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| Section | Objectives |
|---|---|
| DevSecOps Pipeline - Operate & Monitor Stage | - Incident response and management - Continuous security monitoring - Logging and security analytics - Threat detection and response |
| Cloud-Native DevSecOps | - Serverless security - Cloud security principles (AWS, Azure) - Cloud security compliance - Container and Kubernetes security |
| Understanding DevOps Culture | - Collaboration and communication models - DevOps lifecycle and workflows - DevOps fundamentals and principles |
| DevSecOps Pipeline - Release & Deploy Stage | - Infrastructure as Code (IaC) security - Orchestration and deployment security - Policy as Code implementation - Configuration management security |
| DevSecOps Pipeline - Plan Stage | - Security requirement engineering - Risk assessment and management - Compliance and regulatory alignment - Threat modeling methodologies |
| DevSecOps Pipeline - Test Stage | - Interactive Application Security Testing (IAST) - API security testing - Dynamic Application Security Testing (DAST) - Security regression testing |
| DevSecOps Governance and Culture | - DevSecOps maturity model - Team roles and responsibilities - Continuous improvement practices - Security policy and framework |
| DevSecOps Pipeline - Build Stage | - Software Composition Analysis (SCA) - Build pipeline security controls - Container security fundamentals - Automated build security |
| DevSecOps Pipeline - Code Stage | - Secure coding practices and guidelines - Static Application Security Testing (SAST) - Code review and security analysis - Secret management and prevention |
| Introduction to DevSecOps | - Shift-left security approach - DevSecOps vs traditional security - Key components and toolchain - DevSecOps concepts and philosophy |
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NEW QUESTION # 73
George Lennon is working as at InfoWorld Pvt. Solution as a DevSecOps engineer. His colleague, Sarah Mitchell, is a senior software developer. George told her to participate in a bug bounty program conducted by AWS for python and Java code developers. He informed Sarah that the challenge is a fun-based solution for bashing bugs, encouraging team building, and bringing friendly competition to enhance the quality of the code and application performance.
Acting on George's advice, Sarah participated in the bug bounty program and scored the highest points in the challenge, and she received a reward of $10,000. Based on the given information, which of the following bug bounty programs did Sarah participate?
Answer: C
Explanation:
The description matches AWS BugBust, which AWS positions as a gamified, team-based bug fixing challenge rather than a classic external "bug bounty" for finding vulnerabilities in AWS itself.
The key hints are "fun-based solution for bashing bugs," "encouraging team building," and
"friendly competition," along with scoring points and awarding prizes. BugBust focuses on improving code quality by motivating developers to find and fix issues (often via static analysis findings) in languages like Java and Python. Participants earn points for remediations and compete on leaderboards, which aligns directly with Sarah "scored the highest points" and received a cash reward. The other names (BugFixer, BugFinder, BugHunt) are plausible- sounding but do not match the commonly referenced AWS gamified program described. In a DevSecOps context, this type of program supports culture by incentivizing secure coding habits, encouraging shared ownership of quality, and making remediation visible and rewarding across the engineering team.
NEW QUESTION # 74
(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: B
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 # 75
(Sandra Oliver joined SinClare Soft Pvt. Ltd. as a DevSecOps engineer in January of 2010. Her organization develops software and web applications related to the healthcare industry. Using IAST runtime security testing technology, she is detecting and diagnosing security issues in applications and APIs. The IAST solution used by Sandra encompasses a web scanner with an agent that works inside the server that hosts the application to provide additional analysis details such as the location of the vulnerability in the application code. Based on the given information, which of the following IAST solutions is Sandra using?)
Answer: B
Explanation:
Interactive Application Security Testing (IAST) solutions are classified based on how they interact with the application and runtime environment. In this scenario, the solution uses aweb scannerto actively send requests to the application while also deploying anagent inside the application serverto observe runtime behavior and map vulnerabilities directly to source code locations. This combined approach is known assemi- active IAST. It is considered "semi-active" because it actively drives traffic through the application using a scanner, while the agent passively observes execution paths, data flows, and method calls. Passive IAST solutions rely only on observing existing traffic and do not use scanners, while active IAST solutions do not typically rely on deep runtime agents in the same manner. Semi-active IAST significantly reduces false positives and provides precise remediation details, making it highly effective during the Build and Test stage, where applications are actively exercised and security issues can be identified and fixed before release.
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NEW QUESTION # 76
(Timothy Dalton has been working as a senior DevSecOps engineer in an IT company located in Auburn, New York. He would like to use Jenkins for CI and Azure Pipelines for CD to deploy a Java-based app to an Azure Container Service (AKS) Kubernetes cluster. Before deploying Azure Kubernetes Service (AKS) Cluster, Timothy wants to create a Resource group named Jenkins in southindia location. Which of the following commands should Timothy run?.)
Answer: D
Explanation:
Azure resource groups are created using the Azure CLI command az group create. The --name parameter specifies the resource group name, and --location defines the Azure region. Option A uses the correct CLI prefix (az), command group (group create), and valid parameters. Options B, C, and D are incorrect due to invalid command abbreviations or incorrect CLI prefixes (azure instead of az). Creating a resource group is a foundational step in the Release and Deploy stage, as it provides a logical container for AKS clusters, networking components, and related resources, enabling organized, secure, and manageable deployments.
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NEW QUESTION # 77
Craig Kelly has been working as a software development team leader in an IT company over the past 8 years. His team is working on the development of an Android application product. Sandra Oliver, a DevSecOps engineer, used DAST tools and fuzz testing to perform advanced checks on the Android application product and detected critical and high severity issues. She provided the information about the security issues and the recommendations to mitigate them to Craig's team.
Which type of security checks performed by Sandra involve detection of critical and high severity issues using DAST tools and fuzz testing?
Answer: B
Explanation:
Dynamic Application Security Testing (DAST) and fuzz testing require a running application in order to actively probe for vulnerabilities such as injection flaws, authentication bypasses, and improper input handling. These techniques are therefore performed after the application has been built and deployed to a testing environment, categorizing them as test-time checks. Commit-time and build- time checks rely primarily on static analysis and dependency scanning and do not exercise application behavior at runtime. Deploy-time checks focus on configuration validation rather than aggressive attack simulation. Test-time checks are specifically designed to uncover critical and high- severity vulnerabilities by mimicking real-world attack scenarios. Performing DAST and fuzz testing during this stage allows teams to detect exploitable flaws before production release, significantly strengthening application security.
NEW QUESTION # 78
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