Practice Streaming Analytics (3.2.2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Streaming Analytics

Practice - Streaming Analytics

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Practice Questions

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Question 1 Easy

What is Streaming Analytics?

💡 Hint: Think about integrating data as it is generated.

Question 2 Easy

Name a key feature of Apache Kafka.

💡 Hint: Consider how it manages multiple data streams.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Apache Kafka primarily facilitate?

Data storage
Data analysis
Data streaming

💡 Hint: Think about the operations Kafka manages in real-time.

Question 2

True or False: Kafka messages are stored in an ordered manner.

True
False

💡 Hint: Consider how messages are displayed and accessed in Kafka.

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Challenge Problems

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Challenge 1 Hard

Describe how you would implement a real-time analytics dashboard using Apache Kafka and what considerations you would need to take into account regarding scalability and fault tolerance.

💡 Hint: Think about how users will interact with real-time data and what data accuracy means for the dashboard.

Challenge 2 Hard

Evaluate the performance differences between traditional ETL processes and real-time data processing using Kafka. Consider aspects like data freshness, processing speed, and system complexity.

💡 Hint: Consider how data visibility matters for businesses in today's fast-paced environment.

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