Question 1

Health Canada 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 Health Canada be held?
A)Internet database  
B)competitive intelligence source  
C)data warehouse  
D)data extraction

Accepted Answer

The data collected by Health Canada would be held in a data warehouse, which is a large repository of electronic data used for reporting and analysis.

Question 2

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

The answer of Baseball management was trying to uncover matches...

Question 3

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, which involves analyzing large sets of data to discover patterns and relationships, would be the best choice for helping supermarkets with this strategy. By examining checkout data, they can identify patterns such as the correlation between purchasing non-alcoholic beer and salty snacks, which can allow them to strategically place these products in proximity to each other to increase sales. Optical scanning, electronic data interchange, and bar coding are useful tools for collecting and processing data, but they do not involve the type of advanced analysis that would be necessary to uncover these types of insights.

Question 4

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 answer of Jim Rhoade thought he had a decent...

Question 5

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 security problem where an attacker sends fraudulent emails or messages to trick the receiver into revealing sensitive information, such as passwords or credit card numbers. This can allow the attacker to access sensitive data and compromise the data network. Screen printing, mouse flashing, and mob flashing do not pose direct threats to data and data networks.

Question 6

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 predictive pattern. Association pattern discovers relationships between variables that occur simultaneously, while predictive pattern forecasts the value of a variable based on the values of other variables.

Question 7

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, leading to the identification of a cluster or group within the data. This process is typically achieved through data mining or statistical analysis techniques, which can help to uncover patterns and correlations in large datasets. Once a cluster has been identified, it can be used to gain insights into the underlying structure of the data and to inform decision-making processes in a wide range of fields.

Question 8

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 the software with a specific set of patterns or relationships to search for in the data. This differs from unsupervised data mining, which involves the software determining patterns and relationships on its own. Specific and comprehensive are not typical types of data mining, but rather describe the scope of the analysis.

Question 9

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

Data mining led to the discovery of the affinity pattern, which identifies a correlation or association between different items or actions. In this case, the pattern is that people who buy non-alcoholic beer also tend to buy a bag of salty snacks, indicating an affinity between these two items.

Question 10

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

In unsupervised data mining, the user does not provide the software with a particular target or goal. The software simply searches for patterns and relationships on its own. Therefore, option D is the correct choice.

Question 11

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 unknown patterns and relationships in large amounts of data through the use of statistical and computational methods. It involves exploring and analyzing data from different perspectives to uncover hidden patterns, correlations, and insights that can be used to make informed decisions. This process helps organizations to identify new business opportunities, improve their operations, and gain a competitive advantage.

Question 12

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 is known as a sequence pattern in data mining, where one element precedes the other in a significant pattern. Choices A, B, and C refer to different types of patterns in data mining, but do not specifically describe the scenario mentioned in the question.

Question 13

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. In supervised learning, the model is trained using labeled data to make predictions or classifications on new data. In unsupervised learning, the model identifies patterns and relationships in the data without the use of labeled data. The other options (B, C, and D) are not accurate descriptions of the major types of data mining.

Question 14

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 deduplicated border crossing records will be stored in data warehouses, which are specifically designed for storing and analyzing large amounts of data. Internet databases and competitive intelligence sources are not ideal for this purpose, as they may not have the necessary security, organization, or processing capabilities. Data extractions are a step in the process of cleaning and preparing the data and do not represent a final storage location.

Question 15

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

Accepted Answer

Data for data mining is generally stored in a data warehouse, which is a centralized repository that allows for efficient storage and retrieval of large amounts of structured data. A data warehouse is specifically designed for data analysis and decision-making, making it the optimal choice for data mining activities. The other options, such as a data room or data library, may be used to store data but are not specifically designed for analysis and may not be as efficient for data mining purposes.

Question 16

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 is responsible for protecting the information by ensuring accuracy of data and restricting access to authorized audit personnel.

Question 17

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

Tim will place a firewall between the firm and the public to prevent outside access to customer records and pricing formulas. A firewall is a network security system that monitors and controls incoming and outgoing network traffic based on an organization's previously established security policies. It acts as a barrier between the company's internal network and the public internet, filtering out any unauthorized access attempts. This allows the public to access the company's website while ensuring sensitive information is kept secure.

Question 18

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 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

The answer of Kevin is hired by a fast food...

Question 20

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

Amazon.com is using the association pattern of data mining, where they are identifying the relationships between the items by analyzing the purchasing patterns of customers. This helps them suggest additional items that customers might be interested in based on their previous purchases.

Quiz 16: Managing Information in a Global World

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

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

What happens to create a data cluster?

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?

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?

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?

What is the definition of data mining?

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?

What are the two major types of data mining?

Where does data reside for data mining?

Which patterns can unsupervised data mining be used to recognize?

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?