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| Section | Objectives |
|---|---|
| Topic 1: DevSecOps Pipeline - Release & Deploy Stage | - Configuration management security - Policy as Code implementation - Infrastructure as Code (IaC) security - Orchestration and deployment security |
| Topic 2: Understanding DevOps Culture | - DevOps fundamentals and principles - DevOps lifecycle and workflows - Collaboration and communication models |
| Topic 3: Cloud-Native DevSecOps | - Container and Kubernetes security - Cloud security compliance - Cloud security principles (AWS, Azure) - Serverless security |
| Topic 4: DevSecOps Pipeline - Test Stage | - API security testing - Security regression testing - Dynamic Application Security Testing (DAST) - Interactive Application Security Testing (IAST) |
| Topic 5: DevSecOps Governance and Culture | - DevSecOps maturity model - Team roles and responsibilities - Security policy and framework - Continuous improvement practices |
| Topic 6: DevSecOps Pipeline - Operate & Monitor Stage | - Threat detection and response - Continuous security monitoring - Logging and security analytics - Incident response and management |
| Topic 7: Introduction to DevSecOps | - DevSecOps vs traditional security - Shift-left security approach - DevSecOps concepts and philosophy - Key components and toolchain |
| Topic 8: DevSecOps Pipeline - Build Stage | - Build pipeline security controls - Software Composition Analysis (SCA) - Container security fundamentals - Automated build security |
| Topic 9: DevSecOps Pipeline - Code Stage | - Secret management and prevention - Static Application Security Testing (SAST) - Secure coding practices and guidelines - Code review and security analysis |
| Topic 10: DevSecOps Pipeline - Plan Stage | - Compliance and regulatory alignment - Risk assessment and management - Security requirement engineering - Threat modeling methodologies |
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NEW QUESTION # 22
A DevSecOps team is evaluating AI-powered solutions to enhance task management, incident response, and security automation within their CI/CD pipeline. They need an intelligent assistant that can automate vulnerability management and security reporting, streamline communication and repetitive security tasks, and seamlessly integrate with their existing Atlassian Jira environment. After assessing multiple options, the team identifies one AI-driven tool that stands out due to its deep integration with Jira and advanced security automation features.Which AI-driven tool is best suited to meet the team's requirements?
Answer: A
Explanation:
Atlassian Intelligence is the AI built natively into Atlassian products, including Jira: it automates task management, summarizes and drafts content, streamlines repetitive work, and supports incident/security workflows with deep Jira integration-matching the team's requirements. Trello AI is limited to Trello, and ServiceNow/Splunk assistants don't integrate natively with Jira.
NEW QUESTION # 23
John, a software developer, wants to monitor the status of a running Kubernetes service without navigating through multiple dashboards. Instead, he interacts with Kubiya using a simple command to retrieve service logs and performance metrics, ensuring that the application is running smoothly and identifying potential issues. This interaction is focused on observability, monitoring, and system performance tracking, which are key aspects of maintaining and managing deployed applications. Which CI/CD pipeline phase does this interaction fall under?
Answer: C
Explanation:
Monitoring a running service-retrieving logs and performance metrics, observability, and system health tracking-belongs to the Operations phase of the CI/CD pipeline lifecycle, where deployed applications are maintained and managed. Deployment is the act of releasing, testing happens pre-release, and feedback concerns channeling user/metrics feedback into planning.
NEW QUESTION # 24
A DevSecOps team is responsible for automating infrastructure deployment using Ansible. During a routine security audit, they discover that sensitive information-such as database credentials and API keys-is stored in plain text within Ansible playbooks. This introduces a serious security risk, as exposing these playbooks could lead to unauthorized access to critical systems. To address this issue, the team must implement a secure approach that protects confidential data within Ansible playbooks, prevents unauthorized access to sensitive information, and ensures seamless automation without exposing secrets in plaintext. Which solution should the team implement?
Answer: B
Explanation:
ansible-vault is Ansible's built-in feature for encrypting sensitive data (variables, files) within playbooks, so credentials and API keys are never stored in plaintext while automation still runs seamlessly with a vault password or key. ansible-playbook executes playbooks, ansible-console is an interactive shell, and ansible-galaxy manages roles/collections-none encrypt secrets.
NEW QUESTION # 25
(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: D
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 # 26
Alex, a DevSecOps engineer, is conducting a security review of a newly developed web application. To ensure compliance with industry standards, he wants to prioritize fixing vulnerabilities that attackers most commonly exploit. He also needs guidance on how to secure the application against threats like SQL injection, broken authentication, and sensitive data exposure. Which security standard should Alex refer to?
Answer: C
Explanation:
The OWASP Top 10 is the standard awareness document listing the most critical and most commonly exploited web application security risks, including SQL injection, broken authentication, and sensitive data exposure. It gives Alex both the prioritization of what attackers exploit most and guidance on how to secure the application against those threats. CVE is only a dictionary of vulnerability identifiers, CERT is a coordination/research center, and IEC 62443 targets industrial automation and control systems, not web applications.
NEW QUESTION # 27
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