Most Recent IBM C1000-059 Exam Dumps

Prepare for the IBM AI Enterprise Workflow V1 Data Science Specialist exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the IBM C1000-059 exam and achieve success.

The questions for C1000-059 were last updated on Jul 20, 2026.

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Question No. 1

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

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Correct Answer: D

Question No. 2

Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?

Acomplex pattern-based

Bregex

Cstatistical

Ddictionary

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Correct Answer: C

Question No. 3

In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

AOCR

BHough transformation

CFourier transform

Dnormalized correlation

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Correct Answer: D

Question No. 4

After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.

What is the most likely reason for this problem?

ACSV files cannot be used as data sources in Watson Studio.

BThe CSV file was converted to a binary blob and must be converted in the notebook code.

CThe CSV file is stored in a Cloud Object Storage.

DThe CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.

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Correct Answer: C

Question No. 5

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?

A33 false positives and 81 false negatives

B81 false positives and 73 false negatives

C73 false positives and 81 false negatives

D81 false positives and 33 false negatives

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Correct Answer: A

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