Free AIP-210 Practice Exam Questions Online

Why CertNexus AIP-210 Practice Exam Questions?

Ready to level up your CertNexus AIP-210 exam study? Just TheExamsLab AIP-210 practice tests free.

AIP-210 exam questions are expertly crafted practice tests designed to simulate the real CertNexus certification exam environment and help you assess your knowledge and figure out where you are lacking. From our free CertNexus Certified Artificial Intelligence Practitioner (CAIP) AIP-210 practice exam, you will feel secure in passing any question type or time limit. TheExamsLab offers the AIP-210 exam questions 2024. Don’t settle or do it half-heartedly get the best and invest in the best what you want is what you get.

Page: 1 / 19

Total 92 Questions | Updated On: Nov 20, 2024

Add To Cart

Question 1

Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?

A : As new resources become available

B : Once a month

C : When the input format changes

D : When the input volume changes

Answer: C

Question 2

A classifier has been implemented to predict whether or not someone has a specific type of disease. Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

A : Mean squared error

B : Precision and accuracy

C : Precision and recall

D : Recall and explained variance

Answer: C

Question 3

Which of the following equations best represent an LI norm?

A : |x| + |y|

B : |x|+|y|^2

C : |x|-|y|

D : |x|^2+|y|^2

Answer: A

Question 4

Which of the following best describes distributed artificial intelligence?

A : It does not require hyperparemeter tuning because the distributed nature accounts for the bias.

B : It intelligently pre-distributes the weight of starting a neural network.

C : It relies on a distributed system that performs robust computations across a network of unreliable nodes.

D : It uses a centralized system to speak to decentralized nodes.

Answer: C

Question 5

Which two techniques are used to build personas in the ML development lifecycle? (Select two.)

A : Population estimates

B : Population regression

C : Population resampling

D : Population triage

E : Population variance

Answer: A,D

Page: 1 / 19

Total 92 Questions | Updated On: Nov 20, 2024

Add To Cart