1. Difference between shallow copy and deep copy 2. How can you merge two dataframes with different column names 3. Regex question to find all the characters and numbers of particular length size 4. Spark fundamentals

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1. Shallow copy creates a new object but does not duplicate nested objects. Deep copy creates a new object and duplicates all nested objects. 2. Merging dataframes with different column names requires renaming columns. 3. Regex can be used to find characters and numbers of a specific length. 4. Spark fundamentals involve understanding distributed computing and data processing.

Shallow copy: new object with same references to nested objects. Deep copy: new object with duplicated nested objects.
Merging dataframes: rename columns to match before using merge functions.
Regex for specific length: use pattern matching with quantifiers for characters and numbers of desired length.
Spark fundamentals: understanding distributed computing, RDDs, transformations, actions, and data processing operations.

1. Difference between shallow copy and deep copy 2. How can you merge two dataframes with different column names 3. Regex question to find all the characters and numbers of particular length size 4. Spark fundamentals

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