Free CY0-001 Exam Braindumps
CompTIA SecAI+ Questions 56–60 (page: 13)

Updated On: 17-Sep-2026

A cybersecurity analyst wants to choose a machine learning (ML) model to classify log entries while providing the best explainability.
Which of the following models should the analyst use?

  1. Large language model (LLM)
  2. Neural networks
  3. Decision trees
  4. Generative adversarial network (GAN)

Answer(s): C

Explanation:

Decision trees provide clear and interpretable decision paths, making them highly explainable compared to complex models like neural networks or GANs. This makes them the best choice for classifying log entries when explainability is a priority.



Which of the following is the primary purpose of validating data for an AI system?

  1. To automate the process
  2. To reduce consumption of resources
  3. To optimize the storage databases
  4. To ensure bias-free outcomes

Answer(s): D

Explanation:

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



A manufacturing company wants to use AI within its operations to improve the efficiency and accuracy of its processes.
Which of the following should the organization do first to enable adoption and achieve the business objectives?

  1. Achieve International Organization for Standardization (ISO) 42001 certification.
  2. Hire a data and AI architect.
  3. Select a large language model (LLM).
  4. Introduce a generative adversarial network (GAN).

Answer(s): B

Explanation:

The first step in adopting AI to meet business objectives is to establish the right expertise. A data and AI architect can design the overall strategy, infrastructure, and data pipelines needed for effective AI integration, ensuring alignment with operational goals before selecting specific models or certifications.



Customer feedback for an AI chatbot has a high-rate of non-answers, which is causing higher central processing unit (CPU) utilization.
Which of the following should be implemented?

  1. Guardrails
  2. Response confidence level
  3. Prompt logging
  4. Cost monitoring

Answer(s): B

Explanation:

Implementing a response confidence level ensures the chatbot only provides answers when the model is sufficiently confident. This reduces irrelevant or empty responses, improving user experience and lowering unnecessary CPU utilization.



A security consultant needs to detect attacks across a large language model (LLM) firewall.
Which of the following techniques should the consultant use?

  1. Signature matching
  2. Distributed denial-of-service
  3. Translation analysis
  4. Vulnerability enumeration

Answer(s): A

Explanation:

Signature matching allows the detection of known malicious patterns, inputs, or behaviors targeting an LLM firewall. It is an effective technique for identifying and blocking prompt injection or other recognized attack methods.



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