Describe the Technological Challenges Posed by Big Data DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A data visualization team is tasked with creating a dashboard for a telecommunications company to show network performance. The data includes millions of call detail records (CDRs) with many dimensions (time, location, device type, etc.). The team finds that traditional line and bar charts become unreadable and slow to render. What is the most effective approach to address this visualization challenge?

   • AReduce the number of dimensions in the data to simplify the visualization.
   • BUse a 3D chart to show more dimensions at once.
   • CPre-aggregate the data and use interactive visualizations that allow drill-down and filtering.
   • DDisplay all the raw data points on a single scatter plot.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   What is a primary challenge in processing and analyzing Big Data within acceptable time frames?

   • AData is always stored in a single format.
   • BThe sheer volume of data can make processing take too long with traditional methods.
   • CData is always clean and ready for analysis.
   • DProcessing tools are always fast enough.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which characteristic of Big Data is most directly associated with the challenge that the sheer amount of data exceeds the capacity of traditional storage and processing systems?

   • AVolume
   • BVeracity
   • CVelocity
   • DVariety
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5. 9application · medium

   A logistics company has successfully stored terabytes of shipment tracking data in a data lake. However, the operations team complains that they cannot find any useful information in it, and the data scientists spend most of their time just preparing the data rather than building models. Which Big Data challenge is the company failing to address?

   • AVariability challenge; the data format changes too frequently.
   • BValue challenge; the data is stored but not being converted into actionable insights for the business.
   • CVelocity challenge; the data is not being ingested fast enough.
   • DVolume challenge; the data lake is too large and needs to be downsized.
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   What is a key challenge in visualizing large and complex datasets?

   • AEnsuring the visualization is always a bar chart.
   • BEnsuring the visualization is stored in a database.
   • CAvoiding visual clutter and information overload.
   • DEnsuring the visualization is created manually.
   Reveal Solution Discussion Select an answer first