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| Section | Objectives |
|---|---|
| Cloud-Native DevSecOps | - Cloud security compliance - Cloud security principles (AWS, Azure) - Serverless security - Container and Kubernetes security |
| DevSecOps Pipeline - Release & Deploy Stage | - Orchestration and deployment security - Policy as Code implementation - Configuration management security - Infrastructure as Code (IaC) security |
| Understanding DevOps Culture | - Collaboration and communication models - DevOps fundamentals and principles - DevOps lifecycle and workflows |
| DevSecOps Pipeline - Build Stage | - Container security fundamentals - Automated build security - Build pipeline security controls - Software Composition Analysis (SCA) |
| Introduction to DevSecOps | - DevSecOps vs traditional security - DevSecOps concepts and philosophy - Key components and toolchain - Shift-left security approach |
| DevSecOps Governance and Culture | - Security policy and framework - Team roles and responsibilities - DevSecOps maturity model - Continuous improvement practices |
| DevSecOps Pipeline - Plan Stage | - Compliance and regulatory alignment - Threat modeling methodologies - Risk assessment and management - Security requirement engineering |
| DevSecOps Pipeline - Operate & Monitor Stage | - Incident response and management - Continuous security monitoring - Threat detection and response - Logging and security analytics |
| DevSecOps Pipeline - Code Stage | - Secure coding practices and guidelines - Static Application Security Testing (SAST) - Code review and security analysis - Secret management and prevention |
| DevSecOps Pipeline - Test Stage | - Dynamic Application Security Testing (DAST) - API security testing - Interactive Application Security Testing (IAST) - Security regression testing |
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NEW QUESTION # 10
Jordon Garrett has recently joined a startup IT company located in Chicago, Illinois, as a DevSecOps engineer. His team leader asked him to find a SAST tool that can secure the organization Azure environment. Which of the following is a SAST tool that Jordon can select to secure his organization's Azure environment?
Answer: A
Explanation:
Coverity is a well-known Static Application Security Testing (SAST) tool used to analyze source code for security vulnerabilities, coding errors, and quality issues. It integrates with CI/CD pipelines and supports enterprise-scale environments, including cloud-based development on platforms such as Azure. Accurics focuses on Infrastructure as Code security, Tenable.io is a vulnerability management platform for infrastructure and assets, and DevSkim is a lightweight code scanning extension rather than a full SAST platform. Selecting Coverity enables deep static analysis of application code during the Code stage, helping teams detect vulnerabilities early and reduce remediation costs.
NEW QUESTION # 11
Sara Lindqvist, a DevSecOps engineer at a Helsinki healthtech company, must ensure that patient data used in the staging environment for testing does not expose real patient identities, while still preserving realistic data formats and referential integrity for QA testing. Which technique should Sara apply?
Answer: B
Explanation:
Data masking (or anonymization/pseudonymization) techniques replace or obscure sensitive fields such as names, national ID numbers, or medical record identifiers with realistic but non- identifying substitute values, while preserving data format, structure, and referential integrity needed for effective QA testing -- exactly satisfying Sara's dual requirement of privacy protection and testing realism. Fully replicating production data with no changes would expose real patient identities in a lower-security environment, violating privacy regulations like HIPAA or GDPR.
Disabling the staging environment entirely would prevent QA testing altogether, which is not a viable solution to the data privacy problem. Encrypting the entire database with a single shared key visible to all developers does not actually anonymize the data -- anyone with that key could still view real patient identities, and broad key visibility itself creates a serious exposure risk.
Since Sara needs privacy-preserving yet realistic test data, data masking/anonymization is correct.
NEW QUESTION # 12
Kenji Watanabe, a DevSecOps engineer at a Tokyo gaming studio, needs a testing tool that combines code instrumentation with live traffic analysis, so it can pinpoint the exact line of vulnerable code triggered when a QA tester clicks through the application during functional testing. Which approach should Kenji choose?
Answer: B
Explanation:
IAST works by instrumenting the application with agents that monitor code execution from within while the application is exercised through normal functional or QA testing, allowing it to correlate detected vulnerabilities directly back to specific lines of source code in real time -- precisely what Kenji needs. Penetration testing is typically a manual or semi-manual black-box/gray-box assessment performed by security testers simulating real-world attacks, and does not inherently tie findings to exact source lines through instrumentation during routine QA clicks. Threat modeling is a design-time planning activity performed before code execution. Chaos engineering intentionally injects failures into production or production-like systems to test resilience, not to detect code-level vulnerabilities during functional testing. Because Kenji wants instrumented, line- level detection during live QA interaction, IAST is correct.
NEW QUESTION # 13
Sophia Mitchell, a DevSecOps Engineer at WebSecure Inc., is responsible for ensuring the security of the company's web and Node.js applications. During a routine security assessment, she suspects that some third-party JavaScript libraries used in the project might contain vulnerabilities. To automate the detection of insecure libraries, Sophia decides to use Retire.js. However, she wants a method that automatically scans and flags vulnerable JavaScript libraries during the build process, ensuring that no insecure dependencies make it into production. Which of the following Retire.js features should Sophia use to achieve this?
Answer: C
Explanation:
Retire.js offers a Grunt plugin that runs as part of the build process, automatically scanning the project and flagging (or failing the build on) JavaScript libraries with known vulnerabilities-ensuring insecure dependencies never reach production. The browser extensions and Burp/ZAP plugins are for manual/proxy-based scanning, and 'Synk Scanner Plugin' is not a Retire.js feature.
NEW QUESTION # 14
A software development company relies on Jenkins to automate its CI/CD workflows. Recently, the DevOps team identified a need for a new plugin that would improve Jenkins maintainability and reliability, ensure critical data is retained for future use, support scheduled operations to improve workflow management, and provide flexibility in configuring what is stored Which Jenkins plugin would best suit their needs?
Answer: D
Explanation:
ThinBackup is the Jenkins plugin designed for backing up Jenkins configurations and critical data: it improves maintainability and reliability, retains critical data for future restore, supports scheduled (periodic) backups, and lets you flexibly configure what gets stored. Job DSL, Pipeline, and Performance Publisher serve unrelated purposes.
NEW QUESTION # 15
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