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CY0-001 · Question #17

A group of security engineers is developing a security incident and event management (SIEM) system that will: - Be able to ingest data from multiple structured and unstructured sources. - Have a…

The correct answer is C. Cleansing. 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…

Security Architecture and Tool Sets

Question

A group of security engineers is developing a security incident and event management (SIEM) system that will:

  • Be able to ingest data from multiple structured and unstructured

sources.

  • Have a chatbot integrated with a large language model (LLM) that the

security analyst can interact with.

  • Provide insights from the SIEM alert data.

Which of the following techniques should the security engineers consider before collecting the data from the respective sources?

Options

  • ABalancing
  • BVerification
  • CCleansing
  • DVector storage

How the community answered

(49 responses)
  • A
    6% (3)
  • B
    12% (6)
  • C
    80% (39)
  • D
    2% (1)

Explanation

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.

Topics

#data cleansing#SIEM#LLM integration#data ingestion

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