Data Processing Batch Processing and Real-Time Processing

Question 1

What is batch processing in data systems?

Accepted Answer

Collecting and processing large volumes of data at scheduled intervals

Answer

Processing each record immediately as it arrives

Answer

Processing data only on user request

Answer

Encrypting data in small groups

Question 2

What is stream processing in data systems?

Accepted Answer

Processing data continuously as it arrives event by event in near real-time

Answer

Downloading video streams from the internet

Answer

Archiving data to tape storage

Answer

Running batch jobs on a fixed schedule

Question 3

Which framework is widely used in the US for large-scale batch processing on distributed systems?

Accepted Answer

Apache Hadoop MapReduce

Answer

Microsoft Excel

Answer

Adobe Acrobat

Answer

Google Docs

Question 4

What is a key advantage of batch processing over real-time processing?

Accepted Answer

Ability to process very large volumes efficiently at lower cost

Answer

Lower latency

Answer

Immediate results for every event

Answer

Better for fraud detection alerts

Question 5

What is micro-batch processing?

Accepted Answer

Collecting small batches of data over very short intervals (seconds) for near-real-time processing

Answer

Processing one record at a time with no delay

Answer

A synonym for full batch processing

Answer

Encrypting data in micro-second intervals

Question 6

In batch processing, what is a job scheduler responsible for?

Accepted Answer

Triggering batch jobs at defined times or when specific conditions are met

Answer

Encrypting data at rest

Answer

Managing user authentication

Answer

Compressing output files