Understanding Big Data and IT Management

What is the definition of big data?

• Small datasets that can be processed on a single machine

• Large and complex datasets that require advanced tools for processing

• Data that is stored in a traditional database

• Data that is only used for scientific research

Which of the following describes the concept of "volume" in big data?

• The speed at which data is generated and processed

• The variety of data types and sources

• The amount of data being generated and stored

• The accuracy of the data

Why is big data considered useful?

• It is always accurate and reliable

• It provides insights and patterns that can drive decision-making

• It is easy to manage and requires no special tools

• It is only useful for large corporations

What is a common method for analyzing big data?

• Using a simple spreadsheet

• Employing advanced analytics and machine learning algorithms

• Manually reviewing each data point

• Ignoring the data and relying on intuition

Which of the following is an example of big data?

• A single Excel spreadsheet

• A database of a small local business

• Social media data from millions of users

• A personal diary

What is multidimensional data?

• Data that only has one attribute

• Data that can be represented in multiple dimensions or perspectives

• Data that is always stored in a cloud

• Data that is only used in scientific research

What is the correct order of the bytes hierarchy from smallest to largest?

• Kilobyte, Megabyte, Gigabyte, Terabyte

• Megabyte, Kilobyte, Terabyte, Gigabyte

• Terabyte, Gigabyte, Megabyte, Kilobyte

• Gigabyte, Terabyte, Kilobyte, Megabyte

What is the concept of a problem domain?

• The area of expertise required to solve a problem

• The specific area of interest or focus for a particular problem

• The geographical location where a problem occurs

• The financial cost associated with solving a problem

What is master data management?

• The process of managing transactional data

• The process of managing critical business data to provide a single point of reference

• The process of managing data backups

• The process of managing data security

In which circumstance is master data management necessary?

• When data is only used by one department

• When data is not critical to business operations

• When data is shared across multiple systems and departments

• When data is only used for temporary projects