StudentAidUnit 9: Data Science and Data Gathering — Mcqs
9th Class Computer Science · Unit 9: Data Science and Data Gathering
0 of 0 answered
0 correct
Data & Its Analysis
1.How many types of data analysis are available?
2.Which statistical measure provides a measure of the central tendency of a dataset?
3.What is the primary function of data collection in the context of data science?
- a Data analysis
- b Data storage
- c Data generation
- d Data retrieval
4.Which industry heavily relies on IoT for supply chain optimization and resource allocation?
- a Healthcare
- b Finance
- c Retail
- d Transportation
5.What is the primary purpose of data visualization in data science?
- a Data Collection
- b Data exploration
- c Extracting insights
- d Data modeling
6.Which type of data attribute represents categories with a specific order but inconsistent intervals between them?
7.Which of the following is an example of interval scaled attribute?
Big Data
8.Which of the following is not one of the characteristics of big data?
9.Which is one of the key applications of big data in business?
10.How does data science add value to big data?
11.In the context of big data, what does the 3Vs refer to?
Data Science
12.Which of the following key concepts involves transforming raw data into a structured format that is suitable for analysis?
13.What is the role of domain knowledge in data science?
14.Which big data technology is commonly used to store and process large datasets in a distributed manner?
15.Which of the following best describes the concept of big data?
16.What is the primary challenge associated with traditional data processing techniques when dealing with big data?
17.Which programming language is commonly used for big data analytics and machine learning tasks?
18.What is the primary purpose of data preprocessing in big data analytics?
19.__________ is a structured or processed collection of data usually associated with a unique body of work.
20.__________ refers to the process of carefully examining and studying data to identify patterns, draw conclusions, or make the data meaningful.
21.__________ is the graphical representation of data through use of common charts, plots, infographics and animations
22.__________ is the fast rate at which data is received and acted on.
23.__________ includes the data which can only take certain values and cannot be further subdivided into smaller units.
24.__________ is limitation of big data.
25.Customer satisfaction level such as satisfied, dissatisfied, and neutral are examples of __________ data type.
26.__________ is a method of collecting information from individuals.