WGU D491 CERTIFICATION SCRIPT 2026
QUESTIONS WITH SOLUTIONS GRADED A+
◍ What is time series analysis?.
Answer: Time Series Analysis: A technique for analyzing time-ordered data
points to identify trends or patterns.
◍ What is a histogram?.
Answer: Histogram: A graphical representation of the distribution of
numerical data using bars.
◍ What does deduplication refer to in data preparation?.
Answer: Deduplication: The process of removing duplicate records from a
dataset to ensure data accuracy.
◍ What is the role of a data scientist?.
Answer: Data Scientist: A professional who uses statistical methods and
algorithms to analyze and interpret complex data.
◍ Which activity should the data analytics team focus on during the
communicate results phase.
Answer: Presenting key findings to stakeholders and evaluating the project's
success
◍ What is the operationalize phase in data analytics?.
Answer: Operationalize Phase: The stage where analytical insights are
integrated into business processes for implementation.
◍ What is a scatter plot?.
Answer: Scatter Plot: A graphical representation showing the relationship
between two quantitative variables.
◍ Which programming language is primarily used for statistical analysis and
data manipulation in the model planning phase?.
, Answer: R
◍ How do stakeholders interact with data analytics projects?.
Answer: By providing input throughout the project lifecycle
◍ What is imputation in data preparation?.
Answer: Imputation: The method of replacing missing values in a dataset
with substituted values.
◍ What is Tableau?.
Answer: Tableau: A data visualization tool that helps users create interactive
and shareable dashboards.
◍ What are association rules?.
Answer: Association Rules: Techniques used to discover interesting
relationships between variables in large datasets.
◍ What does truncation mean in data preparation?.
Answer: Truncation: The process of shortening data entries to fit within
specified limits.
◍ What is the difference between exploratory and confirmatory data analytics
projects?.
Answer: Exploratory projects involve testing hypotheses and finding
patterns in data, while confirmatory projects involve verifying existing
hypotheses.
◍ Which sequence of steps should you follow during the data preparation
phase?.
Answer: Set up sandbox, extract and transform data, condition data, explore
visually
◍ What is the fourth phase of the data analytics lifecycle?.
Answer: Model Execution: This phase involves running the selected models
on the prepared data.
◍ What is the second phase of the data analytics lifecycle?.
Answer: Data Preparation: This phase involves cleaning and organizing data
, for analysis.
◍ What is a business objective?.
Answer: Business Objective: A specific goal that an organization aims to
achieve through its operations.
◍ A data analyst works at an e-commerce company that wants to understand
its customer churn rate. Their manager has tasked them with conducting a
data analytics project to identify customers at risk of churn and offer these
customers targeted promotions to retain their business.What is the primary
purpose of the data analytics project's results in this scenario?.
Answer: To predict customer churn risk
◍ A retail company wants to improve customer satisfaction by understanding
the factors that influence customer loyalty. The company has collected
customer feedback data from different sources, such as online surveys,
social media platforms, and customer support calls. Which data analytic
technique should be used to identify the factors influencing customer loyalty
based on the collected customer feedback data?.
Answer: Text analysis
◍ What role does a project manager play within a data analytics project?.
Answer: Oversee the project team and ensure the project is completed on
time and within budget
◍ A data analyst is planning a new analytics project for a toy manufacturing
company. Customer survey data is provided.Which question should be
asked regarding the sources or quality of the data?.
Answer: Was the survey sent to a random sample of customers?
◍ What should analysts do with the findings discovered during the
operationalize phase of a data analytics project?.
Answer: Modify reports and dashboards
◍ What is a primary responsibility of a machine learning engineer?.
Answer: Developing predictive models using machine learning algorithms
QUESTIONS WITH SOLUTIONS GRADED A+
◍ What is time series analysis?.
Answer: Time Series Analysis: A technique for analyzing time-ordered data
points to identify trends or patterns.
◍ What is a histogram?.
Answer: Histogram: A graphical representation of the distribution of
numerical data using bars.
◍ What does deduplication refer to in data preparation?.
Answer: Deduplication: The process of removing duplicate records from a
dataset to ensure data accuracy.
◍ What is the role of a data scientist?.
Answer: Data Scientist: A professional who uses statistical methods and
algorithms to analyze and interpret complex data.
◍ Which activity should the data analytics team focus on during the
communicate results phase.
Answer: Presenting key findings to stakeholders and evaluating the project's
success
◍ What is the operationalize phase in data analytics?.
Answer: Operationalize Phase: The stage where analytical insights are
integrated into business processes for implementation.
◍ What is a scatter plot?.
Answer: Scatter Plot: A graphical representation showing the relationship
between two quantitative variables.
◍ Which programming language is primarily used for statistical analysis and
data manipulation in the model planning phase?.
, Answer: R
◍ How do stakeholders interact with data analytics projects?.
Answer: By providing input throughout the project lifecycle
◍ What is imputation in data preparation?.
Answer: Imputation: The method of replacing missing values in a dataset
with substituted values.
◍ What is Tableau?.
Answer: Tableau: A data visualization tool that helps users create interactive
and shareable dashboards.
◍ What are association rules?.
Answer: Association Rules: Techniques used to discover interesting
relationships between variables in large datasets.
◍ What does truncation mean in data preparation?.
Answer: Truncation: The process of shortening data entries to fit within
specified limits.
◍ What is the difference between exploratory and confirmatory data analytics
projects?.
Answer: Exploratory projects involve testing hypotheses and finding
patterns in data, while confirmatory projects involve verifying existing
hypotheses.
◍ Which sequence of steps should you follow during the data preparation
phase?.
Answer: Set up sandbox, extract and transform data, condition data, explore
visually
◍ What is the fourth phase of the data analytics lifecycle?.
Answer: Model Execution: This phase involves running the selected models
on the prepared data.
◍ What is the second phase of the data analytics lifecycle?.
Answer: Data Preparation: This phase involves cleaning and organizing data
, for analysis.
◍ What is a business objective?.
Answer: Business Objective: A specific goal that an organization aims to
achieve through its operations.
◍ A data analyst works at an e-commerce company that wants to understand
its customer churn rate. Their manager has tasked them with conducting a
data analytics project to identify customers at risk of churn and offer these
customers targeted promotions to retain their business.What is the primary
purpose of the data analytics project's results in this scenario?.
Answer: To predict customer churn risk
◍ A retail company wants to improve customer satisfaction by understanding
the factors that influence customer loyalty. The company has collected
customer feedback data from different sources, such as online surveys,
social media platforms, and customer support calls. Which data analytic
technique should be used to identify the factors influencing customer loyalty
based on the collected customer feedback data?.
Answer: Text analysis
◍ What role does a project manager play within a data analytics project?.
Answer: Oversee the project team and ensure the project is completed on
time and within budget
◍ A data analyst is planning a new analytics project for a toy manufacturing
company. Customer survey data is provided.Which question should be
asked regarding the sources or quality of the data?.
Answer: Was the survey sent to a random sample of customers?
◍ What should analysts do with the findings discovered during the
operationalize phase of a data analytics project?.
Answer: Modify reports and dashboards
◍ What is a primary responsibility of a machine learning engineer?.
Answer: Developing predictive models using machine learning algorithms
