Question 1

An e-commerce platform's recommendation system begins suggesting inappropriate items to users. Upon inspection, analysts find the model was influenced by manipulated user profiles injected by an external source. What vulnerability is being exploited?

Options :

A : Model distillation

B : Shadow model attack

C : Poisoned user behavior data

D : Output truncation

Answer: C

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 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 4

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

Question 5

A dataset contains a feature with 100 categories, but only 5 samples are available for each category. What potential issue could arise when training a model on this dataset?

Options :

A : Data imbalance

B : Data normalization

C : Underfitting

D : Overfitting

Answer: A

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