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 C1000-059 Dumps with Practice Exam Questions Answers

Questions: 62 questions

Last Update: Jun 2, 2024

IBM Certification Exam C1000-059 has been designed to measure your skills in handling the technical tasks mentioned in the certification syllabus

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C1000-059 Questions and Answers

Question # 1

Which situation would disqualify a machine learning system from being used for a particular use case?


The use case requires a 100% likelihood of making a correct/true prediction.


Training and testing data for the model contain outliers.


Data for the machine learning model is available only as static CSV files.


The neural network for the model requires significantly more computing power than a logistic regression model.

Question # 2

A classification task has examples that are labeled as belonging to one of two classes:

•90% of the examples belong to class-1

•10% belong to class-2

Which two techniques are appropriate to deal with the class imbalance? (Choose two.)


apply dimensionality reduction to the features before training


impose an additional cost on the model for making classification mistakes on the minority class during training


lower the detection threshold of the minority class after training


oversample the minority class and/or undersample the majority class


after training, divide the model accuracy of each class by the proportion that they represent in the dataset

Question # 3

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:

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


33 false positives and 81 false negatives


81 false positives and 73 false negatives


73 false positives and 81 false negatives


81 false positives and 33 false negatives

Question # 4

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









Question # 5

Which is an example of a nominal scale data?


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


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


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


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