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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 accounting field.

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There are many examples. One such exampl...

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You recently joined Facelink, the latest social network craze. Facelink suggests 3 "friends" for you to link with based on your current connections. What type of network analysis is Facelink practicing?


A) Physical network analysis
B) Social category analysis
C) Social network analysis
D) Society network analysis

E) A) and C)
F) B) and D)

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Five data analytics-related job titles were discussed in the text. Which of the following job titles would need an expert understanding of visualization?


A) Data engineer
B) Data scientist
C) Statistician
D) Business intelligence analyst

E) A) and D)
F) None of the above

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Five data analytics-related job titles were discussed in the text. Which of the following job titles would need an expert understanding of data modeling?


A) Business analyst
B) Data scientist
C) Statistician
D) Data analyst

E) All of the above
F) C) and D)

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Choose from the definitions below the best definition of process mining.


A) Process mining is data about activities in a system and includes the timestamp of when the activities occur.
B) Process mining uses event log data to show what individuals, systems, and machines are doing in a visual format.
C) Process mining is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create.
D) Process mining is a type of network analysis that investigates social structures on social media.

E) A) and D)
F) B) and C)

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________ is a consistent movement in the time series data that repeats on a regular basis. An example is an increase in revenue every June, July and August due to summer beach sales.


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

E) A) and B)
F) A) and C)

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Machine Learning (ML) uses algorithms and statistical models to train an AI system through patterns and trends in data sets. ML programs systems to perform tasks without explicit instructions and is a popular application of AI in data analytics. There are three machine learning approaches. Choose the best definition for supervised learning.


A) Uses labeled data sets to train the algorithm to classify data or predict outcomes from a data set
B) Uses algorithms to analyze unlabeled data sets for hidden patterns
C) Focuses on decision making by rewarding desired behaviors and/or punishing undesired behaviors
D) This hybrid approach may require human intervention.

E) C) and D)
F) B) and D)

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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 auditing documents.

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NLP has gained popularity in the auditin...

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What is the first step in most complex data analytics techniques?


A) Data summarization
B) Clustering
C) Classification
D) Anomaly detection

E) A) and B)
F) A) and C)

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


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

E) C) and D)
F) A) and B)

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Linear regression is a statistical technique we use to estimate the relationships between a dependent variable and one or more


A) dependent variables.
B) independent variables.
C) slopes of the line.
D) Y-intercepts.

E) A) and D)
F) A) and C)

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


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

E) C) and D)
F) B) and D)

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Consider the simple linear regression equation: Y = A + Bx What does x represent?


A) The dependent variable
B) The independent variable
C) The Y-intercept
D) The slope of line

E) B) and C)
F) A) and D)

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Five data analytics-related job titles were discussed in the text. Which of the following job titles would best fit the following description: "The role is math oriented and focuses on collection and interpretation of quantitative data using defined scientific methods."


A) Data engineer
B) Data scientist
C) Statistician
D) Data analyst

E) A) and B)
F) A) and C)

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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 employee satisfaction surveys.

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Analyzing open text fields of ...

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There are four widely used categories of data analysis. Which two analyze historical data and predict future events, providing recommendations on what the business should do?


A) Descriptive and Diagnostic
B) Predictive and Prescriptive
C) Descriptive and Prescriptive
D) Diagnostic and Predictive

E) C) and D)
F) A) and B)

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Choose from the definitions below the best definition of natural language processing.


A) Natural language processing uses data to show what individuals, systems, and machines are doing in a visual format.
B) Natural language processing is a form of textual analysis that gathers, processes, and interprets meaning from human language.
C) Natural language processing is an analytics technique that visualizes relationships among participants in a data set to learn about the social structure those relationships create.
D) Natural language processing is a technique that gathers, transforms, and visualizes geographic data and imagery.

E) B) and D)
F) A) and C)

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________ is a consistent movement in the time series data that does not repeat. One example is an increase in revenue through a fiscal year due to a new product launch.


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

E) B) and C)
F) None of the above

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Anomaly detection, also known as outlier analysis, reveals observations or events that are outside a data set's normal behavior. Anomaly detection is an important data analytic objective. Anomaly detection is applicable to every part of a business. Describe how anomaly detection could be used in the marketing department.

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There are many examples. One such exampl...

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Consider the simple linear regression equation: Y = A + Bx What does A represent?


A) The dependent variable
B) The independent variable
C) The Y-intercept
D) The slope of line

E) B) and C)
F) A) and D)

Correct Answer

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