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IBM AI Enterprise Workflow V1 Data Science Specialist

Last Update 22 hours ago Total Questions : 62

The IBM AI Enterprise Workflow V1 Data Science Specialist content is now fully updated, with all current exam questions added 22 hours ago. Deciding to include C1000-059 practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our C1000-059 exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these C1000-059 sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any IBM AI Enterprise Workflow V1 Data Science Specialist practice test comfortably within the allotted time.

Question # 11

Determine the number of bigrams and trigrams in the sentence. " Data is the new oil " .

A.

3 bigrams, 3 trigrams

B.

4 bigrams, 4 trigrams

C.

3 bigrams, 4 trigrams

D.

4 bigrams, 3 trigrams

Question # 12

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 # 13

What statement is true about UTF-8?

A.

It is encoding for Latin script.

B.

It is rarely used today.

C.

It is encoding for Unicode characters.

D.

It is equal to ASCII.

Question # 14

A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.

From the graph, what modification would be appropriate to improve the performance of the model?

A.

increase the depth of the neural network

B.

insert a dropout layer in the neural network architecture

C.

increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset

D.

restart the training with a higher learning rate

Question # 15

Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

A.

Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.

B.

Do not apply any data transformation or feature extraction or feature engineering steps.

C.

Leverage only deep learning algorithms.

D.

Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

Question # 16

If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .

A.

64 inches and 74 inches

B.

66.5 inches and 69 inches

C.

71.5 inches and 76.5 inches

D.

66.5 inches and 71.5 inches

Question # 17

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

A.

persona

B.

snapshot

C.

My Sticky Note

D.

user summary report

Question # 18

A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and another cat.

Assuming they used a binary vectorizer, what is the resulting weight for the word cat?

A.

0

B.

1

C.

3

D.

2

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