Free Practice USAII CAIC Exam Questions 2025

Stay ahead with 100% Free Certified Artificial Intelligence Consultant (CAIC) CAIC Dumps Practice Questions

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Total 480 Questions | Updated On: Jun 03, 2025

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Question 1

In the context of selecting AI projects, which factor is most important in ensuring long-term sustainability and scalability?

A : The ability to secure ongoing funding and resources for project expansion

B : The project’s reliance on cutting-edge technologies and frameworks

C : The immediate impact of the project on a small, targeted area of the business

D : The technical expertise of the team members involved in the project

Answer: A

Question 2

What is the primary difference between supervised and unsupervised learning?

A : Supervised learning optimizes for accuracy, while unsupervised learning optimizes for precision.

B : Supervised learning is only applicable to regression problems, while unsupervised learning is used for classification.

C : Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.

D : Supervised learning can only be used for small datasets, while unsupervised learning works with large datasets.

Answer: C

Question 3

Which factor, according to the Schmarzo theorem, directly affects the scalability of economic value derived from digital assets?

A : Data relevance

B : Algorithmic design

C : Infrastructure use

D : Talent acquisition

Answer: A

Question 4

What is the significance of ROUGE (Recall-Oriented Understudy for Gisting Evaluation) scores in evaluating text summarization models in a business context?

A : ROUGE scores assess the originality of the generated summaries

B : ROUGE scores evaluate the similarity between the generated summary and a reference summary

C : ROUGE scores measure the computational efficiency of summarization models

D : ROUGE scores determine the length of the summary relative to the original text

Answer: B

Question 5

Which technique is commonly used to stabilize the training of GANs and prevent oscillations?

A : Momentum-based gradient descent.

B : Batch normalization in all layers.

C : Adaptive learning rate strategies.

D : Gradient penalty application.

Answer: D

Page: 1 / 96

Total 480 Questions | Updated On: Jun 03, 2025

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