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C1000-059 IBM AI Enterprise Workflow V1 Data Science Specialist Question and Answers

Question # 4

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

A.

grid search

B.

population based training

C.

random search

D.

hyperband

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Question # 5

What are three operators used by genetic programming? (Choose three.)

A.

reciprocation

B.

mutation

C.

duel

D.

selection

E.

sheltering

F.

crossover

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Question # 6

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

A.

samples collected are skewed with each other

B.

samples collected are all strongly correlated with each other

C.

samples collected adequately cover the space of all possible scenarios

D.

samples collected focus only on the most common cases

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Question # 7

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

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Question # 8

What is a class of machine learning problems where the algorithm builds a mathematical model from a set of data that contains both the inputs and the desired outputs?

A.

unsupervised learning

B.

mentoring

C.

reinforcement learning

D.

supervised learning

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Question # 9

Which distance is applied for multivariate outlier detection?

A.

Minkowski distance

B.

Manhattan distance

C.

Mahalanobis distance

D.

Euclidean distance

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