WorksheetsQuiz on Data Analytics - Introduction to Big Data
Total questions: 10
Worksheet time: 10mins
1. What is one of the main challenges of conventional data systems that led to the emergence of Big Data platforms?
a) Lack of user-friendly interfaces
b) Limited storage capacity
c) Inability to handle high-velocity data
d) Poor documentation
2. Which of the following best describes the concept of "analytic scalability"?
a) The ability of analytic processes to handle a growing volume of data without performance degradation
b) The ability to generate accurate statistical reports
c) The ability to integrate multiple data sources into one system
d) The ability to visualize data in real-time
3. Which of these is NOT a modern data analytic tool?
a) Hadoop
b) Spark
c) MySQL
d) PowerPoint
4. How does "analysis" differ from "reporting" in data analytics?
a) Analysis focuses on raw data, while reporting focuses on visualizations
b) Analysis involves drawing insights, while reporting involves presenting facts
c) Analysis uses structured data, while reporting uses unstructured data
d) Analysis is static, while reporting is dynamic
5. What is the primary focus of sampling distributions in statistical analysis?
a) Estimating the population mean
b) Understanding the distribution of a sample statistic
c) Creating visual representations of data
d) Simplifying large datasets
6. Which of the following describes "resampling" in statistical concepts?
a) Dividing data into equal-sized chunks for processing
b) Randomly selecting subsets of data to estimate a population parameter
c) Generating new variables by combining existing ones
d) Normalizing data to a specific range
7. What is "prediction error" in the context of data analytics?
a) The error that occurs during data collection
b) The difference between observed and predicted values
c) The incorrect application of statistical models
d) The inability to predict future trends
8. Which statistical inference method helps to determine the likelihood of an event occurring based on sample data?
a) Hypothesis testing
b) Descriptive statistics
c) Data visualization
d) Clustering
9. What was one of the key drivers for the evolution of web data analytics?
a) The rise of cloud computing
b) The popularity of social media platforms
c) The rapid development of HTML standards
d) The emergence of IoT devices
10. Which of the following best represents a use case for modern data analytic tools?
a) Calculating payroll for employees
b) Performing sentiment analysis on social media data
c) Printing invoices for customers
d) Managing inventory in a small warehouse
