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WGU D491 OA INTRODUCTION TO ANALYTICS LATEST OBJECTIVE ASSESSMENT PREP EXAM WITH REAL EXAM QUESTIONS & 100 CORRECT ANSWERS ALREADY GRADED A+ WGU D491 OA ACTUAL EXAM (BRAND NEW!!)

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WGU D491 OA INTRODUCTION TO ANALYTICS LATEST OBJECTIVE ASSESSMENT PREP EXAM WITH REAL EXAM QUESTIONS & 100 CORRECT ANSWERS ALREADY GRADED A+ WGU D491 OA ACTUAL EXAM (BRAND NEW!!)

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WGU D491
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October 20, 2025
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Written in
2025/2026
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WGU D491 OA INTRODUCTION TO ANALYTICS
LATEST OBJECTIVE ASSESSMENT PREP EXAM
WITH REAL EXAM QUESTIONS & 100 CORRECT
ANSWERS ALREADY GRADED A+ WGU D491 OA
ACTUAL EXAM (BRAND NEW!!)


What is data analytics?


The process of analyzing data to extract insights
The process of encrypting data to keep it secure
The process of storing data in a secure location for future use
The process of collecting data from various sources - (ANSWERS)The
process of analyzing data to extract insights


What is data science?


The practice of using statistical methods to extract insights from data
A field that involves creating data visualizations to provide insights
The process of creating computer programs to automate tasks
The study of how computers interact with human language -
(ANSWERS)The practice of using statistical methods to extract insights
from data


How is data science different from data analytics?


,WGU D491 OA INTRODUCTION TO ANALYTICS
LATEST OBJECTIVE ASSESSMENT PREP EXAM
WITH REAL EXAM QUESTIONS & 100 CORRECT
ANSWERS ALREADY GRADED A+ WGU D491 OA
ACTUAL EXAM (BRAND NEW!!)




Data science focuses more on tracking experimental data, and data analytics
is based on statistical methods and hypotheses.
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 visualization, while data analytics focuse
on data cleaning and preprocessing.
Data science involves creating new algorithms, while data analytics uses
existing statistical methods. - (ANSWERS)Data science focuses on
developing new algorithms and models, while data analytics focuses on
using existing models to analyze data.


Which comparison describes the difference between data analytics and data science


Data analytics focuses on descriptive analysis, while data science focuses o
prescriptive analysis.
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 reasoning.


,WGU D491 OA INTRODUCTION TO ANALYTICS
LATEST OBJECTIVE ASSESSMENT PREP EXAM
WITH REAL EXAM QUESTIONS & 100 CORRECT
ANSWERS ALREADY GRADED A+ WGU D491 OA
ACTUAL EXAM (BRAND NEW!!)


Data science involves analyzing data from structured sources, while data
analytics involves analyzing data from unstructured sources. -
(ANSWERS)Data analytics is the process of analyzing data to extract
insights, while data science involves building and testing models to make
predictions.


Which type of data analytics project aims to determine why something happened in
the past?


Diagnostic
Descriptive
Predictive
Prescriptive - (ANSWERS)Descriptive


What are the different types of data analytics projects?Descriptive, diagnostic,
predictive, and prescriptive analytics


Data warehousing, data mining, data visualization, and business intelligence
Regression analysis, time series analysis, text analytics, and network analys


,WGU D491 OA INTRODUCTION TO ANALYTICS
LATEST OBJECTIVE ASSESSMENT PREP EXAM
WITH REAL EXAM QUESTIONS & 100 CORRECT
ANSWERS ALREADY GRADED A+ WGU D491 OA
ACTUAL EXAM (BRAND NEW!!)


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

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