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WGU D204 Data Analytics Exam 2024: Practice Questions with Verified Answers | Best Study Material
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WGU D204 Data Analytics Exam 2024: Practice Questions with Verified Answers | Best Study Material
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D204 Data Analytics exam 2024PRACTICE QUESTIONS WITH VERIFIED
ANSWERS BEST STUDYING MATERIAL.
Verification through Visualization
- Ans - What aspect of data exploration occurs when an analyst compiles a bar chart
that describes dog food sales per month?
Predictive Analysis
- Ans - During which phase of the Data Analytics Life Cycle would a Churn Analysis be
performed?
Model developed before research question is known
- Ans - Which mistake is commonly made during the predictive analytics phase?
Too little data for training and testing data sets - Ans - During Data Mining, why might
an analyst resample a data set with replacement data?
Data Mining
- Ans - A data analyst has identified sales transactions that frequently occurred together
over the past 5 years. What part of the data analytics cycle would this occur in?
Data Mining - Ans - An analyst realizes that the data set has been reduced significantly.
What part of the data analytics life cycle would this occur?
Unrelated data
- Ans - What should you make sure you exclude during the reporting phase?
Maintain Data on the IT Infrastructure
- Ans - What is a common duty of a database administrator?
Minimum time to complete dependent tasks
- Ans - What does the Critical Path represent in the project?
Identify Project Goals - Ans - What is the first task to complete during the discovery
phase?
Descriptive Analytics
- Ans - Explain why web traffic has increased 60%?
Predictive Analytics - Ans - What is the expected sales forecast for 2021?
Prescriptive
,- Ans - How can we increase our sales by 20% in 2021?
Descriptive - Ans - A travel website tabulated the results of their latest marketing
campaign to understand the relationship between sales to clicks. What type of project is
this?
Qualitative data - Ans - What type of data are open-ended responses from customers?
GDPR - Ans - What law prevents companies from collecting information on EU
consumers without permission?
Privacy
- Ans - A consumer sues a company for leaking data about their spending habits.
Conflict of Interest - Ans - An analyst excludes data in a data set that would make the
bank look bad.
Conflict of interest
- Ans - A company ignores research on a less expensive alternative in order to make
higher profits.
Data Democratization - Ans - What do open-source software tools and widely available
analysis tools, such as spreadsheets, help accomplish?
SQL
- Ans - Used with structured and unstructured data, and the basic language is the same
across the database servers
R - Ans - Which tool should a researcher use to conduct a univariate analysis on
complex statistical data?
Hypothesis
- Ans - Which statistical technique should be used to draw conclusions about an entire
population based on a representative sample?
Regression
- Ans - Which type of analysis would be used to predict a binary outcome based on a
set of independent variables?
Optimization
- Ans - Which type of data analysis is appropriate if the goal is to minimize the cost of a
diet, using a data set consisting of the following variables: protein content, fat content,
and cost per unit?
Bayes Theorem - Ans - Which technique can be used to determine the likelihood that a
positive diagnostic test result indicates whether the disease is actually present?
,Practical and Controllable
- Ans - Which concept should be considered when choosing variables for inclusion in a
linear regression model?
The way the human brain operates
- Ans - A neural network algorithm in machine learning endeavors to recognize
underlying relationships in a set of data. What does this process mimic?
Distance and Similarity - Ans - Which characteristics are used to group data together in
a cluster analysis? (Quantity 2?)
Python - Ans - Which tool has libraries that expand its visualization capabilities?
Tableau and R
- Ans - Which tools can be used for performing statistics and creating interactive data
visualization for large datasets from various sources? (Quantity 2)
Pie Chart - Ans - Which type of data representation should a data analyst use to display
expense categories as a percentage of total business expenses?
Descriptive
- Ans - What were our sales last quarter?
Descriptive
- Ans - Which product had the most defects?
Unicorn - Ans - A full stack data scientist that can do everything at a professional level
Manager
- Ans - In a data science team, who is the person who generally frames the business-
relevant questions and solutions?
Wrangling - Ans - Getting data, cleaning data, exploring data, and refining data.
Predictive Analytics
- Ans - Predictions involving large data sets and sophisticated algorithms like neural
networks
Availability of labeled data, computing power, and inflexibility of the rules based systems
- Ans - What has been the reason that neural networks are more prevalent?
General Purpose Thinking Machine - Ans - What does general AI attempt to build?
Specific tasks such as translating a language
- Ans - What does narrow AI focus on?
, GDPR includes "right to explanation" which might be difficult to meet - Ans - How does
the GDPR impact neural networks?
Data Science without Big Data
- Ans - What is data visualization an example of?
Quasi-Experiment, What-if, and Optimization
- Ans - What are methods for identifying Cause/Effect relationships in data? (Qty 3)
Prescriptive Analytics - Ans - Identifying Cause/Effect Relationships in Data
Recommendations
- Ans - Shopping, News, Maps
Human in the Loop
- Ans - Self Driving Cars, Medical Procedures, etc.
Human Accessible
- Ans - Home Loan Approval, Credit Card Approval, etc.
Machine Centric
- Ans - Machines talking to other Machines, Smart Grid, etc.
Open Data
- Ans - Data that is free to use with no cost or restrictions
Informed Consent
- Ans - Participants should be given enough information about goals, methods, and
applications of the research.
Self-Generated Data
- Ans - Programming computers to engage with themselves to create their own training
data
Generalizable Data - Ans - What is representative data?
Data Scraping
- Ans - Extracting data from formats that were not specifically designed for sharing?
Open and Proprietary - Ans - What kind of data can be accessed by API's?
Tidy Data
- Ans - Columns are variables, rows are cases, and each file consists of one sheet at
one level of observation.
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