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IBM C1000-059 Online Practice Exam Questions

The questions of C1000-059 were last updated on May 07,2024 .

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Question#1

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.)

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#2

Given the following matrix multiplication:



What is the value of P?

A. C9
B. 17
C. 12
D. C7

Explanation:
Reference: https://www.mathsisfun.com/algebra/matrix-multiplying.html

Question#3

When should median value be used instead of mean value for imputing missing data?

A. for skewed data
B. for real numbers
C. for normally distributed data
D. for large data sets

Question#4

Which statement is true in the context of evaluating metrics for machine learning algorithms?

A. A random classifier has AUC (the area under ROC curve) of 0.5
B. Using only one evaluation metric is sufficient
C. The F-score is always equal to precision
D. Recall of 1 (100%) is always a good result

Question#5

What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?

A. Cup of Vectors
B. Box of Lexicon
C. Sack of Sentences
D. Bag of Words

Explanation:
Reference: https://medium.com/@adriensieg/text-similarities-da019229c894

Exam Code: C1000-059
Q & A: 62 Q&As
Updated:  May 07,2024

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