Which term describes extremely large datasets that traditional data processing methods can't handle?

Which term describes extremely large datasets that traditional data processing methods can't handle?

• A. Innovations
• B. Big Data
• C. Cipher
• D. Bit

Answer: (B)

This question tests understanding of data that’s so large or complex that traditional data processing tools can’t handle it. The term that fits is Big Data. Big Data describes datasets that are too big, fast, or diverse for normal methods, so they require new approaches like distributed computing and specialized frameworks (for example, Hadoop or Spark) to store, process, and analyze them. Context helps: the idea isn’t just size, but the challenges that come with volume, speed, and variety that push past what ordinary databases and scripts can manage. Other options don’t fit because they refer to unrelated concepts: innovations means new ideas or improvements; a cipher is about encryption; a bit is a single binary digit.

This question tests understanding of data that’s so large or complex that traditional data processing tools can’t handle it. The term that fits is Big Data. Big Data describes datasets that are too big, fast, or diverse for normal methods, so they require new approaches like distributed computing and specialized frameworks (for example, Hadoop or Spark) to store, process, and analyze them. Context helps: the idea isn’t just size, but the challenges that come with volume, speed, and variety that push past what ordinary databases and scripts can manage.

Other options don’t fit because they refer to unrelated concepts: innovations means new ideas or improvements; a cipher is about encryption; a bit is a single binary digit.