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| Section | Objectives |
|---|---|
| Topic 1: DevSecOps Pipeline - Build Stage | - Automated build security - Container security fundamentals - Build pipeline security controls - Software Composition Analysis (SCA) |
| Topic 2: Cloud-Native DevSecOps | - Container and Kubernetes security - Serverless security - Cloud security principles (AWS, Azure) - Cloud security compliance |
| Topic 3: Introduction to DevSecOps | - DevSecOps concepts and philosophy - DevSecOps vs traditional security - Shift-left security approach - Key components and toolchain |
| Topic 4: DevSecOps Governance and Culture | - Continuous improvement practices - Security policy and framework - Team roles and responsibilities - DevSecOps maturity model |
| Topic 5: DevSecOps Pipeline - Code Stage | - Secret management and prevention - Code review and security analysis - Static Application Security Testing (SAST) - Secure coding practices and guidelines |
| Topic 6: DevSecOps Pipeline - Plan Stage | - Threat modeling methodologies - Risk assessment and management - Security requirement engineering - Compliance and regulatory alignment |
| Topic 7: DevSecOps Pipeline - Release & Deploy Stage | - Configuration management security - Orchestration and deployment security - Policy as Code implementation - Infrastructure as Code (IaC) security |
| Topic 8: Understanding DevOps Culture | - DevOps fundamentals and principles - DevOps lifecycle and workflows - Collaboration and communication models |
| Topic 9: DevSecOps Pipeline - Operate & Monitor Stage | - Incident response and management - Continuous security monitoring - Logging and security analytics - Threat detection and response |
| Topic 10: DevSecOps Pipeline - Test Stage | - Dynamic Application Security Testing (DAST) - Interactive Application Security Testing (IAST) - API security testing - Security regression testing |
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NEW QUESTION # 76
As a DevOps Engineer at a large enterprise software company, you are investigating a critical issue where multiple developers are reporting frequent code conflicts and failed integrations in the development pipeline. Upon further analysis, you discover that some teams are overwriting each other's changes, and there is no proper versioning system in place to track modifications. Developers are struggling to roll back to previous versions of the code when bugs are introduced, causing significant delays in the release cycle. To resolve this issue, you decide to implement a version control solution that allows developers to securely push, track, and manage code changes while supporting both distributed and centralized version control models. Which Azure DevOps service should you implement?
Answer: B
Explanation:
Azure Repos provides Git-based version control in Azure DevOps (supporting distributed Git workflows and centralized TFVC), letting developers securely push, track, and manage changes, and roll back to prior versions-solving the code-conflict and versioning problems. Azure Pipelines builds/deploys, Boards tracks work, and Artifacts manages packages.
NEW QUESTION # 77
(Brett Ryan has been working as a senior DevSecOps engineer in an IT company in Charleston, South Carolina. He is using git-mutimail tool to send email notification for every push to git repository. By default, the tool will send one output email providing details about the reference change and one output email for every new commit due to a reference change. How can Brett ensure that git-multimail is set up appropriately?)
Answer: B
Explanation:
The git-multimail tool provides a mechanism to verify whether it has been installed and configured correctly before being relied upon for production notifications. This verification is done using an environment variable namedGIT_MULTIMAIL_CHECK_SETUP. When this variable is set to anon-empty string, git-multimail performs a setup validation and outputs diagnostic information toconfirm that configuration values, hooks, and parameters are correctly defined. This helps prevent silent failures where commits occur but email notifications are not sent. Options that referenceGITHUB_MULTIMAIL_CHECK_SETUPare incorrect because git-multimail is not limited to GitHub and does not use that variable name. Additionally, setting the variable to an empty string does not trigger the setup check. Ensuring proper configuration during the Code stage is important because it supports auditability, traceability, and timely communication among development and security teams. Therefore, Brett must run the environment variable GIT_MULTIMAIL_CHECK_SETUPwith a non-empty value to ensure the tool is set up appropriately.
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NEW QUESTION # 78
Walter O'Brien recently joined as a junior DevSecOps engineer in an IT company located in Lansing, Michigan. His organization develops robotic process automation software for various clients stretched across the globe. Walter's team leader asked him to configure username and user email for git in VS Code. Therefore, he opened Visual Studio Code IDE console, then clicked on Terminal tab and selected New terminal. Which of the following command should Walter execute in the terminal to configure username and user email for git in VS Code?
Answer: A
Explanation:
Git requires developers to configure their identity using two specific configuration keys:
user.name and user.email. These values are embedded into every commit and are essential for accountability, auditing, and collaboration. The correct configuration syntax uses dot-separated key names (user.name and user.email) and the --global flag to apply the settings across all repositories on the system. Among the provided options, only option B uses the correct configuration keys. The other options use invalid key names such as user-name, user_name, or incorrect command structure. Although the options display a minor command typo ("get config" instead of git config), the question is clearly testing knowledge of the correct Git configuration keys. Configuring Git identity in the Code stage ensures accurate commit history and supports traceability across the DevSecOps pipeline.
NEW QUESTION # 79
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: D
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 # 80
Sophia Carter, a Senior DevSecOps Engineer at TechShield Solutions, is responsible for enhancing security in the company's AWS-based software development lifecycle. In 2018, her company suffered a major cybersecurity breach, resulting in financial losses and reputational damage. Following the incident, the organization migrated to AWS cloud-based services to develop secure and resilient software products more efficiently. To detect security issues during code review, Sophia decides to integrate SonarQube with AWS CodePipeline by creating a pipeline using an AWS CloudFormation template, selecting SonarQube as the analysis tool from the AWS tools dropdown, configuring required stack parameters, and providing an email address to receive notifications for pipeline status and approvals. After configuring and deploying the CI/CD pipeline, what will happen when changes are committed to the application repository?
Answer: B
Explanation:
In this architecture, commits to the repository trigger an Amazon CloudWatch event (via the source stage's change detection, e.g., CodeCommit/CloudWatch Events), which starts the pipeline execution. CloudWatch Events is the mechanism that detects repository changes and invokes the pipeline; Lambda, Security Hub, and Config are downstream or unrelated services.
NEW QUESTION # 81
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