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Questions # 11:

Which is an example of a nominal scale data?

Options:

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

Questions # 12:

What statement is true about UTF-8?

Options:

A.

It is encoding for Latin script.

B.

It is rarely used today.

C.

It is encoding for Unicode characters.

D.

It is equal to ASCII.

Questions # 13:

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

Options:

A.

To go deep into the loss function landscape.

B.

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

C.

A kind of deeper understanding achieved by any approach taken.

D.

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

Questions # 14:

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:

Question # 14

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

Options:

A.

33 false positives and 81 false negatives

B.

81 false positives and 73 false negatives

C.

73 false positives and 81 false negatives

D.

81 false positives and 33 false negatives

Questions # 15:

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

Question # 15

Options:

A.

0.2

B.

0.25

C.

0.5

D.

0.33

Questions # 16:

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

Options:

A.

model building

B.

data preprocessing

C.

model prediction

D.

business understanding

E.

use case selection

F.

data exploration

Questions # 17:

Given the following sentence:

The dog jumps over a fence.

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

Options:

A.

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

B.

['fence', 'jumps']

C.

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

D.

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

Questions # 18:

What are the various components that make up a time series data?

Options:

A.

trend, noise, covariance

B.

trend, noise, kurtosis

C.

trend, seasonality, causation

D.

trend, seasonality, noise

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