C1000-059試験無料問題集（64題）「IBM AI Enterprise Workflow V1 Data Science Specialist 認定」

出題：1

A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount.
If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)

A. Select the largest transaction amount by month and store

B. Generate a pivot table

C. Write a GROUP BY query

D. Find the sum of the transaction prices

E. Plot a time series plot of transaction amounts

正解：A,E 解答を投票する

出題：2

Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?

A. variance

B. accuracy

C. skewness

D. mean

正解：B 解答を投票する

出題：3

What is the name of the design thinking work product that contains a summary description of a particular person or role?

A. persona

B. user summary report

C. snapshot

D. My Sticky Note

正解：A 解答を投票する

出題：4

What statement is true about UTF-8?

A. It is rarely used today.

B. It is encoding for Unicode characters.

C. It is encoding for Latin script.

D. It is equal to ASCII.

正解：B 解答を投票する

出題：5

In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

A. OCR

B. Hough transformation

C. normalized correlation

D. Fourier transform

正解：C 解答を投票する

出題：6

In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

A. The number of hyperparameters you have to tune.

B. The amount of computational power you can access.

C. The presence of local minima in your neural network.

D. Whether you use batch or mini-batch optimization.

正解：B 解答を投票する

C1000-059試験無料問題集「IBM AI Enterprise Workflow V1 Data Science Specialist 認定」