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 May 3, 2025.

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Question No. 1

Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

A3 bigrams, 3 trigrams

B4 bigrams, 4 trigrams

C3 bigrams, 4 trigrams

D4 bigrams, 3 trigrams

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Correct Answer: A

Question No. 2

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

Aprescriptive analytics

Bcognitive analytics

Cpredictive analytics

Ddescriptive analytics

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Correct Answer: A

Question No. 3

What is the meaning of "deep" in deep learning?

ATo go deep into the loss function landscape.

BThe higher the number of machine learning algorithms that can be applied, the deeper is the learning.

CA kind of deeper understanding achieved by any approach taken.

DIt indicates the many layers contributing to a model of the data.

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Correct Answer: D

Question No. 4

What is the goal of the backpropagation algorithm?

Ato randomize the trajectory of the neural network parameters during training

Bto smooth the gradient of the loss function in order to avoid getting trapped in small local minimas

Cto scale the gradient descent step in proportion to the gradient magnitude

Dto compute the gradient of the loss function with respect to the neural network parameters

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Correct Answer: B

Question No. 5

Which statement defines p-value?

AIt is the probability of accepting a null hypothesis when the hypothesis is proven true.

BIt is the probability of rejecting a null hypothesis when the hypothesis is proven false.

CIt is the probability of accepting a null hypothesis when the hypothesis is proven false.

DIt is the probability of rejecting a null hypothesis when the hypothesis is proven true.

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Correct Answer: C

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