Question 1

What is the definition of data mining?
A) the automated, electronic capture of data
B) the process of hypothesis testing in large databases
C) the process of verifying known relationships in large amounts of data
D) the process of discovering unknown patterns and relationships in large amounts of data

Accepted Answer

Data mining is the process of discovering previously unknown patterns and relationships in large amounts of data through the use of artificial intelligence, machine learning, algorithms, and statistical modeling. It involves extracting meaningful insights from the data to support decision-making and business strategies.

Question 2

What are the two major types of data mining?
A) supervised and unsupervised
B) random and sequence
C) affinity and association
D) sequence and affinity

Accepted Answer

The two major types of data mining are supervised and unsupervised. Supervised learning involves the use of labeled data to train a model to make predictions or classifications on new, unlabeled data. Unsupervised learning involves finding patterns or relationships in unlabeled data without a specific outcome in mind. Therefore, A is the correct answer. B, C, and D are not accurate categories for types of data mining.

Question 3

What happens to create a data cluster?
A) Data clusters result from the use of internal data mining.
B) Data clusters occur when a statistical technique is used for trend analysis.
C) Data clusters result from samples used for statistical analyses.
D) Data clusters occur when three or more database elements occur together in a significant way.

Accepted Answer

Data clusters occur when three or more database elements occur together in a significant way, forming a pattern or group. This can be identified through techniques such as clustering analysis or association rule mining. It is not necessarily dependent on the use of statistical samples or other internal data mining techniques, as clusters can also arise organically from the data itself.

Question 4

Anthony has been hired by Canada's border services to analyze the number of people that have crossed the border from Canada into the United States in 2013.Anthony is given records of all crossings.He takes the records and removes any duplicates so that a person that crosses the border multiple times is counted as just one person.He then runs the records through software to remove any mistakes.Where will all the records be stored once Anthony has finished?
A) Internet databases
B) competitive intelligence sources
C) data warehouses
D) data extractions

Accepted Answer

The cleaned and processed data will likely be stored in a data warehouse for future analysis and reference by Canada's border services.

Question 5

Which patterns can unsupervised data mining be used to recognize?
A) association, affinity, and sequence
B) association, sequence, and predictive
C) affinity, predictive, and association
D) affinity, sequence, and predictive

Accepted Answer

The answer of Which patterns can unsupervised data mining be...

Question 6

What occurs in data mining when two or more database elements occur together in a significant pattern,with one of the elements preceding the other?
A) data clusters
B) affinity patterns
C) association patterns
D) sequence patterns

Accepted Answer

This describes sequence patterns, where the occurrence of one element precedes the other in a significant pattern. The other choices (data clusters, affinity patterns, and association patterns) do not necessarily involve a specific order or sequence of elements.

Question 7

Which type of data mining usually begins with the user telling the data mining software to look and test for specific patterns and relationships in a data set?
A) supervised
B) specific
C) comprehensive
D) unsupervised

Accepted Answer

Supervised data mining involves the user providing specific criteria or patterns for the software to look for in the data set. This is in contrast to unsupervised data mining, where the software discovers patterns on its own without any specific input from the user. Specific and comprehensive are not commonly used terms to describe types of data mining.

Question 8

In which type of data mining does the user simply tell the data mining software to uncover whatever patterns and relationships it can find in a data set?
A) supervised
B) specific
C) comprehensive
D) unsupervised

Accepted Answer

Unsupervised data mining is a type of data mining where the user does not provide any prior knowledge or guidance to the data mining software. Instead, the software must uncover hidden patterns or relationships on its own. This is sometimes referred to as exploratory data analysis.

Question 9

Scott works in the internal audit department of a government ministry.Scott's primary role is to ensure the data collected for audit is accurate and can be easily retrieved by the audit software the department uses.Scott must also ensure that only audit personnel can access the data.What role does Scott fulfill for the internal audit department?
A) decryption
B) roadblocking
C) data insulation
D) protecting information

Accepted Answer

Scott's role is to protect information by ensuring its accuracy and restricting access to authorized personnel.

Question 10

By examining checkout data,supermarkets have learned that people who are buying non-alcoholic beer often also buy a bag of salty snacks.Which pattern did the use of data mining lead to the discovery of?
A) the sequential pattern
B) the affinity pattern
C) the predictive pattern
D) the adjacency pattern

Accepted Answer

An affinity pattern occurs when two or more database elements tend to occur together in a significant way.

Question 11

When you purchase a book or CD on Amazon.com,as soon as you put your selection in the shopping cart,you are offered a series of other items that people who made the same purchase as you did also bought.Which pattern of data mining is Amazon.com making use of?
A) sequence
B) association
C) predictive
D) adjacency

Accepted Answer

An association (also called an "affinity")pattern occurs when two or more database elements tend to occur together in a significant way.

Question 12

For the purposes of data mining,which kind of pattern is the opposite of the association pattern?
A) sequence
B) adjacency
C) predictive
D) affinity

Accepted Answer

The opposite of association pattern is the predictive pattern, as association pattern discovers the relationship between variables without making any prediction, while predictive pattern uses the discovered patterns to make predictions about future events or outcomes. Therefore, option C is the best choice for the opposite of association pattern. Options A, B, and D are different types of patterns and not the opposite of association pattern.

Question 13

By examining checkout data,supermarkets have learned that people who are buying non-alcoholic beer typically also buy a bag of salty snacks.As a result of this finding,supermarkets often place displays of non-alcoholic beer near the chips and pretzel aisle.Which of the following activities would help supermarkets with this strategy?
A) optical scanning
B) electronic data interchange
C) bar coding
D) data mining

Accepted Answer

Data mining is the process of discovering unknown patterns and relationships in large amounts of data.

Question 14

The U.S.Food and Drug Administration (FDA)could use data it has collected from millions of suspected drug-related adverse event reports and other electronic medical information to identify a pattern of adverse drug events in a specific population.The agency could then communicate this knowledge sooner to medical professionals and patients.Where would the data collected by the FDA be held?
A) Internet database
B) competitive intelligence source
C) data warehouse
D) data extraction

Accepted Answer

The data used in data mining typically come from data warehouses that store huge amounts of data that have been prepared for data mining analysis by being cleaned of errors and redundancy.

Question 15

Baseball management was trying to uncover matches and relationships in the data it had on first-time patrons who purchased box stadium seats.It discovered that its sales increased by almost 100 percent in those seasons when it held an open house prior to the opening game and allowed people to see the box seats and examine the view of the stadium from those seats.Which pattern did the management discover,in terms of data mining?
A) affinity
B) sequence
C) association
D) adjacency

Accepted Answer

A sequence pattern occurs in data mining when two or more database elements occur together in a significant pattern,with one of the elements preceding the other.

Question 16

Where does data reside for data mining?
A) data room
B) data storage
C) data library
D) data warehouse

Accepted Answer

Data mining data typically comes from a data warehouse.

Question 17

Jim Rhoade thought he had a decent deal with State Farm for insurance coverage on his two cars and his home,but a friend gave him a tip about lower premiums at Allstate.After contacting his local Allstate agent,Rhoade had slashed his annual auto premiums by $400 and his homeowner's premium by the same amount.That's because,in addition to considering Rhoade's record,Allstate took into account seemingly unrelated information from his credit report,such as whether he pays bills on time (he does)and whether there had ever been a claim on his home (there hadn't).Allstate has discovered patterns that indicate that the better the credit report,the more likely the individual is to be a good risk for an insurer.Which type of pattern has Allstate discovered?
A) sequence
B) association
C) predictive
D) adjacency

Accepted Answer

The lower insurance rate is predicated on the excellent credit report.Association patterns occur when two or more database elements occur together in a significant way.

Question 18

Which of the following is an example of a security problem that may threaten data and data networks?
A) screen printing
B) phishing
C) mouse flashing
D) mob flashing

Accepted Answer

Phishing is a method used by cybercriminals to obtain sensitive information such as usernames, passwords and credit card details by disguising as a trustworthy entity in electronic communication. It is a major security problem that can compromise data and data networks. Screen printing, mouse flashing, and mob flashing do not pose as significant threats to data and data networks.

Question 19

Kevin is hired by a fast food restaurant to determine why sales have started to decrease.Kevin finds that 30 percent of orders include something toasted.There is just one toaster that creates a bottleneck.Lines of cars build up at the drive thru service.Kevin sees potential customers driving in toward the restaurant turn away and go to a competing restaurant.What has Kevin discovered?
A) chaos clusters
B) non-sequential clusters
C) rational clusters
D) data clusters

Accepted Answer

Kevin has discovered a data cluster related to the bottleneck caused by the single toaster leading to longer wait times and potential loss of customers.

Question 20

Tim is the IT security officer for an engineering firm.Tim must ensure customer records and pricing formulas are not accessible by anyone outside the company.However,the firm wants the public to be able to easily surf its website to learn what services they provide.What layer of security will Tim place between the firm and the public to prevent outside access to customer records and pricing formulas?
A) roadblocks
B) firewalls
C) hidden cameras
D) locks

Accepted Answer

Firewalls are the most common security measure placed between a company's internal network and the public internet. They help prevent unauthorized access to sensitive information, while allowing public access to the company's website. Roadblocks, locks, and hidden cameras are not appropriate security measures for this scenario.

Quiz 17: Managing Information in a Global World

What is the definition of data mining?

What are the two major types of data mining?

What happens to create a data cluster?

Which patterns can unsupervised data mining be used to recognize?

What occurs in data mining when two or more database elements occur together in a significant pattern,with one of the elements preceding the other?

Which type of data mining usually begins with the user telling the data mining software to look and test for specific patterns and relationships in a data set?

In which type of data mining does the user simply tell the data mining software to uncover whatever patterns and relationships it can find in a data set?

By examining checkout data,supermarkets have learned that people who are buying non-alcoholic beer often also buy a bag of salty snacks.Which pattern did the use of data mining lead to the discovery of?

When you purchase a book or CD on Amazon.com,as soon as you put your selection in the shopping cart,you are offered a series of other items that people who made the same purchase as you did also bought.Which pattern of data mining is Amazon.com making use of?

For the purposes of data mining,which kind of pattern is the opposite of the association pattern?

Where does data reside for data mining?

Which of the following is an example of a security problem that may threaten data and data networks?