Free Master of Data science Big Data Questions and Answers

Question 1

Which of the following terms best describes the illustration below?

Accepted Answer

Big Data

Answer

The term 'Big Data' refers to extremely large, complex, and diverse datasets that traditional data processing applications struggle to handle. It is characterized by the '3 Vs': Volume (immense amount of data), Velocity (speed of data generation and processing), and Variety (diverse types of data). An illustration depicting these characteristics would best be described as Big Data.

Question 2

Identify the accurate statement.

Accepted Answer

None of the above

Answer

Let's evaluate the statements: A) Data Cleaning focuses on identifying and correcting errors, not prediction. B) Representing data for insights is indeed both a science and an art (data visualization/communication). C) Machine learning focuses heavily on prediction based on learned properties from training data, especially in supervised learning. Given that B and C are largely accurate statements in general data science contexts, and A is clearly inaccurate, the instruction to identify the 'accurate statement' and the provided answer 'None of the above' suggests a very specific or nuanced interpretation where B and C are deemed insufficiently precise or universally true. However, without further context, C is generally considered an accurate description of a core ML focus.

Question 3

Which of the following big data traits is comparatively more important to data science?

Accepted Answer

Variety

Answer

While Volume, Velocity, and Veracity are all crucial traits of Big Data, Variety is often considered particularly important for data science. Data scientists frequently work with diverse data types—structured, semi-structured, and unstructured—from various sources. The ability to integrate, process, and derive insights from this heterogeneous data is a core challenge and strength of data science.

Question 4

Which of the following analytic skills does an information management organization offer?

Accepted Answer

All of the above

Answer

An information management organization, especially in the context of Big Data and data science, offers a range of analytic skills and capabilities. These include Information Integration (combining data from various sources), Content Management (organizing and managing diverse content), and Stream Computing (processing data in real-time as it arrives). All these are essential for effectively leveraging data.

Question 5

Identify the incorrect statement.

Accepted Answer

Big Data is just about lots of data

Answer

The statement 'Big Data is just about lots of data' is incorrect because Big Data is defined by more than just its immense volume. It also encompasses velocity (the speed at which data is generated and processed), variety (the diverse types of data), and often veracity (the quality and trustworthiness of the data). Reducing Big Data to merely its size misses these other critical dimensions.

MS-DS Master of Data science Practice Test

MS-DS Master of Data science Practice Test

Free Master of Data science Big Data Questions and Answers