CAS-005 Exam Dumps - CompTIA SecurityX Certification Exam

The Common Vulnerability Scoring System (CVSS) v3.1 uses three metric groups to calculate overall scores:Base,Temporal, andEnvironmental.

Base (E):Mandatory metrics assessing exploitability (e.g., attack vector) and impact (confidentiality, integrity, availability).

Temporal (A):Optional metrics reflecting the current state of the vulnerability (e.g., exploit availability, remediation level).

Environmental (F):Optional metrics tailoring the score to the organization’s context (e.g., security requirements).

B, C, D (Availability, Integrity, Confidentiality):These are subcomponents of the Base Impact metrics, not standalone groups.

G (Impact):A categorywithin Base, not a group.

H (Attack vector):A single Base metric, not a group.

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.

Step by Step Explanation:

Understanding the Scenario: The question focuses on the historical design assumptions behind older operational technology (OT)systems, particularly in the context of command, control, and telemetry.

Analyzing the Answer Choices:

A. operating in an isolated/disconnected system: This is the most accurate assumption for many legacy OT systems. Historically, these systems weredesigned to operate in air-gapped environments, completely isolated from external networks (including the internet).

The logs reviewed for the user indicate that access is being denied due to time-based access restrictions. These restrictions are commonly implemented to limit access to systems during specific hours to enhance security. If a user attempts to authenticate outside of the allowed time window, access will be denied. This measure helps prevent unauthorized access during non-business hours, reducing the risk of security incidents.

Unauthorized code changesand lack ofindependent verificationare directly mitigated bycode signing, which ensures that code is from a trusted source and has not been altered.

While digital signatures are part of code signing, the broader practice of code signing encompasses signature management, version integrity, and trusted sources.

Lightweight cryptography is irrelevant in this context; it's more about efficiency in constrained devices.

Non-repudiation is a benefit of digital signatures but doesn't directly solve the verification/integrity concerns alone.

FromCAS-005 Guide, Domain 4: Security Architecture, Tools, and Technologies:

“Code signing ensures that the code has not been tampered with and originates from a trusted developer.”

The best way to address these requirements is to apply Role-Based Access Controls (RBAC) combined with geolocation policies. RBAC ensures that customers are authenticated and authorized to access only the data they are entitled to, thereby minimizing data exposure risks. At the same time, geolocation policies enforce restrictions on which regions customers can access data from, helping with compliance requirements such as GDPR or regional sovereignty laws.

Option B (replicating data in each customer environment) is inefficient, expensive, and introduces additional risks related to data sprawl. Option C (regional hosting with unique links) complicates access management and does not inherently prevent exposure or enforce strong authentication. Option D (restricting to a single region provider) removes flexibility and may conflict with customer needs for global access.

Therefore, implementing RBAC along with geolocation controls provides fine-grained access management, ensures compliance, prevents unnecessary data exposure, and is scalable for a global cloud environment.