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Examen

WGU D204 – The Data Analytics Journey (Master of Data Analytics) – Questions and Answers 2026

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This document contains a complete set of questions and answers aligned with the 2026 version of WGU’s D204 “The Data Analytics Journey,” part of the Master of Data Analytics program. It covers core concepts such as analytics lifecycle stages, business understanding, data preparation, modeling techniques, evaluation, communication of insights, and ethical considerations. The material reflects the updated D204 curriculum and supports students preparing for assessments by offering clear, structured, and correct responses.

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Institución
WGU D204
Grado
WGU D204

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Subido en
5 de diciembre de 2025
Número de páginas
29
Escrito en
2025/2026
Tipo
Examen
Contiene
Preguntas y respuestas

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WGU D204: The Data Analytics
Journey(WGU Masters of Data
Analytics)Questions And Answers
2026
Data scientists are able to find ______, _________, and _____ in unstructured data.
- Answer order, meaning, and value

What is involved in the planning phase? - Answer 1. Defining goals
2. Organizing resources
3. Coordinate people
4. Schedule project

What is involved in the wrangling phase? - Answer 5. Get data
6. Clean data
7. Explore data
8. Refine data

What is involved in the Modeling phase? - Answer 9. Create model
10. Validate model
11. Evaluate model
12. Refine model

What is involved in the Applying phase? - Answer 13. Present model
14. Deploy model
15. Revisit model
16. Archive assets

____________________ are programming languages that are very frequently used
for data manipulation and modeling. - Answer Python or R

___________ are general-purpose languages that are used for the back end, the
foundational elementsterm-26 of data science, and they provide maximum speed. -
Answer C, and C++, and Java

____________________ is a language for working with relational databases to do
queries and data manipulation. - Answer SQL

What does SQL stand for? - Answer structured query language

This is where you actually create the statistical model and you do the linear
regression. You do the decision tree. You do the deep learning neural network. -
Answer Modeling

,These are the developers, and the system architects, the people who focus on the
hardware and the software that make data science possible - Answer Data
engineers

This is the phase of collecting data. - Answer Data acquisition

Which phase? - Working with stakeholders to help them ask better questions so that
both they and you understand the outcome. - Answer Discovery

What are the 4 parts of data analytics cycle? - Answer Planning, Wrangling,
Modeling and Applying

This phase is also known as the discovery phase. During this phase, an analyst
defines the major questions of interest that need to be answered, understand the
needs of the stakeholders, and assess the resource constraints in the project. -
Answer Business understanding

____________________ is the person who champions the vision of the project and
has the authority to allocate resources. - Answer The project sponsor

__________________ is responsible for making sure things get done on time and
within budget and removes roadblocks. - Answer Project manager

___________ is when new requirements are added to the project that increases the
time/resources needed to complete it. - Answer Scope creep

What are the 3 types of analysis? - Answer Descriptive, Predictive, Prescriptive

___________________________ describes the data that is present. Mean, Median,
Mode, counting things. How many of each size and color of shirt were sold in the last
month? Do we sell more shirts in the summer vs winter? - Answer Descriptive
analysis

____________________ makes predictions about future state of business.
Forecasting volumes for example. Based on last summer and winter, what will we
sell next year? - Answer Predictive analytics

_______________________ analysis with an end goal of making a
recommendation. What colors and sizes of shirts should we sell to maximize profits?
- Answer Prescriptive analytics

______________________ is just looking at any variable over time - Answer Time
series analysis

____________________ is a programing language that is specific to statistics. It
also has capabilities to visualize data. - Answer R

_______________ is a multipurpose programing language that has libraries that
extend its capabilities to do statistical analysis. - Answer Python

, ______________________ are platforms that specialize in visualization. This is
where you can make graphs and charts for presentations and data storytelling to
executive leaders. - Answer Tableau and Power BI

_______________________ are instant messaging platforms that facilitate in a
faster, but less formal, way than email. - Answer Teams, Slack

An European union law regulating their citizens must have informed consent and
ability to request or delete their own data that you collect. - Answer GDPR

When the researching organization consciously ignores data that calls their results
into question or only presents one side of the results that puts them in a positive
light. - Answer Conflict of interest

Sometimes data might not be available and the analyst will use tools such as web
scraping or surveys to acquire it during which phase? - Answer Data aquisition

The ____________ states that the sampling distribution of the sample means
approaches a normal distribution as the sample size gets larger (if you were to take
50 people out of that population and get the mean, then take another 50 random
people and get their mean age, and so forth, all of those means would follow the
normal distribution (bell curve)). - Answer Central Limit Theorem

In this phase, the analyst begins to understand the basic nature of data and the
relationships within it. This phase often relies on the use of data visualization tools
and numerical summaries, such as measures of central tendency and variability. -
Answer Data Exploration

__________________ enables an analyst to move beyond describing the data to
creating models that enable predicting outcomes of interest. - Answer Predictive
Modeling

Tools such as _______________ play an important role in automating the training
and using of models. - Answer Python and R

In this phase, an analyst tells the story of the data and uses graphs or interactive
dashboards to inform others of the findings from the analyses. - Answer Reporting
and Visualization

Even if you have a wide spread of a variable, let's say, age in a population, and you
take lots of sample groups, the mean age of those sample groups would tend to
have a normal distribution. - Answer Central Limit theorem

This is the phase of collecting data. Frequently, data will be retrieved from a
database, perhaps a component of a data warehouse, by using a language like SQL.
- Answer Data Acquisition

"Collect the data" is synonymous with ____________________ - Answer data
acquisition
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