Question 1

What is also known as outlier analysis and reveals observations or events that are outside a data set's normal behavior?

Accepted Answer

A)  Quantitative values 
B)  Categorical values 
C)  Exploratory data analytics 
D)  Anomaly detection 
A)  Quantitative values 
B)  Categorical values 
C)  Exploratory data analytics 
D)  Anomaly detection

Question 2

Choose from the definitions below the best definition of textual analysis.

Accepted Answer

A)  Textual analysis is a category of data analytics techniques used to interpret objects that include words. 
B)  Textual analysis uses data to show what individuals, systems, and machines are doing in a visual format. 
C)  Textual analysis is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create. 
D)  Textual analysis is a technique that gathers, transforms, and visualizes geographic data and imagery. 
A)  Textual analysis is a category of data analytics techniques used to interpret objects that include words. 
B)  Textual analysis uses data to show what individuals, systems, and machines are doing in a visual format. 
C)  Textual analysis is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create. 
D)  Textual analysis is a technique that gathers, transforms, and visualizes geographic data and imagery.

Question 3

________ is additional movements in the time series data that cannot be explained as a trend or seasonality. A drastic spike in revenue at the end of February due to a large customer order for a one-time event is an example of

Accepted Answer

A)  A dependent variable 
B)  A time trend 
C)  Seasonality 
D)  Noise 
A)  A dependent variable 
B)  A time trend 
C)  Seasonality 
D)  Noise

Question 4

You are presented with a data set of 6 test scores: 47, 46, 46, 44, 43 and 26. What is the average test score?

Accepted Answer

A)  46 
B)  44 
C)  42 
D)  26 
A)  46 
B)  44 
C)  42 
D)  26

Question 5

There are four widely used categories of data analytics. Choose the best description for predictive analytics.

Accepted Answer

A)  Looks at historical data and condenses it into smaller, more meaningful bits of information 
B)  Drills down to a granular level 
C)  Provides powerful tools that assist in decision making and inform future actions 
D)  Requires advanced programming 
A)  Looks at historical data and condenses it into smaller, more meaningful bits of information 
B)  Drills down to a granular level 
C)  Provides powerful tools that assist in decision making and inform future actions 
D)  Requires advanced programming

Question 6

What is a popular method of summarizing smaller data sets in Excel?

Accepted Answer

A)  Pivot table 
B)  Group by 
C)  Summarize 
D)  Dragging field names to the appropriate locations 
A)  Pivot table 
B)  Group by 
C)  Summarize 
D)  Dragging field names to the appropriate locations

Question 7

The first step in analyzing a data set is learning about its data. Besides discovering patterns, exploration can find unexpected data points. What are these data points called that fall outside the data set's norm?

Accepted Answer

A)  Categorical values 
B)  Quantitative values 
C)  Patterns 
D)  Anomalies 
A)  Categorical values 
B)  Quantitative values 
C)  Patterns 
D)  Anomalies

Question 8

Businesses like to use a ________ confidence interval when they perform forecasting.

Accepted Answer

A)  25% 
B)  35% 
C)  75% 
D)  95% 
A)  25% 
B)  35% 
C)  75% 
D)  95%

Question 9

Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in investment firms?

Accepted Answer

Monte Carlo can predict the va

Question 10

What is a popular simulation that predicts the probability of different outcomes in the presence of many random variables?

Accepted Answer

A)  Monte Carlo simulation 
B)  Forecasting 
C)  A confidence interval 
D)  Break-even analysis 
A)  Monte Carlo simulation 
B)  Forecasting 
C)  A confidence interval 
D)  Break-even analysis

Question 11

Natural language processing (NLP) is a form of textual analysis that gathers, processes, and interprets meaning from human language. Sentiment analysis is a complex and advanced data analytics technique. Give an example of how natural language processing (NLP) could be used with board meeting minutes.

Accepted Answer

NLP and sentiment analysis can extract m

Question 12

Geospatial analytics is a technique that gathers, transforms, and visualizes geographic data and imagery, including satellite photographs, Global Positioning System (GPS) coordinates, and more. Give an example of how geospatial analytics could be used in the delivery industry.

Accepted Answer

Amazon delivery trucks use GPS so custom

Question 13

Choose from the definitions below the best definition of sentiment analysis.

Accepted Answer

A)  Sentiment analysis uses data to show what individuals, systems, and machines are doing in a visual format. 
B)  Sentiment analysis is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create. 
C)  Sentiment analysis uses NLP to interpret and classify the emotions underneath language in a text format. 
D)  Sentiment analysis is a technique that gathers, transforms, and visualizes geographic data and imagery. 
A)  Sentiment analysis uses data to show what individuals, systems, and machines are doing in a visual format. 
B)  Sentiment analysis is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create. 
C)  Sentiment analysis uses NLP to interpret and classify the emotions underneath language in a text format. 
D)  Sentiment analysis is a technique that gathers, transforms, and visualizes geographic data and imagery.

Question 14

Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in personal finances?

Accepted Answer

Monte Carlo simulation can simulate inve

Question 15

In cluster analysis, the Machine Learning (ML) algorithm finds similarities between the data points to group them together without human intervention. There are many business uses for clustering. Describe an example of clustering in the public health field.

Accepted Answer

There are many examples. One such exampl

Question 16

When you request a ride service to drive you from point A to point B, what type of analytics are you practicing?

Accepted Answer

A)  Process mining 
B)  Network analysis 
C)  Geospatial analytics 
D)  Natural language processing 
A)  Process mining 
B)  Network analysis 
C)  Geospatial analytics 
D)  Natural language processing

Question 17

Any part of the business that captures event data is a candidate for process mining. Give an example of how process mining could be used in Information Technology (IT)?

Accepted Answer

Events for IT requests can be analyzed f

Question 18

There are four widely used categories of data analytics. Choose the best description for prescriptive analytics.

Accepted Answer

A)  Looks at historical data and condenses it into smaller, more meaningful bits of information 
B)  Drills down to a granular level 
C)  Provides powerful tools that assist in decision making and inform future actions 
D)  Requires advanced programming 
A)  Looks at historical data and condenses it into smaller, more meaningful bits of information 
B)  Drills down to a granular level 
C)  Provides powerful tools that assist in decision making and inform future actions 
D)  Requires advanced programming

Question 19

Maeve is a freshman outfielder on the softball team. Her softball coach tells her that the more hours she practices hitting in the batting cage and on the field, the higher her batting average will be during the season. What is the dependent variable?

Accepted Answer

A)  The number of pitches she faces 
B)  The spikes she wears 
C)  Her batting average 
D)  The hours of practice she does 
A)  The number of pitches she faces 
B)  The spikes she wears 
C)  Her batting average 
D)  The hours of practice she does

Question 20

The "lower confidence bound" and "upper confidence bound"
Are part of what?

Accepted Answer

A)  Forecasting 
B)  A confidence interval 
C)  Break-even analysis 
D)  A simulation 
A)  Forecasting 
B)  A confidence interval 
C)  Break-even analysis 
D)  A simulation

What is also known as outlier analysis and reveals observations or events that are outside a data set's normal behavior?

Choose from the definitions below the best definition of textual analysis.

________ is additional movements in the time series data that cannot be explained as a trend or seasonality. A drastic spike in revenue at the end of February due to a large customer order for a one-time event is an example of

You are presented with a data set of 6 test scores: 47, 46, 46, 44, 43 and 26. What is the average test score?

There are four widely used categories of data analytics. Choose the best description for predictive analytics.

What is a popular method of summarizing smaller data sets in Excel?

The first step in analyzing a data set is learning about its data. Besides discovering patterns, exploration can find unexpected data points. What are these data points called that fall outside the data set's norm?

Businesses like to use a ________ confidence interval when they perform forecasting.

Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in investment firms?

What is a popular simulation that predicts the probability of different outcomes in the presence of many random variables?

Geospatial analytics is a technique that gathers, transforms, and visualizes geographic data and imagery, including satellite photographs, Global Positioning System (GPS) coordinates, and more. Give an example of how geospatial analytics could be used in the delivery industry.

Choose from the definitions below the best definition of sentiment analysis.

Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in personal finances?

In cluster analysis, the Machine Learning (ML) algorithm finds similarities between the data points to group them together without human intervention. There are many business uses for clustering. Describe an example of clustering in the public health field.

When you request a ride service to drive you from point A to point B, what type of analytics are you practicing?

Any part of the business that captures event data is a candidate for process mining. Give an example of how process mining could be used in Information Technology (IT)?

There are four widely used categories of data analytics. Choose the best description for prescriptive analytics.

Maeve is a freshman outfielder on the softball team. Her softball coach tells her that the more hours she practices hitting in the batting cage and on the field, the higher her batting average will be during the season. What is the dependent variable?

The "lower confidence bound" and "upper confidence bound" Are part of what?

Accounting As Information

Risks and Risk Assessments

Risk Management and Internal Controls

Software and Systems

Data Storage and Analysis

Systems and Database Design

Emerging and Disruptive Technologies

Documenting Systems and Processes

Human Resources and Payroll Processes

Purchasing and Payments Process

Conversion Processes

Marketing, Sales, and Collection Processes

Financial Reporting Processes

Information Systems and Controls

Fraud

Cybersecurity

Data Visualization

Audit Assurance

Filters

Exam 17: Data Analytics

What is also known as outlier analysis and reveals observations or events that are outside a data set's normal behavior?

Choose from the definitions below the best definition of textual analysis.

________ is additional movements in the time series data that cannot be explained as a trend or seasonality. A drastic spike in revenue at the end of February due to a large customer order for a one-time event is an example of

You are presented with a data set of 6 test scores: 47, 46, 46, 44, 43 and 26. What is the average test score?

There are four widely used categories of data analytics. Choose the best description for predictive analytics.

What is a popular method of summarizing smaller data sets in Excel?

The first step in analyzing a data set is learning about its data. Besides discovering patterns, exploration can find unexpected data points. What are these data points called that fall outside the data set's norm?

Businesses like to use a ________ confidence interval when they perform forecasting.

Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in investment firms?

What is a popular simulation that predicts the probability of different outcomes in the presence of many random variables?

Geospatial analytics is a technique that gathers, transforms, and visualizes geographic data and imagery, including satellite photographs, Global Positioning System (GPS) coordinates, and more. Give an example of how geospatial analytics could be used in the delivery industry.

Choose from the definitions below the best definition of sentiment analysis.

Monte Carlo simulation is an important simulation in the business world and can be used in many contexts. Give an example of how Monte Carlo simulation could be used in personal finances?

In cluster analysis, the Machine Learning (ML) algorithm finds similarities between the data points to group them together without human intervention. There are many business uses for clustering. Describe an example of clustering in the public health field.

When you request a ride service to drive you from point A to point B, what type of analytics are you practicing?

Any part of the business that captures event data is a candidate for process mining. Give an example of how process mining could be used in Information Technology (IT)?

There are four widely used categories of data analytics. Choose the best description for prescriptive analytics.

Maeve is a freshman outfielder on the softball team. Her softball coach tells her that the more hours she practices hitting in the batting cage and on the field, the higher her batting average will be during the season. What is the dependent variable?

The "lower confidence bound" and "upper confidence bound" Are part of what?

Accounting As Information

Risks and Risk Assessments

Risk Management and Internal Controls

Software and Systems

Data Storage and Analysis

Systems and Database Design

Emerging and Disruptive Technologies

Documenting Systems and Processes

Human Resources and Payroll Processes

Purchasing and Payments Process

Conversion Processes

Marketing, Sales, and Collection Processes

Financial Reporting Processes

Information Systems and Controls

Fraud

Cybersecurity

Data Visualization

Audit Assurance

Filters