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Actual IBM C1000-059 Exam Questions

Question 1

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 answer: A

Question 2

A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.

From the graph, what modification would be appropriate to improve the performance of the model?

Aincrease the depth of the neural network

Binsert a dropout layer in the neural network architecture

Cincrease the proportion of the train dataset by moving examples from the validation dataset to the train dataset

Drestart the training with a higher learning rate

Correct answer: D

Question 3

Which is an example of a nominal scale data?

Aa variable industry with categorical values such as financial, engineering, and retail

Ba variable mood with a scale of values unhappy, ok, and happy

Ca variable bank account balance whose possible values are $5, $10, and $15

Da variable temperature with a scale of values low, medium, and high

Correct answer: C

Question 4

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

AA random classifier has AUC (the area under ROC curve) of 0.5

BUsing only one evaluation metric is sufficient

CThe F-score is always equal to precision

DRecall of 1 (100%) is always a good result

Correct answer: B

Question 5

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 answer: A

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