Practice Spark Streaming (DStreams) - 2.3.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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2.3.2 - Spark Streaming (DStreams)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a DStream?

πŸ’‘ Hint: Think about how Spark approaches continuous data.

Question 2

Easy

How does Spark Streaming handle incoming data?

πŸ’‘ Hint: Focus on the method used for processing data.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the role of DStreams in Spark Streaming?

πŸ’‘ 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

πŸ’‘ Hint: Consider the flexibility of data ingestion within Spark.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

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

Question 2

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

πŸ’‘ Hint: Think about how patterns in data can signal issues in financial transactions.

Challenge and get performance evaluation