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| Section | Objectives |
|---|---|
| Topic 1: Cloud-Native DevSecOps | - Container and Kubernetes security - Cloud security compliance - Cloud security principles (AWS, Azure) - Serverless security |
| Topic 2: DevSecOps Pipeline - Test Stage | - Dynamic Application Security Testing (DAST) - API security testing - Security regression testing - Interactive Application Security Testing (IAST) |
| Topic 3: DevSecOps Pipeline - Build Stage | - Container security fundamentals - Software Composition Analysis (SCA) - Build pipeline security controls - Automated build security |
| Topic 4: Introduction to DevSecOps | - Shift-left security approach - DevSecOps vs traditional security - DevSecOps concepts and philosophy - Key components and toolchain |
| Topic 5: DevSecOps Governance and Culture | - Continuous improvement practices - Security policy and framework - Team roles and responsibilities - DevSecOps maturity model |
| Topic 6: DevSecOps Pipeline - Code Stage | - Static Application Security Testing (SAST) - Code review and security analysis - Secure coding practices and guidelines - Secret management and prevention |
| Topic 7: DevSecOps Pipeline - Release & Deploy Stage | - Infrastructure as Code (IaC) security - Policy as Code implementation - Configuration management security - Orchestration and deployment security |
| Topic 8: DevSecOps Pipeline - Operate & Monitor Stage | - Threat detection and response - Logging and security analytics - Continuous security monitoring - Incident response and management |
| Topic 9: Understanding DevOps Culture | - Collaboration and communication models - DevOps fundamentals and principles - DevOps lifecycle and workflows |
| Topic 10: DevSecOps Pipeline - Plan Stage | - Compliance and regulatory alignment - Security requirement engineering - Threat modeling methodologies - Risk assessment and management |
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NEW QUESTION # 80
(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: D
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 # 81
(William Edwards is working as a DevSecOps engineer at SVR Software Solution Pvt. Ltd. His organization develops software products and applications related to digital marketing. William integrated Prisma Cloud with Jenkins to detect threat-intelligence based threat detection. This integration will allow him to scan container images and serverless functions for security issues in the CI/CD pipeline. Which of the following is employed by Prisma Cloud to understand the normal network behavior of each customer's cloud environment to detect network anomalies and zero-day attacks effectively with minimal false positives?.)
Answer: C
Explanation:
Prisma Cloud leveragesadvanced unsupervised machine learningto establish baselines of normal behavior within a customer's cloud environment. By analyzing patterns in network traffic, resource interactions, and workload behavior without relying on labeled training data, it can detect anomalies and potential zero-day attacks with minimal false positives. Supervised approaches require predefined labels and known attack patterns, which limits effectiveness against new or unknown threats. Unsupervised data mining alone lacks the adaptive intelligence provided by machine learning models. Using unsupervised machine learning during the Build and Test stage enables continuous, intelligent security analysis across dynamic cloud-native workloads, supporting proactive threat detection in DevSecOps pipelines.
NEW QUESTION # 82
A multinational e-commerce company has been following the Waterfall methodology for years to develop its internal applications. However, the company has been facing challenges in keeping up with frequent market changes, leading to delays in product releases. The development team struggles with late-stage problem identification, as issues cannot be addressed until the repair phase. Additionally, customers often report that the final product does not fully meet their expectations due to misalignment in project requirements. To overcome these challenges, the company's leadership has decided to transition to a more iterative and flexible software development approach that allows continuous testing, faster releases, and incremental enhancements based on feedback. Which software development methodology should the company adopt to resolve these issues?
Answer: D
Explanation:
Agile methodology is the iterative, flexible approach: development proceeds in short increments with continuous testing, frequent releases, and feedback-driven enhancements-resolving late-stage defect discovery and requirement misalignment caused by Waterfall. The V-Model is still sequential, and DevOps is a culture/practice set rather than the requested development methodology.
NEW QUESTION # 83
(Alex Hales has been working as a DevSecOps in an IT company that develops software products and web applications for visualizing scientific data. He would like to trigger a Jenkins build job using Git post commit script or hooks that helps his team in saving time by automating commit. Therefore, before triggering the build job, Alex made changes and saved the code in the respective IDE under Git repository and added the changes in the master branch using git add command and ran the post commit script to check the status of the build. Then, he navigated to the Jenkins project and selected the "Trigger build remotely from Build triggers" radio button. It would automate the trigger every time a change gets committed to the project. Alex navigated back to Bash terminal to trigger the build job. Which of the following commands should Alex use in Bash terminal to trigger the build job?)
Answer: D
Explanation:
Git post-commit hooks are executed automatically after a commit is successfully created. To trigger the Jenkins build job configured to respond to commits, Alex must create a valid Git commit using the correct Git command. The standard command to commit changes with a message is git commit -m "commit from terminal". Running this command records the changes in the repository and triggers the post-commit hook, which in turn initiates the Jenkins build. Commands using github commit are invalid because github is not a native Git command-line utility. The -b flag is also not used with git commit. Automating build triggers during the Code stage improves efficiency, reduces manual intervention, and ensures continuous integration is consistently enforced.
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NEW QUESTION # 84
Rachel McAdams has been working as a senior DevSecOps engineer in an IT company for the past 5 years. Her organization embraced AWS cloud service due to robust security and cost- effective features offered by it. To take proactive decisions related to the security issues and to minimize the overall security risk, Rachel integrated ThreatModeler with AWS. ThreatModeler utilizes various services in AWS to produce a robust threat model. How can Rachel automatically generate the threat model of her organization's current AWS environment in ThreatModeler?
Answer: C
Explanation:
ThreatModeler's Accelerator capability allows automatic generation of threat models directly from an organization's live AWS environment. It connects to AWS services, analyzes deployed resources, and converts them into architectural diagrams and threat models without manual input.
YAML-based orchestration tools and STRIDE per Element are methodologies used for modeling but do not automatically ingest live cloud configurations. Architect is a design construct, not an automation engine. Using Accelerator during the Plan stage enables proactive, continuous threat modeling, ensuring that evolving cloud infrastructure is always assessed for risk and security gaps.
NEW QUESTION # 85
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