MY D204 WGU STUDY SET EXAM
2025/2026 QUESTIONS AND ANSWERS
100% PASS.
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 - ANS 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.
- ANS A
In what phase does the analyst identify the stake holders and research questions? -
ANS Business Understanding/Planning/Discovery
In what phase does the analyst deal with the following:
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
, 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 - ANS 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 - ANS 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 - ANS Data exploration/Exploratory Data Analysis(EDA)/Descriptive
Statistics
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. - ANS Predictive Modeling/Data
Modeling/Correlation based models/Regression models/Time Series
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
2025/2026 QUESTIONS AND ANSWERS
100% PASS.
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 - ANS 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.
- ANS A
In what phase does the analyst identify the stake holders and research questions? -
ANS Business Understanding/Planning/Discovery
In what phase does the analyst deal with the following:
1 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
, 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 - ANS 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 - ANS 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 - ANS Data exploration/Exploratory Data Analysis(EDA)/Descriptive
Statistics
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. - ANS Predictive Modeling/Data
Modeling/Correlation based models/Regression models/Time Series
2 @COPYRIGHT 2025/2026 ALLRIGHTS RESERVED.
