Question 1

Why is it important that organisations only collect necessary personal information?
A) Collecting personal information is challenging and time-consuming.
B) Over-collection of personal information can increase risks of mishandling that information.
C) Organisations often don't have the resources available to do this type of collection well.
D) Collecting personal information can be expensive.

Accepted Answer

Over-collection of personal information can increase the risks of mishandling that information, such as unauthorized access or use, which can cause harm to individuals. Collecting unnecessary personal information is a violation of privacy principles and can decrease trust in the organization. Furthermore, storing and securing larger volumes of personal information can be expensive and resource-intensive. Therefore, it is important for organizations to only collect necessary personal information to minimize risks, comply with privacy laws, and demonstrate their respect for individuals' privacy.

Question 2

Which of the following five Vs of big data refers to the diversity of sources, formats and dimensions of data?
A) Volume
B) Variety
C) Value
D) Veracity

Accepted Answer

Variety refers to the diversity of sources, formats and dimensions of data, while volume refers to the amount of data, value refers to the usefulness of the data, and veracity refers to the quality or accuracy of the data. Therefore, B is the best choice for this question.

Question 3

A successful organisation achieves its business goals with a knowledge-management process by
A) using web-based and digital technology only.
B) exploring the potential of its staff.
C) changing how people work and earn an income.
D) aligning its big data activities and knowledge-management strategies with business objectives and people management.

Accepted Answer

The best choice for achieving business goals through knowledge management is aligning big data activities and knowledge management strategies with business objectives and people management. This involves leveraging technology as well as exploring the potential of staff members to create and share knowledge that aligns with business goals. It does not necessarily involve changing how people work or earn an income.

Question 4

Which step in the information life cycle is not a risk mitigation strategy?
A) Destroy or de-identify personal information that is no longer needed
B) Collect and hold personal information needed for service and tasks
C) Put into place strategies to protect personal information held
D) Embed privacy protections into personal information handling practices

Accepted Answer

Collecting and holding personal information is not a risk mitigation strategy, but rather a necessary step in the information life cycle. The other options (A, C, and D) are all risk mitigation strategies aimed at protecting personal information.

Question 5

Artificial intelligence programs that simulate interactive human conversation are known as
A) real-time big data.
B) digital footprints.
C) the Internet of Things (IoT).
D) chatbots.

Accepted Answer

Artificial intelligence programs that simulate interactive human conversation are known as chatbots.

Question 6

Big data analytics allow global financial markets to track current numbers and trends.

Accepted Answer

Big data analytics tools and technologies enable financial institutions to analyze vast amounts of data in real-time, providing insights into current numbers and trends in global financial markets.

Question 7

Charlene's job is to propose strategies that her organisation can use to monetise the data they collect. Charlene is concerned with
A) variety.
B) value.
C) velocity.
D) volume.

Accepted Answer

Charlene's concern is with finding ways to monetize the data the organization collects, which means she is focused on adding value to that data. Therefore, the best choice is B, value.

Question 8

A person's digital footprint refers to
A) artificial intelligence programs that simulate interactive human conversation.
B) the body of data that records an individual's digital interactions.
C) the integration of physical objects and information networks.
D) how valuable data related to a person is to an organisation.

Accepted Answer

A person's digital footprint refers to the body of data that records an individual's digital interactions, such as their online activity, social media posts, and digital communications.

Question 9

While big data analysis provides insights to customer-focused organisations, it has not yet proven to be useful in other areas of society.

Accepted Answer

Big data analysis has proven to be useful in various other areas of society such as healthcare, education, transportation, and public safety.

Question 10

Which of the following techniques for analysing big data enables the access, examination and integration of large amounts of historical data from multiple data sources?
A) Data visualisation
B) Predictive analytics
C) Data mining
D) In-memory analytics

Accepted Answer

Data mining is the technique used to access, examine, and integrate large amounts of historical data from multiple sources. It involves extracting valuable insights from large datasets by identifying patterns, relationships, and trends. Data visualisation is the technique of representing data in graphical form, while predictive analytics is the technique of using statistical models and machine learning algorithms to predict future outcomes. In-memory analytics refers to the use of computer memory for data analysis, enabling faster processing. However, none of these techniques explicitly deal with the integration of historical data from multiple sources, which is the primary focus of data mining.

Question 11

Amazon's choices of suggested products that it displays to a consumer is based on a recommendation engine.

Accepted Answer

Amazon uses a recommendation engine powered by algorithms and data analysis to suggest products that a consumer might be interested in based on their browsing and purchase history, as well as other factors such as product ratings and reviews.

Question 12

Infographics and user-friendly graphs and charts are features of the big data analysis technique known as data visualisation.

Accepted Answer

Infographics, user-friendly graphs and charts are commonly used in data visualisation to represent complex data in a simplified manner, making it easier for individuals to understand and draw insights from the data.

Question 13

Tacit knowledge can be difficult to communicate to the rest of an organisation because it
A) cannot be taught to people.
B) cannot be transformed.
C) is taken as personal property.
D) is known only by an individual.

Accepted Answer

The answer of Tacit knowledge can be difficult to communicate...

Question 14

Explicit knowledge is easier to communicate because it
A) cannot be transformed from explicit to tacit knowledge.
B) is articulated in procedures, manuals, and paper-based and electronic documents.
C) can be embedded in an organisation's culture.
D) is indispensable to others in the organisation.

Accepted Answer

Explicit knowledge is knowledge that can be easily documented, codified, and communicated through writing or other tangible means, such as manuals or procedures. This contrasts with tacit knowledge, which is more difficult to transfer and resides in the minds of individuals. Therefore, choice B is the best answer as it correctly identifies that explicit knowledge is articulated in procedures, manuals, and other paper-based and electronic documents.

Question 15

The purpose of data visualisation is to access, examine and integrate large amounts of historical data from multiple data sources.

Accepted Answer

The primary purpose of data visualization is to communicate information clearly and efficiently via graphical means, making complex data more accessible, understandable, and usable, not specifically to access, examine, and integrate historical data from multiple sources.

Question 16

Arnold is a software developer for a popular social networking company. He is monitoring how many unique posts users generate per minute. Considering the five Vs of big data, which is Arnold most concerned with during this exercise?
A) Value
B) Veracity
C) Variety
D) Velocity

Accepted Answer

Arnold is monitoring the velocity of the data, which refers to the speed at which data is generated and processed.

Question 17

The difference between tacit knowledge and explicit knowledge is
A) the first is carried in the mind and is difficult to access while the second has been expressed and can be stored and passed on.
B) the first is common to everyone while the second is not.
C) the first is theory while the second is technical.
D) the first is literary while the second is not.

Accepted Answer

Tacit knowledge refers to knowledge that is held in a person's mind and is difficult to articulate or transfer to others. It is often rooted in experience, intuition, and personal beliefs. On the other hand, explicit knowledge refers to knowledge that can be easily codified, articulated, and shared with others. It can be found in books, databases, and other forms of recorded information.

Question 18

What is the key to the sharing of tacit and explicit knowledge within and between organisations?
A) Knowledge services
B) Knowledge-management programs
C) Effective communication
D) Social networks

Accepted Answer

Effective communication is crucial for the sharing of both tacit and explicit knowledge within and between organizations. Clear and open communication channels can help transfer knowledge effectively and efficiently. Without effective communication, even the most well-designed knowledge services or programs may fail to facilitate knowledge sharing. Social networks also play a role in knowledge sharing, but effective communication is necessary to fully leverage their potential.

Question 19

The life cycle of big data is the sequence of stages that a particular unit of data goes through.

Accepted Answer

The life cycle of big data involves stages like capture, store, process, analyze and present.

Question 20

Last week, Doug bought a new tent, sleeping bag and lantern from an online retailer. Today, while using Instagram, he notices that the advertisements are featuring items such as boots, camping stoves and backpacks. Which of the following is influencing the advertisements Doug sees?
A) Recommendation engines
B) Internet of Things (IoT)
C) Chatbots
D) Privacy impact assessments (PIA)

Accepted Answer

Recommendation engines use data from a user's purchase history or browsing behavior to recommend similar products. In this case, since Doug purchased camping gear, the recommendation engine is displaying ads for related items like boots, camping stoves, and backpacks.

Quiz 12: Managing Big Data and Knowledge

Why is it important that organisations only collect necessary personal information?

Which of the following five Vs of big data refers to the diversity of sources, formats and dimensions of data?

A successful organisation achieves its business goals with a knowledge-management process by

Which step in the information life cycle is not a risk mitigation strategy?

Artificial intelligence programs that simulate interactive human conversation are known as

Big data analytics allow global financial markets to track current numbers and trends.

Charlene's job is to propose strategies that her organisation can use to monetise the data they collect. Charlene is concerned with

A person's digital footprint refers to

While big data analysis provides insights to customer-focused organisations, it has not yet proven to be useful in other areas of society.

Which of the following techniques for analysing big data enables the access, examination and integration of large amounts of historical data from multiple data sources?

Amazon's choices of suggested products that it displays to a consumer is based on a recommendation engine.

Infographics and user-friendly graphs and charts are features of the big data analysis technique known as data visualisation.

Tacit knowledge can be difficult to communicate to the rest of an organisation because it

Explicit knowledge is easier to communicate because it

The purpose of data visualisation is to access, examine and integrate large amounts of historical data from multiple data sources.

Arnold is a software developer for a popular social networking company. He is monitoring how many unique posts users generate per minute. Considering the five Vs of big data, which is Arnold most concerned with during this exercise?

The difference between tacit knowledge and explicit knowledge is

What is the key to the sharing of tacit and explicit knowledge within and between organisations?

The life cycle of big data is the sequence of stages that a particular unit of data goes through.

Last week, Doug bought a new tent, sleeping bag and lantern from an online retailer. Today, while using Instagram, he notices that the advertisements are featuring items such as boots, camping stoves and backpacks. Which of the following is influencing the advertisements Doug sees?