Data Processing Batch Processing and Real-Time Processing 3

Question 1

What is the Lambda architecture in data processing?

Accepted Answer

A design pattern combining batch and speed (stream) layers to serve both historical and real-time queries

Answer

A serverless compute service by AWS

Answer

A graph database query language

Answer

A caching layer for relational databases

Question 2

What is the Kappa architecture in data processing?

Accepted Answer

A simplified architecture that uses only a streaming layer to handle both real-time and reprocessed historical data

Answer

An architecture using only batch processing

Answer

A database replication strategy

Answer

A file compression algorithm

Question 3

What is backpressure in stream processing systems?

Accepted Answer

A flow control mechanism where a slow consumer signals a fast producer to slow down

Answer

The physical pressure on storage drives

Answer

Data compression applied during streaming

Answer

A security feature that blocks unauthorized streams

Question 4

In data processing, what does throughput measure?

Accepted Answer

The volume of data or records processed per unit of time

Answer

The time to process a single record

Answer

The compression ratio of output files

Answer

The number of active database connections

Question 5

What is checkpointing in stream processing?

Accepted Answer

Periodically saving the processing state so the system can resume from that point after a failure

Answer

Creating database backups daily

Answer

Validating data format at each processing step

Answer

Encrypting intermediate results

Question 6

What distinguishes near-real-time processing from true real-time processing?

Accepted Answer

Near-real-time has a slight delay (seconds to minutes); true real-time has sub-millisecond latency

Answer

Near-real-time uses encryption; true real-time does not

Answer

Near-real-time only processes structured data

Answer

True real-time only works on local machines