CCSK Dumps with Practice Exam Questions Answers

During the Detection and Analysis phase of incident response, the primary objective is to validate alerts to determine whether they represent a genuine security incident, and to estimate the scope of the incident to understand the potential impact on the organization. This phase involves analyzing evidence, confirming the nature of the incident, and gathering the necessary information to move forward with containment and remediation.

Developing and updating incident response policies is important but occurs more during the preparation phase, not during the detection and analysis of an active incident. Performing detailed forensic investigations typically takes place during later phases, such as Containment, Eradication, & Recovery or Post-Incident Analysis. Implementing network segmentation and isolation may be part of the Containment phase but is not the primary focus during the Detection and Analysis phase.

Cloud computing is adopted mainly for its cost-effectiveness and the ability to accelerate time-to-market, enhancing business agility. Reference: [Security Guidance v5, Domain 1 - Cloud Benefits]

Using IAM roles/identities provided by cloud providers instead of static secrets (like passwords or API keys) significantly reduces the risk of credential leakage. IAM roles enable dynamic and temporary credentials, meaning that they are automatically rotated and do not need to be manually stored or managed. This eliminates the need for hardcoding sensitive credentials into code or configuration files, which can often lead to accidental exposure or misuse if not properly secured.

Lowering storage costs is not a direct benefit of using IAM roles over static secrets. Facilitating data encryption is important for security, but IAM roles are not specifically focused on data encryption. Improving system performance is not a primary benefit of using IAM roles over static secrets. The main advantage is security-related, specifically the reduction in credential leakage risks.

Cloud Detection and Response (CDR) is an emerging capability that focuses specifically on detecting and responding to threats in cloud environments. While not deeply detailed in the core CSA Security Guidance v4.0, CDR is an evolution of traditional SIEM and endpoint detection strategies applied to cloud-native infrastructures.

In CSA Security Guidance v4.0 – Domain 9: Incident Response, it’s made clear that:

“Security monitoring and detection capabilities in the cloud must be able to identify suspicious behavior, policy violations, and misconfigurations — often across multiple layers such as infrastructure, applications, and identity.”

— CSA Security Guidance v4.0, Domain 9: Incident Response

CDR platforms typically include:

Threat detection across cloud workloads (e.g., compute, storage, IAM misuse)

Real-time alerts

Automated or manual response mechanisms

Integration with cloud-native logging services like AWS CloudTrail, Azure Monitor, or GCP Audit Logs

Incorrect options:

B is about application management, not threat detection.

C relates to cloud cost optimization tools.

D refers to cloud storage tuning, unrelated to threat detection.