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Fantastic Latest C1000-154 Test Preparation - Easy and Guaranteed C1000-154 Exam Success

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IBM Watson Data Scientist v1 Sample Questions (Q43-Q48):

NEW QUESTION # 43
How does the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology begin its process model?

A. Model Building
B. Evaluation
C. Data Preparation
D. Business Understanding

Answer: D

NEW QUESTION # 44
Why is it important to create data splits that are reproducible?

A. To ensure that each model run can be exactly replicated for verification and comparison
B. To use more data for testing than for training
C. To guarantee that the model will perform with 100% accuracy on unseen data
D. To allow for larger test sets for more comprehensive testing

Answer: A

NEW QUESTION # 45
Which method is NOT traditionally used for collecting data?

A. Using SQL to fetch data from a data warehouse
B. Scraping data from a webpage
C. Using Python APIs for external data
D. Predicting future trends with machine learning models

Answer: D

NEW QUESTION # 46
An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed.
During which phase should these non-informative entries be removed in the CRISP-DM model?

A. Data Preparation
B. Modeling
C. Business Understanding
D. Data Understanding

Answer: A

NEW QUESTION # 47
In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?

A. To limit the deployment to only use local file storage
B. To effectively integrate and manage data from various sources for analysis and model training
C. To ensure that all data sources are manually processed
D. Because only one type of data source can be used in any deployment

Answer: B

NEW QUESTION # 48
......

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