5. How do you use Spark SQL to query data from a DataFrame? This question checks the candidate's ability to use Spark SQL for querying data, which is essential for data analysis tasks. Answer: # Register the DataFrame as a SQL temporary view df.createOrReplaceTempView("table") # Execute...
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Using DataFrames and Spark SQL can also make data processing a lot more efficient. Another tip is to cache data that you use frequently. This helps cut down on computation time. It’s also important to partition your data to evenly distribute the load across your clusters. Keep an eye on...
SQL (25 min): Complex joins, aggregations, and window functions on real-world schemas Python (25 min): Medium-difficulty problems involving strings, lists, and dictionaries You likely won’t finish every question—and that’s fine. What matters more is clarity of thought and clean, logical co...
There are many variations to this type of question. A different version would be about a specific ETL tool,“Have you had experienced with Apache Spark or Amazon Redshift?”If a tool is in the job description, it might come up in a question like this. One tip: Include any training, ho...
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Question System design topics: start here New to system design? First, you'll need a basic understanding of common principles, learning about what they are, how they are used, and their pros and cons. Step 1: Review the scalability video lecture ...
Why we cannot create Views on Temporary Tables? View:-94Question Posted on 24 Apr 2025 Why we cannot create Views on Temporary Tables? Below are the two main reasons why we can-not create view... Question Posted In : DataBase | sql questions True or False A customers perceptions, custome...
This workflow is still used today, but it’s been fading recently in favor ofSpark. The design pattern, however, forms the basis of most big data workflows and is a highly intriguing concept. You can read more on MapReduce atIBM Analytics. ...