WGU D491 ACTUAL EXAM PAPER 2026
QUESTIONS WITH ANSWERS GRADED A+
◍ Which data analytic technique is best suited for identifying outliers in a
dataset?Principal component analysis (PCA)Box plotLinear
regressionK-means clustering.
Answer: Box plotBox plot is the most effective technique for identifying
outliers in a dataset. It provides a visual representation of the distribution of
data and identifies any data points located outside the range of typical
values.
◍ 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..
Answer: It guides the subsequent data collection, processing, and analysis
activities.
◍ Which job position is primarily responsible for designing and constructing
data pipelines within the field of data analytics?Data analystData
scientistData administratorData engineer.
Answer: Data engineer
◍ Which task is commonly performed to identify and address data quality
issues during the data preparation phase?Performing data
deduplicationDeveloping data visualizationConducting data
profilingExecuting data integration.
Answer: Conducting data profiling
◍ Which project-related activity typically takes up the majority of a data
analyst's time?Data preparationData interpretationConducting A/B
, testingBuilding models.
Answer: Data preparation
◍ Which activity occurs during the data preparation phase of the data analytics
lifecycle?- Discovery of data- Modeling of data- Collection of data-
Understanding of data.
Answer: Understanding of data
◍ 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.
Answer: Naive Bayes
◍ Why is it significant to establish failure criteria for a data analytics project in
the discovery phase?It ensures that the project team will reach its goals.It
helps the team determine when it is best to accept the conclusions.It
provides a best-case scenario approach.It guides the team in identifying the
main objectives of the project..
Answer: It helps the team determine when it is best to accept the conclusions
◍ Which activity occurs during the data preparation phase of the data analytics
lifecycle?Discovery of dataModeling of dataCollection of
dataUnderstanding of data.
Answer: Understanding of data
◍ Which stakeholder is primarily responsible for ensuring the desired quality
of the project?Business intelligence analystsBusiness usersProject
managersProject sponsors.
Answer: Project managers
◍ Which skill must a business intelligence analyst possess to collect and
organize data?Data preparationData visualizationData modelingMachine
learning.
Answer: Data preparation
◍ Which stakeholder has access to essential tables or storage systems and
, guarantees the highest levels of security in the data repository?Data
analystData engineerData scientistDatabase administrator.
Answer: Database administrator
◍ Which stakeholder extracts and transforms data during the discovery
phase?Data engineerData scientistDatabase administratorBusiness
intelligence analyst.
Answer: Data engineer
◍ Logistic regression.
Answer: A statistical analysis which determines an individual's risk of the
outcome as a function of a risk factor. The outcome of interest has two
categories.
◍ Which group of stakeholders comprises the professionals, such as line
managers?Database administratorsData engineersProject sponsorsBusiness
users.
Answer: Business users
◍ Which skills are required by data scientists for converting unstructured data
to structured data in data analytics projects?Data visualization skillsData
wrangling skillsText mining skillsMachine learning skills.
Answer: Data wrangling skills
◍ 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 trainingGraphic design, social media marketing, and
content creationFinancial forecasting, budgeting, and cost analysisNetwork
troubleshooting, hardware maintenance, and software installation.
Answer: Data analysis, system integration, and training
◍ Which data visualization is most suitable for understanding the trend and
progression of a variable over time in the data preparation
, phase?HistogramsScatter plotsBox plotsLine charts.
Answer: Line charts
◍ What are the three characteristics of Big Data, and what are the main
considerations in processing Big Data?.
Answer: The three characteristics of big data are the three V's: volume,
variety, and velocity. Volume describes how Big Data can be billions of
rows and millions of columns. 'Variety' reflects how disparate the data
sources, format, and structure can be within BD. 'Velocity' speaks to how
quickly data may be ingested and how it begets real-time analysis. The main
considerations in processing Big Data is that it cannot be efficiently
analyzed using traditional databases or methods. Therefore, new tools and
technologies are required to store, manage, and realize its business benefits.
◍ Are association rules supervised or unsupervised?.
Answer: Unsupervised
◍ How are interesting rules identified? How are interesting rules distinguished
from coincidental rules?.
Answer: Rules Identified: Rules identified refer to patterns or relationships
discovered in data that are considered meaningful or interesting based on
specific criteria or objectives. These rules can be associations, correlations,
or patterns that provide insights or information about the data, the
underlying process, or the problem being studied.Coincidental Rules::
Coincidental rules, on the other hand, are patterns or relationships that
appear to be significant but are actually the result of random chance or noise
in the data. These rules do not represent genuine associations or meaningful
patterns and can mislead data analysts or researchers if not properly
distinguished from valid rules
◍ What is a skill required of a data engineer?Creating data
visualizationsMaintaining databasesTraining machine learning
modelsWriting programs that perform data analysis.
Answer: Maintaining databases
◍ In which phase would the team expect to invest most of the project time?
QUESTIONS WITH ANSWERS GRADED A+
◍ Which data analytic technique is best suited for identifying outliers in a
dataset?Principal component analysis (PCA)Box plotLinear
regressionK-means clustering.
Answer: Box plotBox plot is the most effective technique for identifying
outliers in a dataset. It provides a visual representation of the distribution of
data and identifies any data points located outside the range of typical
values.
◍ 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..
Answer: It guides the subsequent data collection, processing, and analysis
activities.
◍ Which job position is primarily responsible for designing and constructing
data pipelines within the field of data analytics?Data analystData
scientistData administratorData engineer.
Answer: Data engineer
◍ Which task is commonly performed to identify and address data quality
issues during the data preparation phase?Performing data
deduplicationDeveloping data visualizationConducting data
profilingExecuting data integration.
Answer: Conducting data profiling
◍ Which project-related activity typically takes up the majority of a data
analyst's time?Data preparationData interpretationConducting A/B
, testingBuilding models.
Answer: Data preparation
◍ Which activity occurs during the data preparation phase of the data analytics
lifecycle?- Discovery of data- Modeling of data- Collection of data-
Understanding of data.
Answer: Understanding of data
◍ 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.
Answer: Naive Bayes
◍ Why is it significant to establish failure criteria for a data analytics project in
the discovery phase?It ensures that the project team will reach its goals.It
helps the team determine when it is best to accept the conclusions.It
provides a best-case scenario approach.It guides the team in identifying the
main objectives of the project..
Answer: It helps the team determine when it is best to accept the conclusions
◍ Which activity occurs during the data preparation phase of the data analytics
lifecycle?Discovery of dataModeling of dataCollection of
dataUnderstanding of data.
Answer: Understanding of data
◍ Which stakeholder is primarily responsible for ensuring the desired quality
of the project?Business intelligence analystsBusiness usersProject
managersProject sponsors.
Answer: Project managers
◍ Which skill must a business intelligence analyst possess to collect and
organize data?Data preparationData visualizationData modelingMachine
learning.
Answer: Data preparation
◍ Which stakeholder has access to essential tables or storage systems and
, guarantees the highest levels of security in the data repository?Data
analystData engineerData scientistDatabase administrator.
Answer: Database administrator
◍ Which stakeholder extracts and transforms data during the discovery
phase?Data engineerData scientistDatabase administratorBusiness
intelligence analyst.
Answer: Data engineer
◍ Logistic regression.
Answer: A statistical analysis which determines an individual's risk of the
outcome as a function of a risk factor. The outcome of interest has two
categories.
◍ Which group of stakeholders comprises the professionals, such as line
managers?Database administratorsData engineersProject sponsorsBusiness
users.
Answer: Business users
◍ Which skills are required by data scientists for converting unstructured data
to structured data in data analytics projects?Data visualization skillsData
wrangling skillsText mining skillsMachine learning skills.
Answer: Data wrangling skills
◍ 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 trainingGraphic design, social media marketing, and
content creationFinancial forecasting, budgeting, and cost analysisNetwork
troubleshooting, hardware maintenance, and software installation.
Answer: Data analysis, system integration, and training
◍ Which data visualization is most suitable for understanding the trend and
progression of a variable over time in the data preparation
, phase?HistogramsScatter plotsBox plotsLine charts.
Answer: Line charts
◍ What are the three characteristics of Big Data, and what are the main
considerations in processing Big Data?.
Answer: The three characteristics of big data are the three V's: volume,
variety, and velocity. Volume describes how Big Data can be billions of
rows and millions of columns. 'Variety' reflects how disparate the data
sources, format, and structure can be within BD. 'Velocity' speaks to how
quickly data may be ingested and how it begets real-time analysis. The main
considerations in processing Big Data is that it cannot be efficiently
analyzed using traditional databases or methods. Therefore, new tools and
technologies are required to store, manage, and realize its business benefits.
◍ Are association rules supervised or unsupervised?.
Answer: Unsupervised
◍ How are interesting rules identified? How are interesting rules distinguished
from coincidental rules?.
Answer: Rules Identified: Rules identified refer to patterns or relationships
discovered in data that are considered meaningful or interesting based on
specific criteria or objectives. These rules can be associations, correlations,
or patterns that provide insights or information about the data, the
underlying process, or the problem being studied.Coincidental Rules::
Coincidental rules, on the other hand, are patterns or relationships that
appear to be significant but are actually the result of random chance or noise
in the data. These rules do not represent genuine associations or meaningful
patterns and can mislead data analysts or researchers if not properly
distinguished from valid rules
◍ What is a skill required of a data engineer?Creating data
visualizationsMaintaining databasesTraining machine learning
modelsWriting programs that perform data analysis.
Answer: Maintaining databases
◍ In which phase would the team expect to invest most of the project time?
