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D491 intro to data analytics WGU

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D491 intro to data analytics WGU

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  • August 29, 2024
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  • 2024/2025
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D491 intro to data analytics WGU
d. To predict customer churn risk - ANS-A data analyst works at an e-commerce company that
wants to understand its customer churn rate. Their manager has tasked them with conducting a
data analytics project to identify customers at risk of churn and offer these customers targeted
promotions to retain their business.What is the primary purpose of the data analytics project's
results in this scenario?
a. To optimize inventory management
b. To identify customer preferences
c. To compare the company's churn rate to industry benchmarks
d

dd. Corporate information system - ANS-Which information tool is a possible source of data in a
data analytics project?
a. Company logo designs
b. Consumer perception survey questions
c. Marketing slogans
d. Corporate information system

d. Partitioning the data into training, validation, and test sets - ANS-Which activities should be
the focus of the model planning phase?
a. Transforming data to bring information to the surface
b. Visualizing and exploring data patterns
c. Cleaning and conditioning data for analysis
d. Partitioning the data into training, validation, and test sets

b. Assess benefits, implications, and business impact - ANS-What should business users and
project sponsors do with their findings during the operationalize phase of a data analytics
project?
a. Develop and refine data models
b. Assess benefits, implications, and business impact
c. Produce detailed reports and visuals
d. Evaluate project completion and goals

a. Share code and provide implementation details - ANS-A company recently completed a data
analytics project to identify the most energy-efficient products to add to the catalog. The project
team comprised business users, project sponsors, analysts, data scientists, data engineers, and
database administrators. Now, the team needs to share their findings with various
stakeholders.What should the data scientists, data engineer, and database administrator do to
share their findings?
a. Share code and provide implementation details
b. Manage project tim

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