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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: DevSecOps Toolchain | 20% | - Monitoring and Logging
|
| Topic 2: Infrastructure as Code (IaC) Security | 15% | - Cloud Security
|
| Topic 3: DevSecOps Practices | 20% | - Continuous Integration and Continuous Delivery (CI/CD)
|
| Topic 4: Application Security Testing | 20% | - Software Composition Analysis (SCA)
|
| Topic 5: Compliance and Governance | 15% | - Audit and Reporting
|
| Topic 6: Introduction to DevSecOps | 10% | - DevOps and DevSecOps Concepts
|
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NEW QUESTION # 138
(Trevor Noah has been working as a DevSecOps engineer in an IT company located in Detroit, Michigan. His team leader asked him to perform continuous threat modeling using ThreatSpec. To do so, Trevor installed and initialized ThreatSpec in the source code repository; he then started annotating the source code with security issues, actions, or concept. Trevor ran ThreatSpec against the application code and he wants to generate the threat model report. Which of the following command Trevor should use to generate the threat model report using ThreatSpec?.)
Answer: A
Explanation:
ThreatSpec is a command-line tool that follows standard Unix-style conventions, where commands are lowercase. To generate a threat model report after annotating source code, the correct command is threatspec report. Commands using incorrect casing or capitalization will fail because the CLI is case-sensitive. Options A, B, and C incorrectly capitalize either the command or the subcommand. Generating threat model reports during the Plan stage allows DevSecOps teams to continuously identify, document, and visualize security threats as the code evolves. This practice embeds threat modeling directly into the development lifecycle, enabling early risk identification and more secure system design decisions.
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NEW QUESTION # 139
SecureSphere Ltd. recently experienced a critical vulnerability in their CI/CD pipeline during a deployment. A malicious actor exploited a misconfigured script, injecting malicious code into the pipeline. The incident resulted in the unauthorized deployment of compromised applications. The DevSecOps team quickly responded by integrating a tool that used AI-driven vulnerability detection and real-time code analysis to identify and remediate similar issues before deployment. Identify the tool SecureSphere Ltd. likely implemented to prevent such vulnerabilities in the future.
Answer: C
Explanation:
GitLab Duo is GitLab's suite of AI capabilities, including AI-assisted vulnerability explanation and resolution and real-time code assistance, which fits SecureSphere's need for AI-driven vulnerability detection and real-time code analysis in the pipeline. Veracode and SonarQube are analysis tools without the described AI-driven assistance, and Kubiya is a conversational DevOps assistant, not a code-vulnerability tool.
NEW QUESTION # 140
(Rachel Maddow has been working at RuizSoft Solution Pvt. Ltd. for the past 7 years as a senior DevSecOps engineer. To develop software products quickly and securely, her organization has been using AWS DevOps services. On January 1, 2022, the software development team of her organization developed a spring boot application with microservices and deployed it in AWS EC2 instance. Which of the following AWS services should Rachel use to scan the AWS workloads in EC2 instance for security issues and unintended network exposures?.)
Answer: C
Explanation:
AWS Inspector is a managed vulnerability assessment service designed specifically to scan workloads running on Amazon EC2 instances and container images for security vulnerabilities and unintended network exposures. It automatically evaluates instances against known vulnerabilities and security best practices, providing detailed findings and risk severity levels. AWS WAF protects web applications from common web exploits but does not perform host-based vulnerability scanning. AWS Config tracks configuration changes and compliance but does not actively scan workloads for vulnerabilities. Amazon CloudWatch focuses on monitoring logs, metrics, and alarms rather than security scanning. For a Spring Boot microservices application deployed on EC2, AWS Inspector is the correct choice to continuously assess security posture during the Build, Deploy, and Operate phases of the DevSecOps pipeline.
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NEW QUESTION # 141
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: C
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 # 142
(Alexander Hamilton has been working as a senior DevSecOps engineer in an IT company located in Greenville, South Carolina. In January of 2012, his organization because a victim of a cyber security attack and incurred a tremendous loss. Alexander's organization immediately adopted AWS cloud-based services after the attack to develop robust software products securely and quickly. To detect security issues in code review, Alexander would like to integrate SonarQube with AWS Pipeline; therefore, he created a pipeline in AWS using CloudFormation pipeline template. Then, he selected SonarQube tool from the tools dropdown, provided the required stack parameters, and also provided email address for receiving email notifications of changes in pipeline status and approvals. He deployed the pipeline after entering the required information.
What will happen when changes are committed in the application repository?.)
Answer: D
Explanation:
When changes are committed to a repository connected to an AWS Pipeline, the pipeline execution is triggered and monitored usingAmazon CloudWatch events. CloudWatch captures pipeline state changes, execution status, and approval notifications, enabling real-time monitoring and alerting. AWS Config tracks resource configuration changes, BinSkim is a binary analysis tool, and Security Hub aggregates security findings but does not directly track pipeline execution events. Integrating SonarQube into AWS Pipeline ensures static code analysis runs automatically upon commits, while CloudWatch provides visibility into pipeline activity. This setup strengthens security automation during the Code stage by ensuring every commit is analyzed and monitored.
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NEW QUESTION # 143
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