Define and Describe the Characteristics of Big Data DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 1)

Questions 1–5

1. 1application · easy

   A financial services firm is migrating its historical transaction archive to a new analytics platform. The archive contains 20 years of records, totaling over 10 petabytes, and the firm needs a distributed storage solution that can scale horizontally. Which characteristic of Big Data is the primary driver for choosing this type of architecture?

   • AVelocity, because the data is generated continuously
   • BVolume, because the massive scale of data requires a scalable storage solution
   • CVariety, because transactions have many fields
   • DVeracity, because the data must be accurate for compliance
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which characteristic of Big Data is best described as the massive scale of data generated and stored?

   • AVelocity
   • BValue
   • CVariety
   • DVolume
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   An e-commerce company is moving from a traditional relational database to a data lake to store all its raw data. The company's current database is struggling with performance because it now holds billions of rows of transaction history, user activity logs, and product catalog snapshots. Which characteristic of Big Data is the company experiencing that is driving this architecture change?

   • AVolume, because the scale of data has exceeded the capacity of the traditional database
   • BVeracity, because the data may contain errors
   • CVelocity, because the data is being written continuously
   • DVariety, because the data includes transactions, logs, and catalogs
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   Which Big Data characteristic addresses the uncertainty and quality of data, including issues of accuracy and reliability?

   • AValue
   • BVolume
   • CVariety
   • DVeracity
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A healthcare analytics team is building a patient outcomes model. They are combining data from electronic health records (EHRs), wearable device logs, and patient-reported surveys. The team notices that the wearable device data contains many gaps and inconsistent readings, and the survey responses are subjective. Before building the model, the team must decide how to handle these imperfections. Which characteristic of Big Data is the team addressing?

   • AVariety, because the data comes from different sources
   • BVeracity, because the data has uncertainty and quality issues that must be resolved
   • CVolume, because the combined dataset is large
   • DValue, because the data must produce meaningful insights
   Reveal Solution Discussion Select an answer first