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

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Total 62 questions

IBM AI Enterprise Workflow V1 Data Science Specialist Questions and Answers

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Question 1

Which distance is applied for multivariate outlier detection?

Options:

A.

Minkowski distance

B.

Manhattan distance

C.

Mahalanobis distance

D.

Euclidean distance

Question 2

A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).

Which two explicit functions are implemented by this neural network? (Choose two.)

Options:

A.

y = affine1(ReLU(affine2(x)))

B.

y = max(affine1(x), affine2(x))

C.

y = affine2(ReLU(affine1(x)))

D.

y = affine2(max(affine1(x), 0))

E.

y = ReLU(affine1(x), affine2(x))

Question 3

With only limited labeled data available how might a neural network use case be realized?

Options:

A.

by assigning random labels

B.

by increasing the depth of the neural network

C.

by creating random data

D.

by using a customized pre-trained model

Question 4

Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)

Options:

A.

standard deviation = 0.5

B.

expected value = 0

C.

expected value = 0.5

D.

expected value = 1

E.

standard deviation = 1

Question 5

In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

Options:

A.

OCR

B.

Hough transformation

C.

Fourier transform

D.

normalized correlation

Question 6

What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?

Options:

A.

linear regression

B.

k-means

C.

local outlier factor (LOF)

D.

naive Bayes

Question 7

Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?

Options:

A.

grid search

B.

population based training

C.

random search

D.

hyperband

Question 8

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 .

Options:

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 9

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

Options:

A.

prescriptive analytics

B.

cognitive analytics

C.

predictive analytics

D.

descriptive analytics

Page: 1 / 6
Total 62 questions