IBM C1000-059 Dumps - IBM AI Enterprise Workflow V1 Data Science Specialist PDF Sample Questions

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Exam Code:
C1000-059
Exam Name:
IBM AI Enterprise Workflow V1 Data Science Specialist
62 Questions
Last Update Date : 21 May, 2024
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Sample Questions

Realexamdumps Providing most updated IBM Data and AI: Data and AI Question Answers. Here are a few sample questions:

IBM C1000-059 Sample Question 1

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

Answer: D Explanation: Reference: [Reference: https://en.wikipedia.org/wiki/Machine_learning, ]

IBM C1000-059 Sample Question 2

What is the main difference between traditional programming and machine learning?


Options:

A. Machine learning models take less time to train.
B. Machine learning takes full advantage of SDKs and APIs.
C. Machine learning is optimized to run on parallel computing and cloud computing.
D. Machine learning does not require explicit coding of decision logic.

Answer: E

IBM C1000-059 Sample Question 3

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

Answer: E

IBM C1000-059 Sample Question 4

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


Options:

A. To go deep into the loss function landscape.
B. The higher the number of machine learning algorithms that can be applied, the deeper is the learning.
C. A kind of deeper understanding achieved by any approach taken.
D. It indicates the many layers contributing to a model of the data.

Answer: D Explanation: Reference: [Reference: https://en.wikipedia.org/wiki/Deep_learning, ]

IBM C1000-059 Sample Question 5

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

Answer: C, D, G


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