What is the purpose of checkpointing in Spark Streaming?

To synchronize the clocks of worker nodes

To periodically save the state of the streaming computation to reliable storage

To increase the processing speed of micro-batches

To reduce the memory usage of the streaming application

A financial services firm currently uses Spark Streaming (DStreams) to process real-time transaction data. They want to run ad-hoc SQL queries on the streaming data and also join it with historical batch data stored in Parquet. They are considering migrating to Structured Streaming. Which benefit of Structured Streaming directly addresses this requirement?

It eliminates the need for checkpointing, simplifying recovery.

It guarantees exactly-once processing for all sink types by default.

It automatically scales the number of receivers to match the input rate.

It provides a unified DataFrame/Dataset API that supports both streaming and batch data with SQL queries.

In Spark Streaming, what is a DStream?

A sequence of RDDs, each representing a micro-batch of data

A SQL table that is continuously updated with new data

A distributed dataset that is stored in memory for batch processing

A continuous stream of data that is processed record by record

Dell Data Engineering Optimize

Domain 5Objective 4

Describe Apache Spark - Streaming Processing and Architecture DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 3)

Part of the Processing Streaming and IoT Data domain, which accounts for 20% of the DATA-ENGINEERING-OPTIMIZE exam.

28questions here

6free pages

6concepts

20%of the exam

Questions 11–15

11foundation · easy
What is the purpose of checkpointing in Spark Streaming?
Select an answer first
12foundation · easy
Which component in Spark Streaming is responsible for receiving data from external sources?
Select an answer first
13application · medium
A financial services firm currently uses Spark Streaming (DStreams) to process real-time transaction data. They want to run ad-hoc SQL queries on the streaming data and also join it with historical batch data stored in Parquet. They are considering migrating to Structured Streaming. Which benefit of Structured Streaming directly addresses this requirement?
Select an answer first
14application · medium
A company wants to build a real-time dashboard that shows live metrics from social media feeds. They plan to use Apache Spark. Which component of the Spark ecosystem is designed for this?
Select an answer first
15foundation · easy
In Spark Streaming, what is a DStream?
Select an answer first

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Describe Apache Spark - Streaming Processing and Architecture DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 3)

Questions 11–15

What is the purpose of checkpointing in Spark Streaming?

Which component in Spark Streaming is responsible for receiving data from external sources?

A company wants to build a real-time dashboard that shows live metrics from social media feeds. They plan to use Apache Spark. Which component of the Spark ecosystem is designed for this?

In Spark Streaming, what is a DStream?

Keep studying — Processing Streaming and IoT Data