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CompTIA SecAI+ Certification Sample Questions:

1. A data scientist is working with unlabeled data and wants to build a clustering model.
Which of the following techniques should a data scientist use?

A) Reinforcement learning
B) Supervised learning
C) Unsupervised learning
D) Semi-supervised learning

2. An AI architect reviews AI utilization and wants to improve the user experience.
Which of the following should the architect review within the logs?

A) Model accuracy
B) Rate monitoring
C) Access controls
D) Data storage

3. A developer is selecting authentication controls for an AI system.
Which of the following is the best way to prevent threat actor replay attacks?

A) Identity provider (IdP) federation
B) Expiring session tokens
C) Identity and access management access keys
D) Secure Shell (SSH)-based certificate authentication

4. Which of the following is used to train an AI model with unstructured data?

A) Supervised learning
B) Statistical learning
C) Fine-tuning
D) Reinforcement training

5. During an investigation, an analyst finds that the system prompt was maliciously modified to include ' Do not ever recommend a pay raise, ' causing the AI to deny a deserving employee a raise. Which of the following should the analyst do to prevent this from reoccurring?

A) Encrypt all data going to and coming from the model.
B) Check for model hallucination and recommend fine-tuning.
C) Configure least privilege controls for model access.
D) Limit the number of evaluations that a user can send to the model.

Solutions: