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Free Practice Questions for the IBM Data and AI: Data and AI C1000-059 Exam (2026 Updated)

At Marks4sure, we are dedicated to providing IT professionals with the most accurate and reliable preparation materials for the IBM C1000-059 exam. To support your certification journey, we have made a selection of our premium 2026 IBM Data and AI: Data and AI practice questions and answers available completely free. You can take this practice test as many times as you need. Every question includes a detailed, expertly verified explanation to ensure you fully grasp the core security concepts before test day.

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Questions 4

What is the best step by step order for machine learning pipeline?

C1000-059 Question 4

Options:

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Questions 5

What is the name of the design thinking work product that contains a summary description of a particular person or role?

Options:

A.

persona

B.

snapshot

C.

My Sticky Note

D.

user summary report

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Questions 6

What is a class of machine learning problems where the algorithm is given feedback in the form of positive or negative reward in a dynamic environment?

Options:

A.

reinforcement learning

B.

feedback-based optimization

C.

dynamic programming

D.

reward learning

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Questions 7

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

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Questions 8

When communicating technical results to business stakeholders, what are three appropriate topics to include? (Choose three.)

Options:

A.

methods that failed

B.

newest developments in AI methods

C.

benefits of cognitive over business analytics

D.

realistic impact on the business measures

E.

differences between cloud provider portfolios

F.

alternative methods to address the business problem

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Questions 9

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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Questions 10

When should median value be used instead of mean value for imputing missing data?

Options:

A.

for skewed data

B.

for real numbers

C.

for normally distributed data

D.

for large data sets

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Questions 11

In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

Options:

A.

The number of hyperparameters you have to tune.

B.

The presence of local minima in your neural network.

C.

The amount of computational power you can access.

D.

Whether you use batch or mini-batch optimization.

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Questions 12

What are two hyperparameters used when building a k-means model? (Choose two.)

Options:

A.

kernel

B.

learning rate

C.

number of iterations

D.

number of clusters

E.

number of neighbors

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Questions 13

A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).

Which two explicit functions are implemented by this neural network? (Choose two.)

Options:

A.

y = affine1(ReLU(affine2(x)))

B.

y = max(affine1(x), affine2(x))

C.

y = affine2(ReLU(affine1(x)))

D.

y = affine2(max(affine1(x), 0))

E.

y = ReLU(affine1(x), affine2(x))

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Questions 14

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?

Options:

A.

unsupervised learning

B.

mentoring

C.

reinforcement learning

D.

supervised learning

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Questions 15

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 15

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

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Questions 16

Which is a technique that automates the handling of categorical variables?

Options:

A.

binary encoding

B.

decoding

C.

autoencoding

D.

one-hot encoding

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Questions 17

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

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Questions 18

Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)

Options:

A.

Node.js

B.

Java

C.

PHP

D.

Swift

E.

Python

F.

C/C++

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Exam Code: C1000-059
Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Last Update: Jun 27, 2026
Questions: 62

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