Test on Data and Big Data Fundamentals

Question 1: Big Data is primarily defined as data that can be reasonably processed and stored with traditional tooling on a single computer.

A. Ano

B. Ne

Explanation: The study materials define Big Data as data that is too large to reasonably process or store with traditional tooling or on a single computer, and that cannot be stored or processed by conventional data storage or processing equipment.

Question 2: Which of the following statements accurately describe key aspects of Big Data Veracity and Big Data Value?

A. Big Data Veracity primarily deals with the quality of data, including its inconsistency, incompleteness, and accuracy.

B. Big Data Value is focused on the pace at which data is generated and processed.

C. Big Data Value aims to derive benefits for the organization, such as economy and profit.

D. Big Data Veracity is concerned with the amount of data collected, often measured in hundreds of gigabytes or terabytes.

Explanation: Big Data Veracity addresses the quality of data, including issues like inconsistency, incompleteness, and accuracy from various sources. Big Data Value, on the other hand, is about obtaining tangible benefits for the organization, such as economic gains and profit, from the data. The pace of data generation and processing refers to Big Data Velocity, while the amount of data refers to Big Data Volume.

Question 3: FAIR principles for data aim to make it Findable, Accessible, Interoperable, and Reusable.

A. Ano

B. Ne

Explanation: The study materials state that FAIR principles for data are Findable, Accessible, Interoperable, and Reusable.

Question 4: Private for-profit companies are explicitly listed as organizations that publish open data in the provided study materials.

A. Ano

B. Ne

Explanation: The study materials specify that 'Government and public organizations', 'Non-profit organizations', and 'International organizations' publish open data. Private for-profit companies are not mentioned in this list.

Question 5: According to Tim Berners-Lee's 5-star Open Data model, which of the following criteria are correctly matched with their star rating?

A. 1-star: Make your stuff available on the Web in any format under an open license.

B. 2-star: Make it available as structured data (e.g., Excel instead of image scan of a table).

C. 4-star: Link your data to other data to provide context.

D. 5-star: Use URIs to denote things, so that people can point at your stuff.

Explanation: The 1-star rating states to 'make your stuff available on the Web (whatever format) under an open license'. The 2-star rating requires making data available as structured data (e.g., Excel instead of image scan of a table). The 4-star rating is for using URIs to denote things, so people can point at your stuff, not linking data to other data. The 5-star rating is for linking your data to other data to provide context, not using URIs.