulnerability remediation timelines. Network uptime guarantees pertain to availability commitments, not vulnerability management targets. Since Chidinma is defining internal, measurable vulnerability- remediation targets for shared team accountability, Security SLOs is the correct answer.
NEW QUESTION # 88
Sarah Wright has recently joined a multinational company as a DevSecOps engineer. She has created a container and deployed a web application in it. Sarah would like to stop this container.
Which of the following commands stop the running container created by Sarah Wright?
Answer: A
Explanation:
When working inside an interactive Docker container session, the container continues running as long as its primary foreground process is active. Executing the exit command terminates the shell session, which in turn stops the container if no other foreground processes are running. The kill command requires a process identifier and is not used in this context, while clear simply clears the terminal screen and does not affect container execution. The stop command is not a valid shell command inside a container. Properly stopping containers during the Operate and Monitor stage helps free system resources, prevent unintended service exposure, and maintain a clean runtime environment. This practice aligns with container lifecycle management best practices and reduces operational risk.
NEW QUESTION # 89
(Amy Ryan is a DevSecOps engineer in an IT company that develops software products and web applications related to cyber security. She is using Anchore tool for container vulnerability scanning and Software Bill of Materials (SBOM) generation. It helped her to perform quick scanning and generating a list of known vulnerabilities from an SBOM, container image, or project directory. Which of the following commands should Amy run to include software from all the image layers in the SBOM?.)
Answer: C
Explanation:
Syft is used by Anchore to generate Software Bill of Materials (SBOMs) from container images and directories. By default, Syft may only analyze the squashed image view. Using the --scope all-layers flag instructs Syft to include software components fromall image layers, ensuring comprehensive visibility into dependencies introduced at every stage of image creation. The other options use invalid syntax or unsupported flags. Including all layers during SBOM generation improves vulnerability detection accuracy and supports compliance requirements, making it a critical practice during the Build and Test stage.
NEW QUESTION # 90
Joyce Vincent has been working as a senior DevSecOps engineer at MazeSoft Solution Pvt. Ltd.
She would like to integrate Trend Micro Cloud One RASP tool with Microsoft Azure to secure container- based application by inspecting the traffic, detecting vulnerabilities, and preventing threats. In Microsoft Azure PowerShell, Joyce created the Azure container instance in a resource group (ACI) (named "aci-test-closh") and loaded the container image to it. She then reviewed the deployment of the container instance. Which of the following commands should Joyce use to get the logging information from the container?
Answer: C
Explanation:
Azure Container Instances (ACI) exposes container logs via the Azure CLI using the az container logs command. To retrieve logs, you must provide the resource group and the container group name using the long-form parameters --resource-group and --name. Option A matches the correct CLI structure and parameter format: az container logs --resource-group ACI --name aci- test-closh. Options B and D incorrectly use single-dash forms (-resource-group and -name), which are not valid for these long option names. Options C and D incorrectly use azure instead of az; the Azure CLI command group is invoked with az, not azure. Getting logs after deployment review is a critical Operate and Monitor activity: it helps confirm the container started correctly, diagnose runtime errors, and validate that runtime protection (such as a RASP/micro-agent) is functioning. This visibility supports faster incident response and helps ensure the containerized workload remains secure and stable in its runtime environment.
NEW QUESTION # 91
Michael Johnson, a DevSecOps lead at a software development company, wants to ensure that security policies remain intact during the software deployment phase. His team has observed that manual security checks are prone to errors and inefficiencies, leading to misconfigurations and policy deviations. To address this, they seek an AI-powered solution that can manage security configurations, detect policy violations, and automate security testing within the development environment, ensuring a secure and compliant deployment process. Which of the following AI-powered technologies should Michael implement?
Answer: C
Explanation:
An AI-Powered Vulnerability Management tool manages security configurations, detects policy violations, prioritizes risks, and automates security testing across the environment-fitting Michael's deployment-phase needs. AI-powered SAST/DAST/RASP focus on code scanning or runtime self-protection specifically, not on managing configurations and enforcing security policy compliance.
NEW QUESTION # 92
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