Question 1

Which of the following best describes the term "Supervised Learning" in AI?

Options :

A : A type of machine learning where the model learns from labeled training data.

B : A model designed specifically for reinforcement learning tasks.

C : A type of machine learning where the model learns from unlabeled data.

D : A process where the model learns without any human intervention.

Answer: A

Question 2

Which of the following is a potential benefit of using AI to analyze population health data?

Options :

A : Reducing the amount of clinical data needed

B : Identifying rare diseases

C : Eliminating the need for human oversight in medical decisions

D : Predicting public health trends and outbreaks

Answer: D

Question 3

What is a significant challenge of AutoML (Automated Machine Learning) in complex enterprise AI workflows?

Options :

A : It exclusively generates linear regression

B : It limits the amount of training data used

C : It primarily works with shallow networks

D : It reduces model transparency and control

Answer: D

Question 4

What does the Schmarzo theorem identify as a key challenge when it comes to the valuation of intangible data assets?

Options :

A : Valuation uncertainty

B : Asset depreciation

C : Market unpredictability

D : Utilization difficulty

Answer: A

Question 5

In NLP, what is the primary advantage of using word embeddings like Word2Vec over traditional one-hot encoding?

Options :

A : Reduced computational complexity

B : More effective handling of rare words

C : Ability to capture syntactic and semantic relationships between words

D : Easier interpretation of model results

Answer: C

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