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| Section | Weight | Objectives |
|---|---|---|
| DevSecOps Toolchain | 20% | - Monitoring and Logging
|
| Application Security Testing | 20% | - Software Composition Analysis (SCA)
|
| Compliance and Governance | 15% | - Regulatory Frameworks
|
| DevSecOps Practices | 20% | - Continuous Integration and Continuous Delivery (CI/CD)
|
| Infrastructure as Code (IaC) Security | 15% | - IaC Security Principles
|
| Introduction to DevSecOps | 10% | - DevOps and DevSecOps Concepts
|
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NEW QUESTION # 98
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 # 99
A fintech company recently suffered a data breach caused by a vulnerability in their web application. Upon investigation, the security team discovered that their reliance on manual vulnerability testing had failed to identify critical attack vectors that adversaries exploited. To prevent similar incidents, the company wants to enhance its DevSecOps pipeline by integrating a security solution that can automatically detect vulnerabilities in the running application and identify potential attack paths. Which approach should the company adopt to improve security in the production environment?
Answer: A
Explanation:
DAST tools test the running application from the outside, automatically detecting vulnerabilities and simulating real attack vectors/paths in the production-like environment-catching what manual testing missed. SAST analyzes code before runtime and wouldn't cover the running app; checklists are still manual, and a WAF blocks attacks but doesn't identify the application's own vulnerabilities.
NEW QUESTION # 100
Ingrid Larsen, a release engineer at an Oslo renewable energy company, wants to deploy a new version of a critical control-system API to only 5% of production traffic initially, monitoring error rates before a full rollout. Which deployment strategy is she using?
Answer: D
Explanation:
Canary deployment routes a small, controlled percentage of production traffic (in this case, 5%) to the new version while the majority continues to use the stable version, allowing teams to monitor real-world metrics like error rates and latency before deciding to proceed with a full rollout -- this is exactly Ingrid's approach. Blue-green deployment instead maintains two complete, identical environments and switches all traffic at once from the old (blue) to the new (green) environment rather than a gradual percentage-based shift. Recreate deployment terminates the old version entirely before starting the new one, causing downtime, which contradicts the gradual traffic- splitting Ingrid describes. Rolling deployment incrementally replaces instances of the old version with the new one across the infrastructure rather than splitting live traffic by percentage to a parallel version. Since Ingrid is directing a specific traffic percentage to the new version for monitoring, canary deployment is correct.
NEW QUESTION # 101
Charles Rettig has been working as a DevSecOps engineer in an IT company that develops software and web applications for IoT devices. He integrated Burp Suite with Jenkins to detect vulnerabilities and evaluate attack vectors compromising web applications. Which of the following features offered by Burp Suite minimizes false positives and helps detect invisible vulnerabilities?
Answer: A
Explanation:
Burp Suite's Out-of-band Application Security Testing (OAST) feature is designed to detect vulnerabilities that do not produce immediate or visible responses during standard scanning.
OAST works by triggering interactions such as DNS or HTTP callbacks, which occur outside the normal request-response cycle. This capability enables detection of blind vulnerabilities like blind SQL injection and server-side request forgery. Because findings are based on confirmed external interactions, OAST significantly reduces false positives. The other options listed are not valid Burp Suite features. Integrating OAST during the Build and Test stage improves the accuracy of dynamic security testing and ensures deeper coverage of complex and hard-to-detect vulnerability classes before applications are released.
NEW QUESTION # 102
Carlos Mendoza, a DevSecOps engineer at a Mexico City retail chain, wants his organization to define, in a single collaborative document, the specific security responsibilities that shift from the cloud provider to his own team when using a managed Kubernetes service (like EKS) versus a fully self-hosted cluster. Which concept is Carlos applying?
Answer: A
Explanation:
The Shared Responsibility Model explicitly delineates which security responsibilities belong to the cloud service provider (such as securing the underlying physical infrastructure and, for managed Kubernetes, the control plane) versus the customer (such as securing workloads, IAM configurations, network policies, and data), and clarifying this division is precisely what Carlos is doing when comparing a managed service like EKS to a self-hosted cluster. Zero Trust Architecture is a security philosophy requiring continuous verification of identity and context for every access request, regardless of network location, but does not itself define provider-versus- customer responsibility boundaries. The Principle of Least Privilege dictates that entities should be granted only the minimum access necessary to perform their function, a distinct concept from responsibility division between provider and customer. Defense in Depth refers to layering multiple independent security controls throughout a system, which is a general strategy rather than a delineation of provider/customer duties. Because Carlos is specifically defining what security duties shift between provider and customer for managed versus self-hosted services, the Shared Responsibility Model is correct.
NEW QUESTION # 103
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