WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
WGU D491 INTRODUCTION TO ANALYTICS OBJECTIVE ASSESSMENT
FINAL EXAM VERSION 2 ACTUAL EXAM NEWEST 2025/2026 WITH
COMPLETE QUESTIONS AND CORRECT ANSWERS |ALREADY GRADED
A+||BRAND NEW VERSION!
A person has been assigned to manage a project to implement a company-wide
customer relationship management (CRM) system. The CRM system aims to
centralize customer details, automate sales processes, and improve customer
service. What skills are crucial for the project team members working on the
CRM system implementation?
Data analysis, system integration, and training
Graphic design, social media marketing, and content creation
Financial forecasting, budgeting, and cost analysis
Network troubleshooting, hardware maintenance, and software installation
Data analysis, system integration, and training
Why is formulating an initial hypothesis an integral part of the discovery phase
of the data analytics lifecycle?
It guarantees accurate predictions and outcomes from the data.
It guides the subsequent data collection, processing, and analysis activities.
It guarantees that the final results will support the initial hypothesis.
It allows the team to use specific algorithms for analysis.
It guides the subsequent data collection, processing, and analysis activities.
Who should be included as stakeholders in an analytics project?
Anyone who will benefit from the project
Anyone who has relevant skills
1|Page
, WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
Anyone who is available to participate
Anyone who is a manager in the organization
Anyone who will benefit from the project
Who offers suggestions on ideas to test as the team formulates hypotheses
during the discovery phase of a data analytics project?
Data scientists
Data visualization specialists
Project managers
Marketing experts
Data scientists
Which common data cleaning task is used to address the missing data in a data
set?
Normalization
Handling outliers
Data transformation
Imputation
Imputation
Which task is typically performed to handle outliers during the data preparation
phase?
Normalization
Truncating extreme values
Data transformation
Missing data imputation
2|Page
, WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
Truncating extreme values
A data analyst at a retail company is provided with a large dataset containing
sales transactions, customer information, and product details. The analyst is
tasked with preparing the data for analysis and modeling. Which activity would
the analyst perform during the data preparation phase?
Exploring available data to understand its characteristics and suitability
Identifying the business problem or research question that needs to be addressed
Developing initial hypotheses about the relationship between data variables
Allocating computing resources for the data analysis
Exploring available data to understand its characteristics and suitability
Which activity is performed during the model planning phase of a data analysis
project?
Building the final predictive model
Selecting relevant features for modeling
Generating synthetic data for model training
Conducting hypothesis testing on the modeling data
Selecting relevant features for modeling
Which programming language is primarily used for statistical analysis and data
manipulation in the model planning phase?
Ruby
R
Swift
MATLAB
R
3|Page
, WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
Which classification model is based on the concept of probability and assigns
class labels to instances based on the possibility of belonging to a particular
class?
Naive Bayes
Support vector machines (SVM)
Decision tree
Random forest
Naive Bayes
Which tool is used to connect users to relational databases and data warehouse
appliances in the model planning phase?
SAS Enterprise Miner
SPSS Modeler
Alpine Miner
SAS/ACCESS
SAS/ACCESS
Which regression model is commonly used for predicting a continuous
numerical outcome based on a set of input features?
Polynomial regression
Random forest regression
Logistic regression
Linear regression
Linear regression
Which phase of the data analytics life cycle involves running analytical software
packages on small datasets to test and refine models?
4|Page
Version 2
WGU D491 INTRODUCTION TO ANALYTICS OBJECTIVE ASSESSMENT
FINAL EXAM VERSION 2 ACTUAL EXAM NEWEST 2025/2026 WITH
COMPLETE QUESTIONS AND CORRECT ANSWERS |ALREADY GRADED
A+||BRAND NEW VERSION!
A person has been assigned to manage a project to implement a company-wide
customer relationship management (CRM) system. The CRM system aims to
centralize customer details, automate sales processes, and improve customer
service. What skills are crucial for the project team members working on the
CRM system implementation?
Data analysis, system integration, and training
Graphic design, social media marketing, and content creation
Financial forecasting, budgeting, and cost analysis
Network troubleshooting, hardware maintenance, and software installation
Data analysis, system integration, and training
Why is formulating an initial hypothesis an integral part of the discovery phase
of the data analytics lifecycle?
It guarantees accurate predictions and outcomes from the data.
It guides the subsequent data collection, processing, and analysis activities.
It guarantees that the final results will support the initial hypothesis.
It allows the team to use specific algorithms for analysis.
It guides the subsequent data collection, processing, and analysis activities.
Who should be included as stakeholders in an analytics project?
Anyone who will benefit from the project
Anyone who has relevant skills
1|Page
, WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
Anyone who is available to participate
Anyone who is a manager in the organization
Anyone who will benefit from the project
Who offers suggestions on ideas to test as the team formulates hypotheses
during the discovery phase of a data analytics project?
Data scientists
Data visualization specialists
Project managers
Marketing experts
Data scientists
Which common data cleaning task is used to address the missing data in a data
set?
Normalization
Handling outliers
Data transformation
Imputation
Imputation
Which task is typically performed to handle outliers during the data preparation
phase?
Normalization
Truncating extreme values
Data transformation
Missing data imputation
2|Page
, WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
Truncating extreme values
A data analyst at a retail company is provided with a large dataset containing
sales transactions, customer information, and product details. The analyst is
tasked with preparing the data for analysis and modeling. Which activity would
the analyst perform during the data preparation phase?
Exploring available data to understand its characteristics and suitability
Identifying the business problem or research question that needs to be addressed
Developing initial hypotheses about the relationship between data variables
Allocating computing resources for the data analysis
Exploring available data to understand its characteristics and suitability
Which activity is performed during the model planning phase of a data analysis
project?
Building the final predictive model
Selecting relevant features for modeling
Generating synthetic data for model training
Conducting hypothesis testing on the modeling data
Selecting relevant features for modeling
Which programming language is primarily used for statistical analysis and data
manipulation in the model planning phase?
Ruby
R
Swift
MATLAB
R
3|Page
, WGU D491 Introduction To Analytics Objective Assessment Final Exam
Version 2
Which classification model is based on the concept of probability and assigns
class labels to instances based on the possibility of belonging to a particular
class?
Naive Bayes
Support vector machines (SVM)
Decision tree
Random forest
Naive Bayes
Which tool is used to connect users to relational databases and data warehouse
appliances in the model planning phase?
SAS Enterprise Miner
SPSS Modeler
Alpine Miner
SAS/ACCESS
SAS/ACCESS
Which regression model is commonly used for predicting a continuous
numerical outcome based on a set of input features?
Polynomial regression
Random forest regression
Logistic regression
Linear regression
Linear regression
Which phase of the data analytics life cycle involves running analytical software
packages on small datasets to test and refine models?
4|Page
