chapter 5 understanding big data

What is optimization? A.) A statement about what will happen or might happen in the future such as future sales or employee turnover. B.) A statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste. C.) Predictions based on time-series information. D.) A statistical process for estimating the relationships among variables.

B.) A statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste.

What focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization? A.) Distributed computing B.) Advanced analytics C.) Analysis paralysis D.) Data artist

B.) Advanced Analytics

Which of the following forms of data mining assigns records to one of a predefined set of classes? A.) Clustering B.) Classification C.) Estimation D.) Affinity grouping

B.) Classification

What is a data value that is numerically distant from most of the other data points in a set of data? A.) Fast data B.) Outlier C.) Analysis paralysis D.) Cube

B.) Outlier

What is distributed computing? A.) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools. B.) Processes and manages algorithms across many machines in a computing environment. C.) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization. D.) Extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant information.

B.) Processes and manages algorithms across many machines in a computing environment.

In terms of big data what is veracity? A.) Different forms of structured and unstructured data. B.) Uncertainty of data, including biases, noise, and abnormalities. C.) Scale of data. D.) Analysis of streaming data as it travels around the Internet.

B.) Uncertainty of data, including biases, noise, and abnormalities.

What are the two main objectives associated with data mining? A.) Uncovering tactics and plans. B.) Uncovering trends and patterns. C.) Uncovering intelligence and unstructured data issues. D.) Uncovering competitors and market advantages.

B.) Uncovering trends and patterns.

In terms of big data, what includes the uncertainty of data, including biases, noise, and abnormalities? A.) Variety B.) Veracity C.) Volume D.) Velocity

B.) Veracity

What focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization? A.) Big data B.) Distributed computing C.) Advanced analytics D.) Data scientist

C.) Advanced analytics

What is advanced analytics? A.) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools. B.) Processes and manages algorithms across many machines in a computing environment. C.) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization. D.) Extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant information.

C.) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.

What is a common association detection analysis technique for analyzing certain items to detect customers' buying behavior and predict future behavior? A.) Clustering factors B.) Mashup technology C.) Market basket analysis D.) Drill-down basket analysis

C.) Market basket analysis

What are forecasts? A.) A statement about what will happen or might happen in the future such as future sales or employee turnover. B.) A statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste. C.) Predictions based on time-series information. D.) A statistical process for estimating the relationships among variables.

C.) Predictions based on time-series information.

In terms of big data what is volume? A.) Different forms of structured and unstructured data. B.) Uncertainty of data, including biases, noise, and abnormalities. C.) Scale of data. D.) Analysis of streaming data as it travels around the Internet.

C.) Scale of data.

In terms of big data, what includes the scale of data? A.) Variety B.) Veracity C.) Volume D.) Velocity

C.) Volume

What is regression? A.) A statement about what will happen or might happen in the future such as future sales or employee turnover. B.) A statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste. C.) Predictions based on time-series information. D.) A statistical process for estimating the relationships among variables.

D.) A statistical process for estimating the relationships among variables

In terms of big data what is velocity? A.) Different forms of structured and unstructured data. B.) Uncertainty of data, including biases, noise, and abnormalities. C.) Scale of data. D.) Analysis of streaming data as it travels around the Internet.

D.) Analysis of streaming data as it travels around the Internet.

What is a business analytics specialist who uses visual tools to help people understand complex data? A.) Distributed computing specialist B.) Data processor C.) Data scientist D.) Data artist

D.) Data artist

True or False? Affinity determines values for an unknown continuous variable behavior or estimated future value.

False

True or False? Classification segments a heterogeneous population of more homogeneous subgroups.

False

True or False? Distributed computing focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.

False

True or False? Estimation determines which things go together.

False

True or False? Prediction is a statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste.

False

True or False? Regression is a prediction based on time-series information.

False

True or False? Regression is a statement about what will happen or might happen in the future such as future sales or employee turnover.

False

True or False? Velocity includes different forms of structured and unstructured data.

False

True or False? Volume includes the uncertainty of data, including biases, noise, and abnormalities.

False

True or False? Advanced analytics focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization.

True

True or False? Association detection reveals the relationship between variables along with the nature and frequency of the relationship.

True

True or False? Big data is a collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools.

True

True or False? Data-mining tools use a variety of techniques to find patterns and relationships in large volumes of information that predict future behavior and guide decision making.

True

True or False? Distributed computing processes and manages algorithms across many machines in a computing environment.

True

True or False? Regression is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables.

True

True or False? The four common characteristics of big data are variety, veracity, volume, velocity.

True

True or False? Variety includes different forms of structured and unstructured data.

True

True or False? Velocity includes the analysis of streaming data as it travels around the Internet.

True

True or False? Veracity includes the uncertainty of data, including biases, noise, and abnormalities.

True

True or False? Volume includes the scale of data.

True

What is big data? A.) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools. B.) Processes and manages algorithms across many machines in a computing environment. C.) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization. D.) Extracts knowledge from data by performing statistical analysis, data mining, and advanced analytics on big data to identify trends, market changes, and other relevant information.

A.) A collection of large, complex data sets, including structured and unstructured data, that cannot be analyzed using traditional database methods and tools.

What is prediction? A.) A statement about what will happen or might happen in the future such as future sales or employee turnover. B.) A statistical process that finds the way to make a design, system, or decision as effective as possible, for example, finding the values of controllable variables that determine maximal productivity or minimal waste. C.) Forecasts based on time-series information. D.) A statistical process for estimating the relationships among variables.

A.) A statement about what will happen or might happen in the future such as future sales or employee turnover.

In terms of big data, what is variety? A.) Different forms of structured and unstructured data. B.) Uncertainty of data, including biases, noise, and abnormalities. C.) Scale of data. D.) Analysis of streaming data as it travels around the Internet.

A.) Different forms of structured and unstructured data.

What is distributed computing? A.) Processes and manages algorithms across many machines in a computing environment. B.) Focuses on forecasting future trends and producing insights using sophisticated quantitative methods, including statistics, descriptive and predictive data mining, simulation, and optimization. C.) Occurs when the user goes into an emotional state of over analysis (or overthinking) a situation so that a decision or action is never taken, in effect paralyzing the outcome. D.) A business analytics specialist who uses visual tools to help people understand complex data.

A.) Processes and manages algorithms across many machines in a computing environment.

In terms of big data, what includes different forms of structured and unstructured data? A.) Variety B.) Veracity C.) Volume D.) Velocity

A.) Variety