CCSK Exam Dumps - Certificate of Cloud Security Knowledge v5 (CCSKv5.0)

Updating forensics tools for virtual machines (VMs) and containers is critical because cloud environments can differ significantly from traditional on-premises environments. As cloud technologies evolve, it is important to ensure that forensic tools are compatible with the latest cloud infrastructure, such as VMs, containers, and serverless architectures. Thisensures that the tools can effectively collect, analyze, and preserve evidence in the event of a security incident, allowing for accurate and efficient incident analysis.

Complying with cloud service level agreements (SLAs)) is not the primary reason for updating forensics tools, although some SLAs may require certain levels of incident response capabilities. Streamlining communication with cloud service providers and customers) is important, but the primary concern is the ability to analyze incidents, not just communication. Increasing the speed of incident response team deployments) is a consideration, but ensuring the tools are up to date and compatible is the main priority for effective incident analysis.

The Detection and Analysis phase involves identifying incidents and determining their impact. It is crucial to validate events to understand if they constitute a security incident. Reference: [Security Guidance v5, Domain 11 - Incident Response]

Containersare the most appropriate cloud workload for running isolated applications with minimum resource overhead. Containers provide lightweight, isolated environments that share the host operating system, reducing resource consumption compared to virtual machines (VMs). They are ideal for microservices and applications requiring isolation without the overhead of a full VM.

From theCCSK v5.0 Study Guide, Domain 2 (Cloud Infrastructure and Platform Security), Section 2.5:

“Containers are lightweight, portable, and isolated environments that share the host OS kernel, making them highly efficient for running applications with minimal resource overhead. Unlike VMs, which require a full guest OS, containers provide application isolation with significantly lower resource demands.”

Option A (Containers) is the correct answer.

Option B (Function as a Service) is incorrect because FaaS is designed for event-driven, short-lived functions, not for running full applications.

Option C (AI Workloads) is incorrect because AI workloads are a category of tasks, not a specific workload type, and may run on VMs or containers.

Option D (Virtual Machines) is incorrect because VMs include a full guest OS, resulting in higher resource overhead compared to containers.

Custom application-level encryption provides organizations with precise control over what is encrypted and who manages the encryption keys. Unlike network-level encryption, this method allows sensitive fields (e.g., credit card numbers) to be encrypted before data even enters the storage or processing pipeline.

This approach enables compliance with strict data privacy laws and protects data from being decrypted by unauthorized actors—even cloud providers. Organizations can enforce key rotation policies and maintain exclusive key access.

This is detailed in Domain 11: Data Security and Encryption, which recommends application-level encryption for sensitive data protection, particularly in regulated industries.