WGU - Introduction to Analytics D491 Practice NEWEST
VERSION 2025 WITH COMPLETE QUESTIONS AND
SOLUTION 100% VERIFIED ANSWERS A+ GRADED
FREE
Which type of data analytics project aims to determine why something
happened in the past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
ANSWERS: Diagnostic
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
ANSWERS: 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.
ANSWERS:
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
ANSWERS: 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.
ANSWERS: 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
ANSWERS: 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
ANSWERS: 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
ANSWERS: Designing and maintaining data visualizations and dashboards
VERSION 2025 WITH COMPLETE QUESTIONS AND
SOLUTION 100% VERIFIED ANSWERS A+ GRADED
FREE
Which type of data analytics project aims to determine why something
happened in the past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
ANSWERS: Diagnostic
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
ANSWERS: 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.
ANSWERS:
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
ANSWERS: 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.
ANSWERS: 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
ANSWERS: 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
ANSWERS: 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
ANSWERS: Designing and maintaining data visualizations and dashboards
