1. What is the primary function of Apache Hadoop in Big Data processing?
Correct Answer: b) Distributed storage and processing of large datasets
Hadoop's HDFS provides distributed storage and MapReduce enables distributed processing, making it ideal for handling massive datasets across clusters of computers.
2. Which of these is a key advantage of using Tableau for Big Data analytics?
Correct Answer: b) Creating interactive visualizations without coding
Tableau excels at connecting to various data sources and enabling business users to create insightful dashboards through its drag-and-drop interface.
3. What makes R language particularly suitable for data science work?
Correct Answer: a) Its extensive collection of statistical packages
R has over 15,000 packages in CRAN specifically for statistical analysis, visualization, and machine learning, making it a data scientist's favorite tool.
4. What is the main benefit of running Big Data workloads in the cloud?
Correct Answer: c) Enables elastic scalability of computing resources
Cloud platforms like AWS, Azure, and GCP allow organizations to scale their Big Data infrastructure up or down based on demand, paying only for what they use.
5. How is Big Data transforming the healthcare industry?
Correct Answer: b) Through predictive analytics for disease outbreaks
Big Data enables analysis of patient records, genomic data, and environmental factors to predict epidemics, personalize treatments, and improve outcomes.
6. Which skill is most essential for a Data Engineer working with Big Data?
Correct Answer: b) Designing data pipelines and ETL processes
Data Engineers focus on building and maintaining the infrastructure that enables data collection, storage, processing, and analysis at scale.
7. What is the primary responsibility of a Machine Learning Engineer in a Big Data team?
Correct Answer: b) Designing and implementing predictive models
ML Engineers develop algorithms that learn from data to make predictions or decisions without being explicitly programmed for specific tasks.
8. Which tool would a Data Analyst most likely use for quick ad-hoc analysis of medium-sized datasets?
Correct Answer: a) Microsoft Excel
While limited for Big Data, Excel remains popular for quick analysis of datasets that fit in memory (up to ~1M rows) with its familiar interface and functions.
9. What is a key difference between a Data Scientist and a Business Intelligence Analyst?
Correct Answer: a) Data Scientists focus more on predictive analytics
While BI focuses on descriptive analytics (what happened), Data Science emphasizes predictive (what will happen) and prescriptive analytics (what should we do).
10. Which certification would be most relevant for someone working with Big Data on AWS?
Correct Answer: b) AWS Certified Data Analytics Specialty
This certification validates expertise in using AWS services (EMR, Redshift, Kinesis) to design and build Big Data solutions in the cloud.