Free Certified Artificial Intelligence Consultant Practice Questions

A.  

Naive Bayes classifier

B.  

Support vector machine SVM

C.  

Linear regression models

D.  

All of the above

E.  

None of the above

A.  

Unsupervised Learning

B.  

Supervised Learning

C.  

Reinforcement Learning

D.  

Semi-supervised Learning

E.  

Support Vector

A.  

AI-fueled product data can uncover what features and attributes your competitors are already providing to consumers.

B.  

AI can be used to generate new product ideas.

C.  

AI can generate many potential product ideas in a short time, to take the right decision.

D.  

a and b only

E.  

a, b and c only

A.  

General AI

B.  

Strong AI

C.  

Narrow AI

D.  

Human AI

E.  

None of the above

A.  

Pipeline design and management

B.  

Pipeline execution and monitoring

C.  

Model monitoring configuration

D.  

a and b only

E.  

a, b, and c only

A.  

In Few-shot learning, the model is given a large number of examples typically 10 or more of each new task it is asked to perform.

B.  

In Few-shot learning, the model is given a small number of examples typically between 3 and 5 of each new task it is asked to perform.

C.  

In Few-shot learning, the model must use its prior knowledge to generalize from examples to perform the task.

D.  

a and b only

E.  

b and c only

A.  

The Elbow method is used to determine the number of clusters to be formed.

B.  

In K-means clustering, the ideal number of clusters is established using the elbow method.

C.  

The elbow method is a heuristic used in cluster analysis to estimate the number of clusters present in a dataset.

D.  

All of the above

E.  

None of the above

A.  

Tokenization

B.  

Part-of-Speech PoS tagging

C.  

Question Answering QA

D.  

a and b only

E.  

a, b and c only

A.  

It provides a roadmap for organizations to become more effective at leveraging data and analytics to power their business and operational models.

B.  

It provides a benchmark against which organizations can measure their data and analytics progress and effectiveness.

C.  

It helps organization to focus on ROI and team.

D.  

a and b only

E.  

a, b and c only

A.  

Define value creation

B.  

Realize value creation

C.  

Scale value creation

D.  

None of the above

E.  

All of the above