WGU D491 INTRODUCTION TO ANALYTICS OA EXAM LATEST 2024 WITH UPDATED QUESTIONS AND DETAILED CORRECT ANSWERS WITH RATIONALES (ALREADY GRADED A+)

WGU D491 INTRODUCTION TO
ANALYTICS OA EXAM LATEST 2024 WITH
UPDATED QUESTIONS AND DETAILED
CORRECT ANSWERS WITH RATIONALES
(ALREADY GRADED A+)
-Data science focuses on developing new algorithms and models, while
data analytics focuses on using existing models to analyze data. -
ANSWER-Data science focuses on developing new algorithms and
models, while data analytics focuses on using existing models to analyze
data. (Data science is more research-based, while data analytics is more
focused on the practical applications of data analytics.)
Which comparison describes the difference between data analytics and
data science?
-Data analytics focuses on statistics, and data science mainly focuses on
qualitative reasoning.
-Data science involves analyzing data from structured sources, while data
analytics involves analyzing data from unstructured sources.
-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 descriptive analysis, while data science focuses
on prescriptive analysis. - ANSWER-Data analytics is the process of
analyzing data to extract insights, while data science involves building and
testing models to make predictions. (Data analytics involves using
statistical and quantitative methods to analyze data to extract insights and
solve problems, while data science involves using machine learning and
statistical models to build predictive models and make decisions based on
data.)
Which type of data analytics project aims to determine why something
happened in the past?
-Prescriptive
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-Descriptive
-Predictive
-Diagnostic - ANSWER-Descriptive (Descriptive analytics focuses on
summarizing past events and understanding what happened.)
What are the different types of data analytics projects?
-Regression analysis, time series analysis, text analytics, and network
analysis
-Data warehousing, data mining, data visualization, and business
intelligence
-Descriptive, diagnostic, predictive, and prescriptive analytics
-Data collection, data cleaning, data transformation, and data visualization -
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 from a single source, while
confirmatory projects involve integrating data from multiple sources.
-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. - ANSWER-Exploratory
projects involve testing hypotheses and finding patterns in data, while
confirmatory projects involve verifying existing hypotheses. (Exploratory
data analytics projects are typically used when little is known about the
data or when researchers look for patterns or trends that may not have
been previously identified.)
What is Data analytics?
-The process of encrypting data to keep it secure
-The process of storing data in a secure location for future use
-The process of analyzing data to extract insights
-The process of collecting data from various sources - ANSWER-The
process of analyzing data to extract insights. (Data analytics involves
analyzing data to extract insights and inform decision-making. This includes
using various techniques and tools to explore, clean, transform, and model
data and visualize and communicate findings.)
What is data science?
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-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
-The practice of using statistical methods to extract insights from data -
ANSWER-The practice of using statistical methods to extract insights from
data. (Data science is a multidisciplinary field involving various statistical,
mathematical, and computati