Question 1

A financial institution wants to automate the approval of mortgage applications based on applicant income, credit score, and loan amount. The system needs to classify each application as "Approved," "Pending Review," or "Rejected." Which AI model should be used?

Options :

A : Clustering Model

B : Classification Model

C : Generative Model

D : Regression Model

Answer: B

Question 2

An AI chatbot is designed without sanitizing user inputs before sending them to an intent classification model. What risk does this pose to the system?

Options :

A : Model compression failure

B : Prompt injection or logic manipulation

C : Increased false negatives

D : Loss of training data

Answer: B

Question 3

A healthcare provider is deploying an AI-based diagnostic tool for cancer detection. To ensure model reliability, the AI must provide confidence scores for its predictions. What AI governance approach should be applied?

Options :

A : Red Teaming, since adversarial testing validates AI decision reliability

B : Explainable AI (XAI), as it ensures AI decisions are interpretable and provide transparency into model confidence

C : Federated Learning, as decentralized AI training improves privacy

D : Model Compression, since reducing AI model size improves interpretability

Answer: B

Question 4

An attacker sends carefully crafted queries to a language model with the goal of reconstructing the training dataset, including sensitive records. Which threat does this represent?

Options :

A : Input fuzzing

B : Model inversion attack

C : Gradient leakage

D : Adversarial sampling

Answer: B

Question 5

A real estate agency uses a model to estimate property prices based on features like location, square footage, and number of rooms. What type of model is being used?

Options :

A : Classification

B : Association rule mining

C : Clustering

D : Regression

Answer: D

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