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WGU D491 INTRODUCTION TO ANALYTICS OA EXAM AND STUDY GUIDE NEWEST 2024 ACTUAL EXAM 200 QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED$17.99
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1. What is data analytics? The process of analyzing
data to extract insights
- The process of analyzing data to extract in-
sights
- The process of encrypting data to keep it
secure
- The process of storing data in a secure loca-
tion for future use
- The process of collecting data from various
sources
2. What is data science? The practice of using sta-
tistical methods to extract
- The practice of using statistical methods to insights from data
extract insights from data
- A field that involves creating data visualiza-
tions to provide insights
- The process of creating computer programs
to automate tasks
- The study of how computers interact with
human language
3. How is data science different from data analyt- Data science focuses
ics? on developing new algo-
rithms and models, while
- Data science focuses more on tracking ex- data analytics focuses on
perimental data, and data analytics is based using existing models to
on statistical methods and hypotheses. analyze data.
- Data science focuses on developing new
algorithms and models, while data analytics
focuses on using existing models to analyze
data.
- Data science focuses more on data visual-
ization, while data analytics focuses on data
cleaning and preprocessing.
- Data science involves creating new algo-
rithms, while data analytics uses existing sta-
tistical methods.
, WGU - Introduction to Analytics D491
4. Which comparison describes the difference Data analytics is the
between data analytics and data science? process of analyzing data
to extract insights, while
- Data analytics focuses on descriptive analy- data science involves
sis, while data science focuses on prescrip- building and testing mod-
tive analysis. els to make predictions.
- Data analytics is the process of analyzing
data to extract insights, while data science
involves building and testing models to make
predictions.
- Data analytics focuses on statistics, and data
science mainly focuses on qualitative reason-
ing.
- Data science involves analyzing data from
structured sources, while data analytics in-
volves analyzing data from unstructured
sources.
5. Which type of data analytics project aims to Diagnostic
determine why something happened in the
past?
6. What are the different types of data analytics Descriptive, diagnostic,
projects? predictive, and prescrip-
tive analytics
- Data warehousing, data mining, data visual-
ization, and business intelligence
- Regression analysis, time series analysis,
text analytics, and network analysis
- Data collection, data cleaning, data transfor-
mation, and data visualization
- Descriptive, diagnostic, predictive, and pre-
scriptive analytics
, WGU - Introduction to Analytics D491
7. What is the difference between exploratory Exploratory projects in-
and confirmatory data analytics projects? volve testing hypotheses
and finding patterns in
- Exploratory projects involve testing hypothe- data, while confirmatory
ses and finding patterns in data, while con- projects involve verifying
firmatory projects involve verifying existing existing hypotheses.
hypotheses. NOT CORRECT
- 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 pro-
jects involve integrating data from multiple
sources.
8. Which project is considered a data analytics Creating a dashboard to
project? visualize sales data and
monitor inventory levels
- Developing a recommendation system to for a grocery store chain
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 cus-
tomer information for a retail store
9. Why is quality control/assurance crucial for It ensures that the data is
data engineers in a data analytics project? accurate and reliable.
- It ensures that the data is analyzed in a timely
manner.
- It ensures that the data is stored in a secure
location.
, WGU - Introduction to Analytics D491
- It ensures that the data is accurate and reli-
able.
- It ensures that the data is accessible to all
stakeholders.
10. What does a data analyst do in a data analytics Conducts exploratory
project? data analysis to identify
trends and patterns
- Conducts exploratory data analysis to iden-
tify trends and patterns
- Focuses on building machine learning mod-
els
- Oversees data governance and data quality
assurance
- Designs and develops databases and data
pipelines
11. What is the function of a data scientist in an To conduct statistical
organization? analysis and machine
learning modeling
- 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
12. What is the role of a business intelligence Designing and maintain-
analyst? ing data visualizations and
- Overseeing data governance and compli- dashboards
ance
- Developing and implementing data process-
ing pipelines
- Designing and maintaining data visualiza-
tions and dashboards
- Conducting statistical analysis and machine
learning modeling
13.
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