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Free IBM C1000-059 Practice Exam with Questions & Answers

Questions 1

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.)

Options:
A.

apply dimensionality reduction to the features before training

B.

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

C.

lower the detection threshold of the minority class after training

D.

oversample the minority class and/or undersample the majority class

E.

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

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Questions 2

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 3

Which two statements are correct about deploying machine learning models? (Choose two.)

Options:
A.

It allows integration within business applications.

B.

It makes it possible to create reports for management dynamically using specific parameters from executives.

C.

It is critical for achieving high accuracy in training.

D.

It is a necessary step in training and evaluating the performance of the models.

E.

It is only possible on the cloud because they require a large amount of compute resources.

Questions 4

What is used to scale large positive values during data cleaning?

Options:
A.

division by random numbers

B.

square

C.

logarithm

D.

subtract median

Questions 5

A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount.

If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)

Options:
A.

Find the sum of the transaction prices

B.

Select the largest transaction amount by month and store

C.

Write a GROUP BY query

D.

Plot a time series plot of transaction amounts

E.

Generate a pivot table

Questions 6

Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)

Options:
A.

standard deviation = 0.5

B.

expected value = 0

C.

expected value = 0.5

D.

expected value = 1

E.

standard deviation = 1

Questions 7

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

Questions 8

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%.

C1000-059 Question 8

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

Options:
A.

increase the depth of the neural network

B.

insert a dropout layer in the neural network architecture

C.

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

D.

restart the training with a higher learning rate

Questions 9

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

Options:
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

Questions 10

Which distance is applied for multivariate outlier detection?

Options:
A.

Minkowski distance

B.

Manhattan distance

C.

Mahalanobis distance

D.

Euclidean distance

Exam Code: C1000-059
Certification Provider: IBM
Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Last Update: Jul 17, 2025
Questions: 62

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