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WGU D204 EXAM LATEST VERSION A AND PRACTICE TEST COMPLETE 300 QUESTIONS AND VERIFIED CORRECT ANSWERS JUST RELEASED. $20.99   Add to cart

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WGU D204 EXAM LATEST VERSION A AND PRACTICE TEST COMPLETE 300 QUESTIONS AND VERIFIED CORRECT ANSWERS JUST RELEASED.

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  • Course
  • WGU D204
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  • WGU D204

WGU D204 EXAM LATEST VERSION A AND PRACTICE TEST COMPLETE 300 QUESTIONS AND VERIFIED CORRECT ANSWERS JUST RELEASED.

Preview 4 out of 45  pages

  • September 5, 2024
  • 45
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • WGU D204
  • WGU D204
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Page 1 of 45




WGU D204 EXAM LATEST 2024-2025 VERSION A AND
PRACTICE TEST COMPLETE 300 QUESTIONS AND
VERIFIED CORRECT ANSWERS JUST RELEASED
WGU D204 EXAM LATEST 2024-2025 VERSION A
An analyst realizes that the data set has been reduced significantly, resulting in sample sizes
that are too small. In which phase of the data analytics life cycle did this likely occur?
a. Data exploration
b. Data modeling
c. Data mining
d. Data discovery
c. Data mining
What strategy will contribute to effective data representation and reporting?
a.Creating a new training data set
b.Selecting data for a prediction model
c.Excluding unrelated data
d.Extracting data from source repositories
c.Excluding unrelated data
What are two purposes of the reporting phase of the data analytics life cycle? Select two
answers:
a.Provide the conclusions from the analysis in an engaging manner
b.Provide a tool for decision-makers to import and analyze more data
c.Provide actionable insights that can inform decision-making
d.Provide an automated way for decision-makers to test their own models
a.Provide the conclusions from the analysis in an engaging manner

c.Provide actionable insights that can inform decision-making
A data analyst identified combinations of sales that frequently occur together in data over
the past 5 years. Which phase of the data analytics life cycle is represented by this analysis?
a.Data acquisition
b.Representation and reporting
c.Data mining
d.Predictive modeling


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c.Data mining
During which phase of the data analytics life cycle does an analyst create a story to report
data?
a.Data acquisition
b.Data mining
c.Data reporting
d.Data cleaning
c.Data reporting
What is a characteristic of active listening?
a.Active working on a task while listening to the speaker
b.Seeking to understand the speaker's emotions and intent
c.Focusing intently on the content of the message
d.Waiting patiently to share one's own thoughts
b.Seeking to understand the speaker's emotions and intent
What will be a consequence of poor attention to detail during the data exploration phase?
a.Not enough variables will be considered in the analysis.
b.The outcome of the analysis will be misaligned to business needs.
c.The analyst will lack insight into the structure of the data set.
d.The model will be built using the wrong data set.
c.The analyst will lack insight into the structure of the data set.
Data visualization can be considered an example of what?
a.data science without big data
b.Data science with big data
c.Both A and B
d.None of the above
a.data science without big data
What questions will data analytics consider improving 10% market share value to open new
store in a different location?
a. Get list of geographic areas
b. Reduce staff pay by 10%
c. Check compatible market value
d. None of the above
C Check compatible market value



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,Page 3 of 45




A data set has K variables, and the classifying method has the following steps:
compare levels on nearby data, assign a new case to a category of nearby beta, locate the
case in a k-dimensional space, in which order should the steps be applied
a. Assign compare locate
b. Compare assign locate
c. Locate compare assign
d. Locate assign compare
c. Locate compare assign
In which phase of the data analytics life cycle does an analyst build a graph?
a.Data exploration
b.Discovery
c.Predictive modeling
d.Data acquisition
a.Data exploration
An analyst applies a statistical formula to obtain the average temperature for a city over the
last 20 years. Which phase of the data analytics life cycle is represented by this activity?
a.Discovery
b.Exploration
c.Modeling
d.Reporting
b.Exploration
An analyst has been asked to define variables in a dataset that may contain missing values.
Which activity of the analytics life cycle is represented?
a.Data collection
b.Data cleaning
c.Transforming improperly text
d.Disqualifying data sources
b.Data cleaning
Which activity does an analyst perform in the discovery phase of the data analytics life cycle?
a.Collecting data
b.Cleaning data
c.Identifying outliers
d.Defining business goals
d.Defining business goals


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During which phase in the data analytics life cycle would a churn analysis be performed?
a.Data cleaning churn
b.Data acquisition
c.Predictive analysis
d.Representation and reporting
c.Predictive analysis
What might be developed by data analysts when acquiring data from a data warehouse?
a.The procedures for extracting files from the data warehouse
b.The procedures for updating tables in the data warehouse
c.Relational structures of tables
d.The SQL queries of data within the tables
d.The SQL queries of data within the tables
Which aspect of data exploration occurs when an analyst writes code to compile a bar graph
of dog food sales per month?
a. Performance of a correlation analysis
b. Analysis of data anomalies
c. Verification through visualization
d. Determination of variabilities
c. Verification through visualization
An oil company uses robots and sensors to detect how pipeline corrosion changes over time.
The collected data is then used in a predictive model that estimates when a pipe should be
replaced.
How does the predictive model serve this oil company?
a. To minimize interruptions from maintenance shutdowns
b. To minimize the need for workforce safety training
c. To improve compliance with pipeline construction standards
d. To improve compliance with pipeline disposal standards
a. To minimize interruptions from maintenance shutdowns
What is the necessary requirement when collecting data from different data sources
a.Data must be easy to understand
b.Data must have defined structure
c.Data must have great number of variable
d.Data must have features related to business goals
d.Data must have features related to business goals


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