IBM C1000-059 Exam Questions - Real Practice Questions for Guaranteed Success

Question 1

Which statement defines p-value?

AIt is the probability of accepting a null hypothesis when the hypothesis is proven true.

BIt is the probability of rejecting a null hypothesis when the hypothesis is proven false.

CIt is the probability of accepting a null hypothesis when the hypothesis is proven false.

DIt is the probability of rejecting a null hypothesis when the hypothesis is proven true.

Correct : C

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AIt is the probability of accepting a null hypothesis when the hypothesis is proven true.

BIt is the probability of rejecting a null hypothesis when the hypothesis is proven false.

CIt is the probability of accepting a null hypothesis when the hypothesis is proven false.

DIt is the probability of rejecting a null hypothesis when the hypothesis is proven true.

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Question 2

Given the following sentence:

The dog jumps over a fence.

What would a vectorized version after common English stopword removal look like?

A['dog', 'fence', 'run']

B['fence', 'jumps']

C['dog', 'fence', 'jumps']

D['a', 'dog', 'fence', 'jumps', 'over', 'the']

Correct : C

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A['dog', 'fence', 'run']

B['fence', 'jumps']

C['dog', 'fence', 'jumps']

D['a', 'dog', 'fence', 'jumps', 'over', 'the']

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Question 3

Which algorithm is best suited if a client needs full explainability of the machine learning model?

Adecision tree

Blogistic regression

Csupport vector machine (SVM)

Drecurrent neural network

Correct : A

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Adecision tree

Blogistic regression

Csupport vector machine (SVM)

Drecurrent neural network

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Question 4

What is the meaning of "deep" in deep learning?

ATo go deep into the loss function landscape.

BThe higher the number of machine learning algorithms that can be applied, the deeper is the learning.

CA kind of deeper understanding achieved by any approach taken.

DIt indicates the many layers contributing to a model of the data.

Correct : D

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ATo go deep into the loss function landscape.

BThe higher the number of machine learning algorithms that can be applied, the deeper is the learning.

CA kind of deeper understanding achieved by any approach taken.

DIt indicates the many layers contributing to a model of the data.

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Question 5

Which is the most important thing to ensure while collecting data?

Asamples collected are skewed with each other

Bsamples collected are all strongly correlated with each other

Csamples collected adequately cover the space of all possible scenarios

Dsamples collected focus only on the most common cases

Correct : A

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Asamples collected are skewed with each other

Bsamples collected are all strongly correlated with each other

Csamples collected adequately cover the space of all possible scenarios

Dsamples collected focus only on the most common cases

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