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WGU D491 INTRODUTION TO ANALYTICS AND PRACTICE EXAM (TEST BANK) WITH CORRECT Qs and As FROM EXPERT What are the different types of data analytics projects? - Data warehousing, data mining, data visualization, and business intelligence - Regression ana$8.16
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WGU D491 INTRODUTION TO ANALYTICS AND PRACTICE EXAM (TEST BANK) WITH CORRECT Qs and As FROM EXPERT What are the different types of data analytics projects? - Data warehousing, data mining, data visualization, and business intelligence - Regression ana
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Course
WGU D491 INTRODUTION TO ANALYTICS AND PRACTICE
Institution
WGU D491 INTRODUTION TO ANALYTICS AND PRACTICE
WGU D491 INTRODUTION TO ANALYTICS
AND PRACTICE EXAM (TEST BANK) WITH
CORRECT Qs and As FROM EXPERT
What are the different types of data analytics projects?
- Data warehousing, data mining, data visualization, and
business intelligence
- Regression analysis, time series analysis, text ana...
WGU D491 INTRODUTION TO ANALYTICS
AND PRACTICE EXAM (TEST BANK) WITH
CORRECT Qs and As FROM EXPERT
What are the different types of data analytics projects?
- Data warehousing, data mining, data visualization, and
business intelligence
- Regression analysis, time series analysis, text analytics,
and network analysis
- Data collection, data cleaning, data transformation, and
data visualization
- Descriptive, diagnostic, predictive, and prescriptive
analytics
ANSWER-Descriptive, diagnostic, predictive, and
prescriptive analytics
What is the difference between exploratory and
confirmatory data analytics projects?
- Exploratory projects involve testing hypotheses and
finding patterns in data, while confirmatory projects
involve verifying existing hypotheses.
- Exploratory projects involve analyzing data that is
already structured, while confirmatory projects involve
analyzing unstructured data.
,- Exploratory projects involve analyzing large datasets,
while confirmatory projects involve analyzing smaller
datasets.
- Exploratory projects involve analyzing data from a
single source, while confirmatory projects involve
integrating data from multiple sources.
ANSWER-Exploratory projects involve testing
hypotheses and finding patterns in data, while
confirmatory projects involve verifying existing
hypotheses.
NOT CORRECT
Which project is considered a data analytics project?
- Developing a recommendation system to suggest new
products to customers based on their past purchases
- Creating a dashboard to visualize sales data and
monitor inventory levels for a grocery store chain
- Building a predictive model to forecast stock prices for
a financial services company
- Designing a database schema to store customer
information for a retail store
ANSWER-Creating a dashboard to visualize sales data
and monitor inventory levels for a grocery store chain
Why is quality control/assurance crucial for data
engineers in a data analytics project?
- It ensures that the data is analyzed in a timely manner.
,- It ensures that the data is stored in a secure location.
- It ensures that the data is accurate and reliable.
- It ensures that the data is accessible to all stakeholders.
ANSWER-It ensures that the data is accurate and
reliable.
What does a data analyst do in a data analytics project?
- Conducts exploratory data analysis to identify trends
and patterns
- Focuses on building machine learning models
- Oversees data governance and data quality assurance
- Designs and develops databases and data pipelines
ANSWER-Conducts exploratory data analysis to
identify trends and patterns
What is the function of a data scientist in an
organization?
- To design and maintain data visualizations and
dashboards
- To oversee data governance and compliance
- To work independently to analyze data and make
decisions based on their findings
- To conduct statistical analysis and machine learning
modeling
ANSWER-To conduct statistical analysis and machine
learning modeling
, What is the role of a business intelligence analyst?
- Overseeing data governance and compliance
- Developing and implementing data processing pipelines
- Designing and maintaining data visualizations and
dashboards
- Conducting statistical analysis and machine learning
modeling
ANSWER-Designing and maintaining data
visualizations and dashboards
What is a primary responsibility of a data engineer?
- Designing and implementing data storage solutions
- Designing and developing data visualizations for
stakeholders
- Analyzing and interpreting data to inform business
decisions
- Developing predictive models using machine learning
algorithms
ANSWER-Designing and implementing data storage
solutions
What is a primary responsibility of a machine learning
engineer?
- Developing predictive models using machine learning
algorithms
- Analyzing and interpreting data to inform business
decisions
- Designing and developing data visualizations for
stakeholders
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