Apache Spark Test 1

Question 1

The APIs for Apache Spark are

Accepted Answer

All of the above

Answer

Apache Spark provides high-level APIs in multiple programming languages to allow a broad range of developers to interact with its functionalities. These include Python (PySpark), Java, and Scala, making it versatile for different development environments. This broad support enhances its accessibility and adoption.

Question 2

Which language is used to create Spark?

Accepted Answer

Scala

Answer

Apache Spark was originally written in Scala, a powerful functional and object-oriented programming language. While it offers APIs in other languages, Scala remains its native and often most performant language for development. This foundational choice contributes to Spark's efficiency.

Question 3

Spark Streaming's fundamental abstraction is

Accepted Answer

Dstream

Answer

DStream (Discretized Stream) is the fundamental abstraction in Spark Streaming, representing a continuous stream of data. Internally, a DStream is represented as a sequence of RDDs, where each RDD contains data from a small time interval. This abstraction allows Spark to process live data in micro-batches.

Question 4

What is Apache Spark's abstraction?

Accepted Answer

RDD and Shared Variable

Answer

Apache Spark's core abstractions are Resilient Distributed Datasets (RDDs) and Shared Variables. RDDs are immutable, fault-tolerant, distributed collections of objects, while Shared Variables (like accumulators and broadcast variables) allow for efficient sharing of data across tasks. These two abstractions form the backbone of Spark's distributed computing model.

Question 5

What types of data can be used in Spark Streaming?

Accepted Answer

All of the above

Answer

Spark Streaming is designed to process live data streams from various sources. It supports integration with popular streaming data sources such as Apache Kafka, Amazon Kinesis, and Apache Flume, allowing for flexible real-time data ingestion. This versatility makes it suitable for diverse streaming analytics scenarios.

Apache Spark Practice Test

Apache Spark Practice Test

Apache Spark Test 1