CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

Collecting a large pool of behavioral observations requires handling vast datasets, which is the domain ofBig Data. Big Data technologies enable the storage, processing, and analysis of large-scale data (e.g., user behavior logs) to inform decisions, a key capability in security analytics.

Option A:Linear regression is a statistical method for modeling relationships, not collecting data.

Option B:Distributed consensus relates to agreement in distributed systems (e.g., blockchain), not data collection.

Option C:Big Data directly supports collecting and analyzing large datasets for insights, fitting the question perfectly.

Option D:Machine learning uses data to train models but relies on data being collected first, often via Big Data.

A. Implementing allow lists: Allow lists (whitelisting) restrict network communication to only authorized devices and applications, significantly reducing the attack surface by ensuring that only pre-approved traffic is permitted.

F. Implementing a site-to-site IPSec VPN: A site-to-site VPN provides a secure, encrypted tunnel for data transmission between the OT systems and the vendor, protecting the data from interception and tampering during transit.

Other options:

B. Monitoring network behavior: While useful for detecting anomalies, it does not proactively reduce the risk of compromise or sabotage.

C. Encrypting data at rest: Important for protecting data stored on devices, but does not address network communication risks.

D. Performing boot integrity checks: Ensures the integrity of the system at startup but does not protect ongoing network communications.

E. Executing daily health checks: Useful for maintaining system health but does not directly reduce the risk of network-based compromise or sabotage.