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  • Questions: 62 Q&A's With Detailed Explanation
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  • Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
  • Last Update: 05-Dec-2024
  • Questions and Answers: 62
  • Single Choice: 48 Q&A's
  • Multiple Choice: 13 Q&A's
  • Drag Drop: 1 Q&A's

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C1000-059 Questions and Answers

Question # 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.

Find the sum of the transaction prices

B.

Select the largest transaction amount by month and store

C.

Write a GROUP BY query

D.

Plot a time series plot of transaction amounts

E.

Generate a pivot table

Question # 2

What is the goal of the backpropagation algorithm?

A.

to randomize the trajectory of the neural network parameters during training

B.

to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas

C.

to scale the gradient descent step in proportion to the gradient magnitude

D.

to compute the gradient of the loss function with respect to the neural network parameters

Question # 3

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

A.

prescriptive analytics

B.

cognitive analytics

C.

predictive analytics

D.

descriptive analytics

Question # 4

What is used to scale large positive values during data cleaning?

A.

division by random numbers

B.

square

C.

logarithm

D.

subtract median

Question # 5

What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark? (Choose three.)

A.

model building

B.

data preprocessing

C.

model prediction

D.

business understanding

E.

use case selection

F.

data exploration

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