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C1000-059 Exam Dumps - IBM AI Enterprise Workflow V1 Data Science Specialist

Question # 4

The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?

A.

0.2

B.

0.25

C.

0.5

D.

0.33

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Question # 5

What are the various components that make up a time series data?

A.

trend, noise, covariance

B.

trend, noise, kurtosis

C.

trend, seasonality, causation

D.

trend, seasonality, noise

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Question # 6

Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?

A.

complex pattern-based

B.

regex

C.

statistical

D.

dictionary

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Question # 7

Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)

A.

Node.js

B.

Java

C.

PHP

D.

Swift

E.

Python

F.

C/C++

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Question # 8

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

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Question # 9

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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