Introduction to Analytics - D491 Questions
With Complete Solutions
A business seeks to increase profitability and
optimize inventory management. They decide to
carry out data analytics research to determine
which merchandise is selling quickly and which is
selling slowly. The research seeks to determine
whether there is a relationship between the kind of
merchandise and sales velocity.Which data is
required to answer the question for the data
analytics project in the scenario?
-Sales data categorized by customer segment
-Sales data categorized by region
-Sales data categorized by time period
-Sales data categorized by product Correct
Answers Sales data categorized by product
A car manufacturing company is looking to improve
its production by analyzing how factors such as
temperature, humidity, and machine performance
affect production efficiency. To identify the key
factor that affects efficiency the most, an analyst
uses the regression analysis technique.What
justifies the use of regression analysis for the given
task? Correct Answers Regression analysis is used
to analyze the relationship between one or more
independent variables and a dependent variable.
,A company in the renewable energy industry is
working on a data analytics project to identify
which areas are more likely to adopt solar power.
The data science team needs to gather relevant
data sources for this project.
Which data sources are most relevant for a
renewable energy company looking to identify
areas more likely to adopt solar power?
-Medical insurance claims data, survey response
data, and warranty claims data
-Web log data, e-commerce server application logs,
and call-center records -Point-of-sale data, credit
card charge records, and telephone call detail
records
-Census and economic data, hourly weather
readings, and demographic data Correct Answers
Census and economic data, hourly weather
readings, and demographic data (Census data,
economic data, hourly weather readings, and
demographic data can provide valuable insights
into geographic areas, financial capacity, and
environmental factors that can influence the
adoption of solar power.)
A company recently completed a data analytics
project to identify the most energy-efficient
products to add to the catalog. The project team
comprised business users, project sponsors,
analysts, data scientists, data engineers, and
,database administrators. Now, the team needs to
share their findings with various stakeholders.
What should the data scientists, data engineer, and
database administrator do to share their findings?
-Share code and provide implementation details
-Assess the benefits and implications of findings
-Create high-level presentations
-Manage project timelines and budgets Correct
Answers Share code and provide implementation
details (Data scientists, data engineers, and
database administrators share their code and
create technical documents on how to implement
it.)
A company wants to predict the likelihood of a
customer responding to a marketing campaign.
The data set contains both numerical and
categorical variables.
Which analytics technique should the company
use?
-Random forest
-Principal component analysis (PCA)
-K-means clustering
-Logistic regression Correct Answers Logistic
regression (Logistic regression is a suitable
technique for binary classification problems, such
as predicting the likelihood of a customer
responding to a marketing campaign when the
dataset contains numerical and categorical
variables.)
, A company will survey its customers to understand
the potential demand for a new product. A data
analyst will review the data.Which question should
the analysis consider to validate the
representativity of the data? Correct Answers
What is the response rate of the survey?
A data analyst at a retail company is provided with
a large dataset containing sales transactions,
customer information, and product details. The
analyst is tasked with preparing the data for
analysis and modeling.Which activity would the
analyst perform during the data preparation
phase?
-Exploring available data to understand its
characteristics and suitability
-Identifying the business problem or research
question that needs to be addressed
-Developing initial hypotheses about the
relationship between data variables
-Allocating computing resources for the data
analysis Correct Answers Exploring available data
to understand its characteristics and suitability
A data analyst for a retail company has collected
data on customer demographics, purchase history,
and marketing campaigns.
Which data analytic technique should be used to
predict demand for the upcoming holiday season?
With Complete Solutions
A business seeks to increase profitability and
optimize inventory management. They decide to
carry out data analytics research to determine
which merchandise is selling quickly and which is
selling slowly. The research seeks to determine
whether there is a relationship between the kind of
merchandise and sales velocity.Which data is
required to answer the question for the data
analytics project in the scenario?
-Sales data categorized by customer segment
-Sales data categorized by region
-Sales data categorized by time period
-Sales data categorized by product Correct
Answers Sales data categorized by product
A car manufacturing company is looking to improve
its production by analyzing how factors such as
temperature, humidity, and machine performance
affect production efficiency. To identify the key
factor that affects efficiency the most, an analyst
uses the regression analysis technique.What
justifies the use of regression analysis for the given
task? Correct Answers Regression analysis is used
to analyze the relationship between one or more
independent variables and a dependent variable.
,A company in the renewable energy industry is
working on a data analytics project to identify
which areas are more likely to adopt solar power.
The data science team needs to gather relevant
data sources for this project.
Which data sources are most relevant for a
renewable energy company looking to identify
areas more likely to adopt solar power?
-Medical insurance claims data, survey response
data, and warranty claims data
-Web log data, e-commerce server application logs,
and call-center records -Point-of-sale data, credit
card charge records, and telephone call detail
records
-Census and economic data, hourly weather
readings, and demographic data Correct Answers
Census and economic data, hourly weather
readings, and demographic data (Census data,
economic data, hourly weather readings, and
demographic data can provide valuable insights
into geographic areas, financial capacity, and
environmental factors that can influence the
adoption of solar power.)
A company recently completed a data analytics
project to identify the most energy-efficient
products to add to the catalog. The project team
comprised business users, project sponsors,
analysts, data scientists, data engineers, and
,database administrators. Now, the team needs to
share their findings with various stakeholders.
What should the data scientists, data engineer, and
database administrator do to share their findings?
-Share code and provide implementation details
-Assess the benefits and implications of findings
-Create high-level presentations
-Manage project timelines and budgets Correct
Answers Share code and provide implementation
details (Data scientists, data engineers, and
database administrators share their code and
create technical documents on how to implement
it.)
A company wants to predict the likelihood of a
customer responding to a marketing campaign.
The data set contains both numerical and
categorical variables.
Which analytics technique should the company
use?
-Random forest
-Principal component analysis (PCA)
-K-means clustering
-Logistic regression Correct Answers Logistic
regression (Logistic regression is a suitable
technique for binary classification problems, such
as predicting the likelihood of a customer
responding to a marketing campaign when the
dataset contains numerical and categorical
variables.)
, A company will survey its customers to understand
the potential demand for a new product. A data
analyst will review the data.Which question should
the analysis consider to validate the
representativity of the data? Correct Answers
What is the response rate of the survey?
A data analyst at a retail company is provided with
a large dataset containing sales transactions,
customer information, and product details. The
analyst is tasked with preparing the data for
analysis and modeling.Which activity would the
analyst perform during the data preparation
phase?
-Exploring available data to understand its
characteristics and suitability
-Identifying the business problem or research
question that needs to be addressed
-Developing initial hypotheses about the
relationship between data variables
-Allocating computing resources for the data
analysis Correct Answers Exploring available data
to understand its characteristics and suitability
A data analyst for a retail company has collected
data on customer demographics, purchase history,
and marketing campaigns.
Which data analytic technique should be used to
predict demand for the upcoming holiday season?
