WGU D204 EXAM PAPER 2026 VERIFIED
QUESTIONS AND ANSWERS 100% CORRECT
⩥ When does an Analyst define the major questions of interest that need
to be answered, determines the needs of the stake holders and assesses
the resource constraints of the project? Answer: Business Understanding
⩥ Which Data Analytics Life Cycle phase uses these tools: Scope
Statement, Stakeholder Register, Gannt Chart, and Network Diagram
Answer: Business understanding
⩥ Lack of clear focus on the stakeholders, timeline, limitations and
budget could potentially derail an analysis in with phase of the data
analytics life cycle Answer: Business Understanding
⩥ Which phase of the data analytics life cycle is where data is collected
and stored for easy retrieval from a database, perhaps a component of a
data warehouse, by using a language like SQL Answer: Data Acquisition
⩥ Which Data Analytics Life Cycle phase uses these tools: SQL, Web
Scrapping Software, Survey, Input Data and NoSQL Answer: Data
Acquisition
,⩥ What are some potential problems in the data acquisitions phase
Answer: Missing values not being detected, the quality of data, type of
data and the access to data
⩥ Data Cleaning phase is also known as... Answer: Data Cleansing, Data
Wrangling, Data Munging and Feature Engineering
⩥ When will the analyst use SQL, Python, R or Excel to perform data
modifications and transformations Answer: Data Cleaning
⩥ Which Data Analytics Life Cycle phase uses these tools: Python, R,
SQL and Excel Answer: Data Cleaning
⩥ When can some cleaning techniques that could dramatically change
data/outcomes become a potential problem in the Data Analytics Life
Cycle Answer: Data Cleaning
⩥ When outliers that are not dealt with, cause problems with statistical
models due to excessive variability, when can this pose a potential
problem Answer: Data Cleaning
⩥ When does an analyst start to understand the basic nature of the data,
the relationships within it, the structure of the dataset, the presence of
outliers and the distribution of data values Answer: Data Exploration
, ⩥ Which Data Analytics Life Cycle phase uses these tools:
Distributions, visualization tools and statistical tools (mean, median,
mode) Answer: Data Exploration
⩥ Skipping which data analytics life cycle step could cause: faulty
perceptions of the data which hurt advances analytics and analyst will
lack the insight into the structure of the data set Answer: Data
Exploration
⩥ Which data analytics life cycle phase allows the analyst to move
beyond describing the data to creating models that enable predictions of
outcomes of interest Answer: Predictive Modeling
⩥ Which Data Analytics Life Cycle phase uses these tools: Python and
R Answer: Predictive Modeling & Data Mining
⩥ Too many input variables can cause problems, correlation does not
imply causation and time series model often need sufficient time data to
offer precise trend information; these are potential problems from which
did data analytics life cycle phase Answer: Predictive Modeling
⩥ Which data analytics life cycle phase looks for patterns and
correlations in large sets of data Answer: Data Mining
⩥ Data Mining is also known as... Answer: Machine Learning
QUESTIONS AND ANSWERS 100% CORRECT
⩥ When does an Analyst define the major questions of interest that need
to be answered, determines the needs of the stake holders and assesses
the resource constraints of the project? Answer: Business Understanding
⩥ Which Data Analytics Life Cycle phase uses these tools: Scope
Statement, Stakeholder Register, Gannt Chart, and Network Diagram
Answer: Business understanding
⩥ Lack of clear focus on the stakeholders, timeline, limitations and
budget could potentially derail an analysis in with phase of the data
analytics life cycle Answer: Business Understanding
⩥ Which phase of the data analytics life cycle is where data is collected
and stored for easy retrieval from a database, perhaps a component of a
data warehouse, by using a language like SQL Answer: Data Acquisition
⩥ Which Data Analytics Life Cycle phase uses these tools: SQL, Web
Scrapping Software, Survey, Input Data and NoSQL Answer: Data
Acquisition
,⩥ What are some potential problems in the data acquisitions phase
Answer: Missing values not being detected, the quality of data, type of
data and the access to data
⩥ Data Cleaning phase is also known as... Answer: Data Cleansing, Data
Wrangling, Data Munging and Feature Engineering
⩥ When will the analyst use SQL, Python, R or Excel to perform data
modifications and transformations Answer: Data Cleaning
⩥ Which Data Analytics Life Cycle phase uses these tools: Python, R,
SQL and Excel Answer: Data Cleaning
⩥ When can some cleaning techniques that could dramatically change
data/outcomes become a potential problem in the Data Analytics Life
Cycle Answer: Data Cleaning
⩥ When outliers that are not dealt with, cause problems with statistical
models due to excessive variability, when can this pose a potential
problem Answer: Data Cleaning
⩥ When does an analyst start to understand the basic nature of the data,
the relationships within it, the structure of the dataset, the presence of
outliers and the distribution of data values Answer: Data Exploration
, ⩥ Which Data Analytics Life Cycle phase uses these tools:
Distributions, visualization tools and statistical tools (mean, median,
mode) Answer: Data Exploration
⩥ Skipping which data analytics life cycle step could cause: faulty
perceptions of the data which hurt advances analytics and analyst will
lack the insight into the structure of the data set Answer: Data
Exploration
⩥ Which data analytics life cycle phase allows the analyst to move
beyond describing the data to creating models that enable predictions of
outcomes of interest Answer: Predictive Modeling
⩥ Which Data Analytics Life Cycle phase uses these tools: Python and
R Answer: Predictive Modeling & Data Mining
⩥ Too many input variables can cause problems, correlation does not
imply causation and time series model often need sufficient time data to
offer precise trend information; these are potential problems from which
did data analytics life cycle phase Answer: Predictive Modeling
⩥ Which data analytics life cycle phase looks for patterns and
correlations in large sets of data Answer: Data Mining
⩥ Data Mining is also known as... Answer: Machine Learning
