A data engineer is responsible for preparing, cleaning, and formatting data pipelines. When information is incorrectly formatted or missing values, the data engineer ensures data integrity and quality before it is used by AI models.

A sudden and sustained outbound transfer to an unknown IP is a common sign of data exfiltration.

Validating data ensures quality, consistency, and fairness in training sets, helping prevent biased or inaccurate results in AI system outputs.

Data cleansing ensures that structured and unstructured data ingested into the SIEM is accurate, consistent, and free from errors or irrelevant information. This step is critical before integrating with an LLM chatbot, as clean data improves the reliability and quality of insights generated.

Basic Concept: When API sessions or connections remain active and consuming resources after their intended operations have completed, they create resource leaks that progressively degrade system availability. Session lifecycle management is critical for maintaining AI system health. CompTIA SecAI+ Study Guide covers session management as an availability control for AI systems.
Why B is Correct: Enforcing session expiration ensures that external API sessions and connections are automatically terminated after a defined idle period or maximum duration. This prevents resource-consuming zombie sessions from accumulating and exhausting system memory, thread pools, or connection limits. The observed pattern - persistent unavailability that resolves temporarily with restart - is classic resource leak behavior from sessions that never close, making session expiration the direct fix.
Why A is Wrong: Token limits cap the number of tokens processed per request. While useful for controlling per-request resource consumption, they do not address the root cause of sessions persisting and consuming resources long after their operations complete.
Why C is Wrong: Increasing system memory defers the problem rather than solving it. The leak will eventually consume the additional memory too, requiring another restart. Addressing the root cause through session management is superior to scaling resources to accommodate the leak.
Why D is Wrong: MFA adds an additional authentication factor for users accessing the system. It is a security control for identity verification, not a mechanism for managing session lifecycle or preventing resource exhaustion from lingering sessions.