Practice Spark Streaming (dstreams) (2.3.2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Spark Streaming (DStreams)

Practice - Spark Streaming (DStreams)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a DStream?

💡 Hint: Think about how Spark approaches continuous data.

Question 2 Easy

How does Spark Streaming handle incoming data?

💡 Hint: Focus on the method used for processing data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the role of DStreams in Spark Streaming?

💡 Hint: Think of how data is managed in real-time scenarios.

Question 2

True or False: Spark Streaming cannot process data from multiple sources simultaneously.

True
False

💡 Hint: Consider the flexibility of data ingestion within Spark.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a small Spark Streaming application that ingests tweets containing specific hashtags and performs sentiment analysis on them.

💡 Hint: Consider how to configure DStreams for fetching data from Twitter's API.

Challenge 2 Hard

Explain how Spark Streaming can be implemented in a financial services application to detect anomalies in transaction data.

💡 Hint: Think about how patterns in data can signal issues in financial transactions.

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Reference links

Supplementary resources to enhance your learning experience.