IBM C1000-059 - Verified Dumps PDF and Exam Questions for Success

IBM C1000-059 Exam Dumps

Certification Exams

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Number Of Questions: 62

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Exam Details

Exam Name:

IBM AI Enterprise Workflow V1 Data Science Specialist

Exam Code:

C1000-059

Total Questions in Exam:

Demo Questions

Q1. 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 presence of local minima in your neural network.

C. The amount of computational power you can access.

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

Answer

Correct Answer: C

Q2. 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

Answer

Correct Answer: B

Q3. 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

Answer

Correct Answer: B, D

Q4. Which is an example of a nominal scale data?

A.a variable industry with categorical values such as financial, engineering, and retail

B. a variable mood with a scale of values unhappy, ok, and happy

C. a variable bank account balance whose possible values are $5, $10, and $15

D. a variable temperature with a scale of values low, medium, and high

Answer

Correct Answer: C

Answer

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IBM C1000-059 Exam Dumps

Certification Exams

Downloadable PDF versions

100% Confidential

Updated Regularly

Advanced Features

Number Of Questions: 62

Exam Details

Demo Questions

Q1. 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 presence of local minima in your neural network.

C. The amount of computational power you can access.

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

Q2. 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

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

Q4. Which is an example of a nominal scale data?

A.a variable industry with categorical values such as financial, engineering, and retail

B. a variable mood with a scale of values unhappy, ok, and happy

C. a variable bank account balance whose possible values are $5, $10, and $15

D. a variable temperature with a scale of values low, medium, and high

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