Question 1

What is the primary advantage of using AI for credit scoring over traditional methods?

Options :

A : AI eliminates the need for regulatory compliance in credit decisions.

B : AI models are less complex and easier to implement.

C : AI can incorporate a wider range of data sources and features.

D : AI requires less data to make predictions.

Answer: C

Question 2

Which of the following is a key ethical concern in artificial intelligence?

Options :

A : The high computational cost of training models.

B : Maximizing the accuracy of AI models.

C : Developing AI systems faster than competitors.

D : Ensuring that AI systems are interpretable and transparent.

Answer: D

Question 3

In AI-powered cloud infrastructure, data sovereignty is a growing concern due to which emerging trend?

Options :

A : Increased use of AI-driven decentralized cloud storage solutions

B : Decline in the utilization of multi-cloud architectures

C : Centralized data storage on cloud providers’ servers

D : Transition from hybrid to on-premise-only cloud solutions

Answer: A

Question 4

Why is it important to use pre-trained models like GPT-3 or BERT in business applications involving complex text generation tasks, and how do they enhance performance?

Options :

A : Pre-trained models provide state-of-the-art performance by leveraging vast amounts of prior knowledge

B : Pre-trained models reduce the need for extensive hyperparameter tuning

C : Pre-trained models eliminate the need for labeled training data

D : Pre-trained models simplify the model architecture by reducing the number of layers needed

Answer: A

Question 5

In the context of text summarization, what is the primary difference between extractive and abstractive summarization?

Options :

A : Extractive summarization is faster but less accurate than abstractive summarization

B : Extractive summarization requires deep learning models, while abstractive summarization does not

C : Extractive summarization generates new sentences, while abstractive summarization selects key sentences

D : Extractive summarization selects key sentences from the text, while abstractive summarization generates new sentences

Answer: D

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