IBM AI Enterprise Workflow V1 Data Science Specialist (C1000-059) Free Practice Test

Question 1

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

A. model prediction

B. business understanding

C. data preprocessing

D. use case selection

E. model building

F. data exploration

Correct Answer: A,C,F

Question 2

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

A. 0.25

B. 0.2

C. 0.33

D. 0.5

Correct Answer: A

Question 3

A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below:

In this sample, how many cases are false positives and false negatives?

A. 81 false positives and 73 false negatives

B. 81 false positives and 33 false negatives

C. 73 false positives and 81 false negatives

D. 33 false positives and 81 false negatives

Correct Answer: D

Question 4

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

A. square

B. division by random numbers

C. subtract median

D. logarithm

Correct Answer: B

Question 5

What are two methods used to detect outliers in structured data? (Choose two.)

A. multi-label classification

B. one class Support Vector Machine (SVM)

C. gradient descent

D. isolation forest

E. Word2Vec

Correct Answer: B,D

Question 6

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

A. user summary report

B. My Sticky Note

C. persona

D. snapshot

Correct Answer: C

Question 7

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

A. descriptive analytics

B. prescriptive analytics

C. cognitive analytics

D. predictive analytics

Correct Answer: B

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IBM AI Enterprise Workflow V1 Data Science Specialist (C1000-059) Free Practice Test