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WGU D491 Objective Assessment
1 of 97
Term
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
scientist, data engineer, and database administrator do to share their
findings?
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Designing and implementing data
To predict customer churn risk
storage solutions
Share code and provide What are the most popular products
implementation details at each store's location?
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2 of 97
Definition
Data visualization tools and presentation software
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Which groups make up the key Which task is the data analyst
stakeholders in a data analytics responsible for within data analysis
project? project?
Which skills are required by data
Which tools are commonly used
scientists for converting unstructured
for communicating results in
data to structured data in data
data analytics projects?
analytics porjects?
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, 3 of 97
Term
In which phase of the data mining process does the data science team
investigate the problem, develop context and understanding, learn
about available data sources, and formulate initial hypothesis?
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Discovery Continous
Logistic regression Model planning
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4 of 97
Term
Which comparison describes the difference between data analytics
and data science?
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Data wrangling skills
, Data preparation
Data analytics is the process o analyzing data to extract insights, while data
science involves building and testing models to make predictions.
By analyzing sales data, the data analyst can apply association rules to discover
frequent item sets, which are groups of items often purchased together.
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5 of 97
Term
What role do stakeholders play in the project cycle?
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Oversee the project team and ensure
By providing input throughout the
the project is completed on time and
project lifecycle
within budget
Provide guidance and feedback Designing and maintaining data
throughout the project visualizations and dashboards
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