Define and Describe the Characteristics of Big Data DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Why is Big Data significant in the field of data science?

   • AIt eliminates the need for data cleaning and preprocessing.
   • BIt guarantees that all business decisions will be correct and profitable.
   • CIt replaces the need for domain expertise in data science projects.
   • DIt enables the discovery of patterns and insights that were previously hidden in smaller, less varied datasets.
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A ride-sharing company is analyzing its data to improve driver dispatch. The company has two data pipelines: one that processes trip data in real-time to match drivers with riders, and another that runs nightly batch jobs to analyze historical trends. The company's CTO wants to invest in a new technology that can handle both workloads efficiently. The team is evaluating a stream processing framework and a batch processing framework. The CTO decides that the stream processing framework is the better investment. Which characteristic of Big Data is the CTO prioritizing in this decision?

   • AVeracity, because the trip data must be accurate
   • BVolume, because the trip data is massive
   • CVariety, because the trip data comes in different formats
   • DVelocity, because the real-time trip matching requires high-speed processing
   Reveal Solution Discussion Select an answer first
4. 8application · easy

   A marketing analytics team is preparing to analyze customer feedback. The dataset includes structured data from a CRM (customer IDs, purchase amounts), semi-structured data from JSON logs of website interactions, and unstructured data from social media posts and call center transcripts. The team needs to select a storage and processing approach that can handle all these formats. Which characteristic of Big Data is the team accommodating?

   • AValue, because the feedback will drive marketing decisions
   • BVolume, because the dataset is large
   • CVariety, because the data includes structured, semi-structured, and unstructured forms
   • DVelocity, because the data is collected in real time
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   Which Big Data characteristic describes the potential to derive meaningful insights and business benefits from data?

   • AValue
   • BVeracity
   • CVolume
   • DVelocity
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A logistics company has collected years of GPS tracking data from its fleet. After cleaning the data and addressing the many missing and erroneous readings, the analytics team builds a route optimization model that reduces fuel costs by 15%. Which characteristic of Big Data is demonstrated by the final outcome of this project?

   • AVelocity, because the GPS data was generated continuously
   • BVolume, because the GPS data collected over years is extensive
   • CVeracity, because the data had missing and erroneous readings
   • DValue, because the analysis produced a measurable business benefit
   Reveal Solution Discussion Select an answer first