Question 1

You have a dataset that contains information about taxi journeys that occurred during a given period.

You need to train a model to predict the fare of a taxi journey.

What should you use as a feature?

Options :

A : the number of taxi journeys in the dataset

B : the trip distance of individual taxi journeys

C : the fare of individual taxi journeys

D : the trip ID of individual taxi journeys

Answer: B

Question 2

You need to identify street names based on street signs in photographs.

Which type of computer vision should you use?

Options :

A : object detection

B : optical character recognition (OCR)

C : image classification

D : facial recognition

Answer: C

Question 3

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

Options :

A : classification

B : regression

C : clustering

Answer: C

Question 4

Extracting relationships between data from large volumes of unstructured data is an example of which type of Al workload?

Options :

A : computer vision

B : knowledge mining

C : natural language processing (NLP)

D : anomaly detection

Answer: B

Question 5

You need to make the written press releases of your company available in a range of languages.

Which service should you use?

Options :

A : Speech

B : Language

C : Translator

D : Personalizer

Answer: C