WGU D491 Exam Latest Exam 2026 | Introduction
to Analytics Exam | Updated Version | All
Questions and Correct Answers
What are the six phases of the data analytics lifecycle? ---------CORRECT ANSWER--
---------------Discovery
Data preparation
Model planning
Model execution
Communicate results
Operationalization
Explain the purpose of the discovery phase. ---------CORRECT ANSWER----------------
-This phase focuses on investigating the issue, gaining a deeper understanding of
the context, learning about available data sources, and formulating initial ideas
that will be tested using data.
Explain the purpose of the data preparation phase. ---------CORRECT ANSWER------
-----------The primary purpose of the data preparation phase is to ensure that the
data is accurate, standardized, and adjusted as needed, which includes tasks like
cleaning, normalizing, and transforming data.
,Explain the purpose of the model planning phase. ---------CORRECT ANSWER--------
---------The model planning phase aims to determine the most suitable method for
the given problem and ensure that the chosen analytical techniques align with the
business objectives.
Explain the purpose of the model execution phase. ---------CORRECT ANSWER-------
----------In this stage, analysts focus on creating separate data subsets for training
and testing, fine-tuning the selected models to improve their performance, and
evaluating how well these models predict outcomes based on their validity and
predictive strength.
Explain the purpose of the communicate results phase. ---------CORRECT ANSWER-
----------------The purpose of the communicate results phase is to convey project
outcomes, findings, and other relevant information to stakeholders.
Explain the purpose of the operationalization phase. ---------CORRECT ANSWER-----
------------The operationalize phase tests the model in a controlled environment,
making necessary adjustments and integrating it into the organization's
processes.
Which project phase involves framing the business problem as an analytics
challenge and formulating initial hypotheses to test and explore the data? ---------
CORRECT ANSWER-----------------Discovery
,Which project phase requires the establishment of an analytic sandbox? ---------
CORRECT ANSWER-----------------Data preparation
During which project phase does the team explore data relationships, select key
variables, and identify the most suitable models for the project? ---------CORRECT
ANSWER-----------------Model planning
In which project phase does the team develop datasets for testing, training, and
production purposes? ---------CORRECT ANSWER-----------------Model execution
Which project phase involves determining the project's success or failure based
on the criteria developed in the discovery phase? ---------CORRECT ANSWER---------
--------Communicate results
In which project phase does the team delivers reports, briefings, code, and
technical documents? ---------CORRECT ANSWER-----------------Operationalization
What term refers to the arrangement and organization of data used in the
analysis process? ---------CORRECT ANSWER-----------------dataset structure
, What are the activities of the data modeling phase? ---------CORRECT ANSWER-----
------------partitioning the dataset into training, validation, and test sets
selecting relevant features for modeling
identifying candidate models and analysis techniques
What are the responsibilities of a database administrator? ---------CORRECT
ANSWER-----------------Database administrators ensure the project's data is
organized, secured, and easily accessible by designing, implementing, and
maintaining the project's database system.
Data analytics ---------CORRECT ANSWER-----------------Analyzing data to extract
insights and inform decision-making.
Includes using various techniques and tools to explore, clean, transform, and
model data and visualize and communicate findings.
Data science ---------CORRECT ANSWER-----------------A multidisciplinary field
involving various statistical, mathematical, and computational methods to extract
meaningful insights and knowledge from data.
What is the difference between data analytics and data science? ---------CORRECT
ANSWER-----------------Data analytics is the process of analyzing data to extract
insights, while data science involves building and testing models to make
predictions.
to Analytics Exam | Updated Version | All
Questions and Correct Answers
What are the six phases of the data analytics lifecycle? ---------CORRECT ANSWER--
---------------Discovery
Data preparation
Model planning
Model execution
Communicate results
Operationalization
Explain the purpose of the discovery phase. ---------CORRECT ANSWER----------------
-This phase focuses on investigating the issue, gaining a deeper understanding of
the context, learning about available data sources, and formulating initial ideas
that will be tested using data.
Explain the purpose of the data preparation phase. ---------CORRECT ANSWER------
-----------The primary purpose of the data preparation phase is to ensure that the
data is accurate, standardized, and adjusted as needed, which includes tasks like
cleaning, normalizing, and transforming data.
,Explain the purpose of the model planning phase. ---------CORRECT ANSWER--------
---------The model planning phase aims to determine the most suitable method for
the given problem and ensure that the chosen analytical techniques align with the
business objectives.
Explain the purpose of the model execution phase. ---------CORRECT ANSWER-------
----------In this stage, analysts focus on creating separate data subsets for training
and testing, fine-tuning the selected models to improve their performance, and
evaluating how well these models predict outcomes based on their validity and
predictive strength.
Explain the purpose of the communicate results phase. ---------CORRECT ANSWER-
----------------The purpose of the communicate results phase is to convey project
outcomes, findings, and other relevant information to stakeholders.
Explain the purpose of the operationalization phase. ---------CORRECT ANSWER-----
------------The operationalize phase tests the model in a controlled environment,
making necessary adjustments and integrating it into the organization's
processes.
Which project phase involves framing the business problem as an analytics
challenge and formulating initial hypotheses to test and explore the data? ---------
CORRECT ANSWER-----------------Discovery
,Which project phase requires the establishment of an analytic sandbox? ---------
CORRECT ANSWER-----------------Data preparation
During which project phase does the team explore data relationships, select key
variables, and identify the most suitable models for the project? ---------CORRECT
ANSWER-----------------Model planning
In which project phase does the team develop datasets for testing, training, and
production purposes? ---------CORRECT ANSWER-----------------Model execution
Which project phase involves determining the project's success or failure based
on the criteria developed in the discovery phase? ---------CORRECT ANSWER---------
--------Communicate results
In which project phase does the team delivers reports, briefings, code, and
technical documents? ---------CORRECT ANSWER-----------------Operationalization
What term refers to the arrangement and organization of data used in the
analysis process? ---------CORRECT ANSWER-----------------dataset structure
, What are the activities of the data modeling phase? ---------CORRECT ANSWER-----
------------partitioning the dataset into training, validation, and test sets
selecting relevant features for modeling
identifying candidate models and analysis techniques
What are the responsibilities of a database administrator? ---------CORRECT
ANSWER-----------------Database administrators ensure the project's data is
organized, secured, and easily accessible by designing, implementing, and
maintaining the project's database system.
Data analytics ---------CORRECT ANSWER-----------------Analyzing data to extract
insights and inform decision-making.
Includes using various techniques and tools to explore, clean, transform, and
model data and visualize and communicate findings.
Data science ---------CORRECT ANSWER-----------------A multidisciplinary field
involving various statistical, mathematical, and computational methods to extract
meaningful insights and knowledge from data.
What is the difference between data analytics and data science? ---------CORRECT
ANSWER-----------------Data analytics is the process of analyzing data to extract
insights, while data science involves building and testing models to make
predictions.
