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WGU D491 Introduction To Analytics Objective
Assessment Actual Exam Test Bank Newest
2025/2026 With 300+ Complete Questions And
Correct Answers |Already Graded A+||Brand
New Version!
During which phase does the team explore available data to understand
its characteristics and suitability? - ANSWER-Data preparation
A corporate information system a.k.a. data warehouse, is an example of
a __________. - ANSWER-data source
Name two common tools for data preparation. - ANSWER-OpenRefine -
free, open-source tool for working with messy data
Hadoop - can handle and combine massive, unstructured data feeds from
multiple sources
Alpine Miner - provides a graphical user interface (GUI) for creating
analytic workflows
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Data Wrangler - similar to OpenRefine, interactive tool for data cleaning
and transformation
What are the four steps of the data preparation phase? - ANSWER-set up
sandbox
extract and transform data
conditioning data
explore visually
What are ETL or ETLT processes, and in which project phase are they
done? - ANSWER-Data extraction, transformation, and loading (ETL)
processes are executed during the data preparation phase.
conditioning data - ANSWER-the process of cleaning data, normalizing
data sets, and performing data transformations.
Which common data cleaning task is used to address the missing data in
a data set? - ANSWER-Imputation
imputation - ANSWER-replacing missing data with an estimated value
based on other available information, after which the data set can be
analyzed using standard techniques for complete data.
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Which question should the analyst consider if the data contains a lot of
outliers? - ANSWER-What is the impact of the outliers on the analysis?
Which data visualization is most suitable for understanding the trend and
progression of a variable over time in the data preparation phase? -
ANSWER-line charts
normalization - ANSWER-the practice of organizing data entries to
ensure they appear similar across all fields and records, to achieve a
standardized data format across your entire system
corporate data warehouse - ANSWER-a centralized storage system for a
company's data that is often the ideal location for data mining tasks
data availability - ANSWER-the accessibility of data from various
sources like departmental databases, operational systems, or external
sources, which influences the selection process in the data preparation
phase
data cleaning - ANSWER-(a.k.a. data cleansing) refers to processes for
handling errors, missing data, and other problems in dirty data
data complexity - ANSWER-refers to the intricacy and structure of the
data, which affects the amount of data required for the analytics process
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What are the two qualitative (a.k.a. categorical) data types? - ANSWER-
nominal
ordinal
What are the two quantitative (a.k.a. numerical) data types? - ANSWER-
interval
ratio
What are some examples of nominal data? - ANSWER-names, colors,
zip codes, ID numbers
What are some examples of ordinal data? - ANSWER-academic grades,
quality scales, earthquake magnitudes
What kind of data categorizes information into distinct groups or labels
without any inherent order or hierarchy? - ANSWER-Nominal data
What kind of data categorizes information into groups that have a
specific, inherent order or ranking, although the intervals between
categories might not be consistent or known? - ANSWER-Ordinal data
What kind of type of data is used when there's a need to convey relative
positions or ranks? - ANSWER-Ordinal data
WGU D491 Introduction To Analytics Objective
Assessment Actual Exam Test Bank Newest
2025/2026 With 300+ Complete Questions And
Correct Answers |Already Graded A+||Brand
New Version!
During which phase does the team explore available data to understand
its characteristics and suitability? - ANSWER-Data preparation
A corporate information system a.k.a. data warehouse, is an example of
a __________. - ANSWER-data source
Name two common tools for data preparation. - ANSWER-OpenRefine -
free, open-source tool for working with messy data
Hadoop - can handle and combine massive, unstructured data feeds from
multiple sources
Alpine Miner - provides a graphical user interface (GUI) for creating
analytic workflows
,2|Page
Data Wrangler - similar to OpenRefine, interactive tool for data cleaning
and transformation
What are the four steps of the data preparation phase? - ANSWER-set up
sandbox
extract and transform data
conditioning data
explore visually
What are ETL or ETLT processes, and in which project phase are they
done? - ANSWER-Data extraction, transformation, and loading (ETL)
processes are executed during the data preparation phase.
conditioning data - ANSWER-the process of cleaning data, normalizing
data sets, and performing data transformations.
Which common data cleaning task is used to address the missing data in
a data set? - ANSWER-Imputation
imputation - ANSWER-replacing missing data with an estimated value
based on other available information, after which the data set can be
analyzed using standard techniques for complete data.
,3|Page
Which question should the analyst consider if the data contains a lot of
outliers? - ANSWER-What is the impact of the outliers on the analysis?
Which data visualization is most suitable for understanding the trend and
progression of a variable over time in the data preparation phase? -
ANSWER-line charts
normalization - ANSWER-the practice of organizing data entries to
ensure they appear similar across all fields and records, to achieve a
standardized data format across your entire system
corporate data warehouse - ANSWER-a centralized storage system for a
company's data that is often the ideal location for data mining tasks
data availability - ANSWER-the accessibility of data from various
sources like departmental databases, operational systems, or external
sources, which influences the selection process in the data preparation
phase
data cleaning - ANSWER-(a.k.a. data cleansing) refers to processes for
handling errors, missing data, and other problems in dirty data
data complexity - ANSWER-refers to the intricacy and structure of the
data, which affects the amount of data required for the analytics process
, 4|Page
What are the two qualitative (a.k.a. categorical) data types? - ANSWER-
nominal
ordinal
What are the two quantitative (a.k.a. numerical) data types? - ANSWER-
interval
ratio
What are some examples of nominal data? - ANSWER-names, colors,
zip codes, ID numbers
What are some examples of ordinal data? - ANSWER-academic grades,
quality scales, earthquake magnitudes
What kind of data categorizes information into distinct groups or labels
without any inherent order or hierarchy? - ANSWER-Nominal data
What kind of data categorizes information into groups that have a
specific, inherent order or ranking, although the intervals between
categories might not be consistent or known? - ANSWER-Ordinal data
What kind of type of data is used when there's a need to convey relative
positions or ranks? - ANSWER-Ordinal data
