Name: Score:
59 Multiple choice questions
Term 1 of 59
Which regression model is commonly used for predicting a continuous numerical outcome based
on a set of input features?
Polynomial regression
Random forest regression
Logistic regression
Linear regression
Term 2 of 59
An energy company wants to predict future energy demand to optimize production. The
company has an extensive data set on historical energy usage. Which data analytic technique is
best suited for this scenario?
Time series
Principal component analysis
Multiple regression
Logistic regression
,Term 3 of 59
A healthcare provider aims to improve patient satisfaction and retention. They seek to answer the
question, "What factors are associated with patient satisfaction?" Which data is required to answer
this question in the scenario?
Number of healthcare providers
Financial records of the healthcare provider
Patient feedback survey results
Demographic data of the patients
Term 4 of 59
Which group of stakeholders comprises the professionals, such as line managers?
Database administrators
Data engineers
Project sponsors
Business users
Term 5 of 59
What is the purpose of communicating data analytics results to stakeholders?
To demonstrate the value and impact of data analytics on business outcomes
To share technical details and methodologies used in the analysis
To persuade stakeholders to adopt new data analytics tools and techniques
To validate the accuracy and reliability of the data used in the analysis
, Term 6 of 59
A financial institution is seeking to reduce the risk of fraudulent transactions. The institution has
customer data that includes account information, transaction history, demographics, and device
usage. The data analytics project aims to answer the question: "What patterns of behavior suggest
a higher risk of fraudulent transactions?" Which data is required to meet the needs of the project
and address the risk of fraudulent transactions?
Transaction time data
Customer age data
Customer device usage data
Account opening date data
Term 7 of 59
Which phase is the immediate predecessor to the operationalize phase of the data analytics life
cycle?
Communicate results
Model building
Model planning
Data preparation
Term 8 of 59
An e-commerce company has collected various types of data about their customers, products,
and sales transactions. The available data includes customer demographics, product attributes,
purchase history, website clickstream data, and customer feedback. Which question can be
answered using data analytics based on the available data?
What are the most popular products among customers aged 18-25?
How many sales transactions were made in the last month?
What is the total revenue generated by the company since its inception?
How many employees does the company have?
59 Multiple choice questions
Term 1 of 59
Which regression model is commonly used for predicting a continuous numerical outcome based
on a set of input features?
Polynomial regression
Random forest regression
Logistic regression
Linear regression
Term 2 of 59
An energy company wants to predict future energy demand to optimize production. The
company has an extensive data set on historical energy usage. Which data analytic technique is
best suited for this scenario?
Time series
Principal component analysis
Multiple regression
Logistic regression
,Term 3 of 59
A healthcare provider aims to improve patient satisfaction and retention. They seek to answer the
question, "What factors are associated with patient satisfaction?" Which data is required to answer
this question in the scenario?
Number of healthcare providers
Financial records of the healthcare provider
Patient feedback survey results
Demographic data of the patients
Term 4 of 59
Which group of stakeholders comprises the professionals, such as line managers?
Database administrators
Data engineers
Project sponsors
Business users
Term 5 of 59
What is the purpose of communicating data analytics results to stakeholders?
To demonstrate the value and impact of data analytics on business outcomes
To share technical details and methodologies used in the analysis
To persuade stakeholders to adopt new data analytics tools and techniques
To validate the accuracy and reliability of the data used in the analysis
, Term 6 of 59
A financial institution is seeking to reduce the risk of fraudulent transactions. The institution has
customer data that includes account information, transaction history, demographics, and device
usage. The data analytics project aims to answer the question: "What patterns of behavior suggest
a higher risk of fraudulent transactions?" Which data is required to meet the needs of the project
and address the risk of fraudulent transactions?
Transaction time data
Customer age data
Customer device usage data
Account opening date data
Term 7 of 59
Which phase is the immediate predecessor to the operationalize phase of the data analytics life
cycle?
Communicate results
Model building
Model planning
Data preparation
Term 8 of 59
An e-commerce company has collected various types of data about their customers, products,
and sales transactions. The available data includes customer demographics, product attributes,
purchase history, website clickstream data, and customer feedback. Which question can be
answered using data analytics based on the available data?
What are the most popular products among customers aged 18-25?
How many sales transactions were made in the last month?
What is the total revenue generated by the company since its inception?
How many employees does the company have?
