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Understanding Load Balancers in Web Application Architecture DevOps Engineer @ Amazon Difficulty medium

Explain what a load balancer is and its uses in a modern web application architecture. Discuss the types of load balancers, their benefits, and provide examples of how they can be used to improve performance and reliability.

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Apache Pig Script for LCS Problem with Hadoop and Machine Learning Integration Data Engineer @ Yahoo Difficulty hard

Create an Apache Pig script to solve a Longest Common Subsequence (LCS) problem using data stored in Hadoop HDFS. Additionally, describe how you would integrate this data processing with a machine learning model to predict the likelihood of sequences being similar in future data streams.

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Big Data Concepts in Hadoop and Spark Data Engineer @ Yahoo Difficulty medium

Explain how Hadoop and Apache Spark handle big data processing. What are the main differences between the two frameworks? Provide examples of use cases where each would be more suitable.

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Difference Between Reduce and GroupBy Functions in Spark Data Engineer @ Yahoo Difficulty medium

In the context of Apache Spark, explain the difference between the reduce function and the groupBy function. Provide examples of when you would use each.

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Processing Large Data Sets Using Apache Spark Data Engineer @ Google Difficulty hard

You have a large dataset stored in a distributed file system like HDFS, and you need to perform complex transformations and aggregations. Explain how you would use Apache Spark to process this dataset. Provide an example of a Spark job that calculates the average value of a specific column.

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Basics of Pig and Oozie in Hadoop Ecosystem Data Engineer @ Yahoo Difficulty medium

Describe the basic concepts of Apache Pig and Apache Oozie in the Hadoop ecosystem. What are their primary functions and how do they fit into the big data processing workflow?

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