Big Data Intern Interview Questions

1,784 big data intern interview questions shared by candidates

Hadoop mapreduce how HDFS works, command to check if replicated data lost from partition how YARN works how Spark works, what happens after you submit a job HIVE and buckets RDD vs DataFrame vs DataSet monitoring tools for YARN
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Big Data Cloud Support Engineer

Interviewed at Amazon

3.5
Jul 16, 2020

Hadoop mapreduce how HDFS works, command to check if replicated data lost from partition how YARN works how Spark works, what happens after you submit a job HIVE and buckets RDD vs DataFrame vs DataSet monitoring tools for YARN

However, just because the interview is over doesn't mean your process should be. One step that many people skip in the job interview process is the review. Reviewing job interview is almost as important as the other steps. The review helps you realize what you did well, and what you could improve on
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Big Data Engineer

Interviewed at Amazon

3.5
Jun 25, 2021

However, just because the interview is over doesn't mean your process should be. One step that many people skip in the job interview process is the review. Reviewing job interview is almost as important as the other steps. The review helps you realize what you did well, and what you could improve on

FACT_ORDER_ITEM product_id, customer_id, view_day, item_price, quantity, page_view_id, is_ordered Note: This table gets 100M/day and has data for 5+years DIM_CUSTOMER customer_id, address, age, education Note: this table has 1B records We need to create geographic and demographic dashboards based on these weekly, monthly, and yearly tables, keeping in mind the huge volume of data within them for any joins
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Big Data Engineer

Interviewed at Amazon

3.5
Apr 7, 2025

FACT_ORDER_ITEM product_id, customer_id, view_day, item_price, quantity, page_view_id, is_ordered Note: This table gets 100M/day and has data for 5+years DIM_CUSTOMER customer_id, address, age, education Note: this table has 1B records We need to create geographic and demographic dashboards based on these weekly, monthly, and yearly tables, keeping in mind the huge volume of data within them for any joins

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