1|Page
WGU D204 OBJECTIVE ASSESSMENT AND PRE ASSESSMENT
NEWEST 2026 TEST BANK| D204 THE DATA ANALYTICS
JOURNEY OA & PA EXAM WITH COMPLETE 400 REAL EXAM
QUESTIONS AND CORRECT VERIFIED ANSWERS/ ALREADY
GRADED A+ (MOST RECENT!!)
Which of these is NOT a topic of interest for
Discovery/Planning/Business Understanding?
A. Project Scope
B. Identify stakeholders and research questions/KPIs
C. Build a data pipeline (ETL)
D. Identify timeline, budget, and participants ......ANSWER......C
What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models
due to excessive variability. ......ANSWER......A
In what phase does the analyst identify the stake holders and research
questions? ......ANSWER......Business Understanding/Planning/Discovery
In what phase does the analyst deal with the following:
,2|Page
Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source
......ANSWER......Data acquisition
In what phase does the analyst deal with the following:
Fixing improperly formatted values
Dealing with duplicates, missing data, and outliers
Data reduction ......ANSWER......Data
cleaning/wrangling/scrubbing/munging
In what phase does the analyst deal with the following:
Central Tendency/ Measures of center (e.g., mean, median, mode),
variability (e.g., standard deviations and quartiles) and distributions
(e.g., normal, skewed, etc)
Identify basic correlations between variables
Pattern discovery ......ANSWER......Data exploration/Exploratory Data
Analysis(EDA)/Descriptive Statistics
,3|Page
In what phase does the analyst deal with the following:
Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy.
......ANSWER......Predictive Modeling/Data Modeling/Correlation based
models/Regression models/Time Series
In what phase does the analyst deal with the following:
Creating training and testing datasets to build models from
Identify/detect patterns
Determine if groups (clusters) exist in data
Classify data into groups
Create models that "learn" and improve (e.g., machine/deep learning,
AI, etc) ......ANSWER......Data Mining/Machine Learning/AI/Supervised,
Unsupervised Models
In what phase does the analyst deal with the following:
Tell a story with data
Provide a summary of analytic analysis
, 4|Page
Provide insights to stakeholders
Create insightful graphs that showcase trends and forecasts
......ANSWER......Reporting and visualization/Dashboards
What is a potential problem in the data acquisition/query/collection
step? ......ANSWER......Quality and type of data may make access more
difficult
What are two potential problems in the Data Cleaning/Wrangling step?
......ANSWER......Some cleaning techniques could dramatically change
data/outcomes
Outliers not dealt with can cause problems with statistical models due
to excessive variability.
What is a potential problem in the data exploration/descriptive
statistics step? ......ANSWER......Skipping this step could enable faulty
perceptions of the data which hurt advanced analytics.
What are potential problems in the Predictive Modeling step?
......ANSWER......Too many input variables (predictors) can cause
problems
Correlation does not imply causation.
WGU D204 OBJECTIVE ASSESSMENT AND PRE ASSESSMENT
NEWEST 2026 TEST BANK| D204 THE DATA ANALYTICS
JOURNEY OA & PA EXAM WITH COMPLETE 400 REAL EXAM
QUESTIONS AND CORRECT VERIFIED ANSWERS/ ALREADY
GRADED A+ (MOST RECENT!!)
Which of these is NOT a topic of interest for
Discovery/Planning/Business Understanding?
A. Project Scope
B. Identify stakeholders and research questions/KPIs
C. Build a data pipeline (ETL)
D. Identify timeline, budget, and participants ......ANSWER......C
What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models
due to excessive variability. ......ANSWER......A
In what phase does the analyst identify the stake holders and research
questions? ......ANSWER......Business Understanding/Planning/Discovery
In what phase does the analyst deal with the following:
,2|Page
Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source
......ANSWER......Data acquisition
In what phase does the analyst deal with the following:
Fixing improperly formatted values
Dealing with duplicates, missing data, and outliers
Data reduction ......ANSWER......Data
cleaning/wrangling/scrubbing/munging
In what phase does the analyst deal with the following:
Central Tendency/ Measures of center (e.g., mean, median, mode),
variability (e.g., standard deviations and quartiles) and distributions
(e.g., normal, skewed, etc)
Identify basic correlations between variables
Pattern discovery ......ANSWER......Data exploration/Exploratory Data
Analysis(EDA)/Descriptive Statistics
,3|Page
In what phase does the analyst deal with the following:
Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy.
......ANSWER......Predictive Modeling/Data Modeling/Correlation based
models/Regression models/Time Series
In what phase does the analyst deal with the following:
Creating training and testing datasets to build models from
Identify/detect patterns
Determine if groups (clusters) exist in data
Classify data into groups
Create models that "learn" and improve (e.g., machine/deep learning,
AI, etc) ......ANSWER......Data Mining/Machine Learning/AI/Supervised,
Unsupervised Models
In what phase does the analyst deal with the following:
Tell a story with data
Provide a summary of analytic analysis
, 4|Page
Provide insights to stakeholders
Create insightful graphs that showcase trends and forecasts
......ANSWER......Reporting and visualization/Dashboards
What is a potential problem in the data acquisition/query/collection
step? ......ANSWER......Quality and type of data may make access more
difficult
What are two potential problems in the Data Cleaning/Wrangling step?
......ANSWER......Some cleaning techniques could dramatically change
data/outcomes
Outliers not dealt with can cause problems with statistical models due
to excessive variability.
What is a potential problem in the data exploration/descriptive
statistics step? ......ANSWER......Skipping this step could enable faulty
perceptions of the data which hurt advanced analytics.
What are potential problems in the Predictive Modeling step?
......ANSWER......Too many input variables (predictors) can cause
problems
Correlation does not imply causation.
