Quantzig Data Engineer Interview Questions and Answers

Q1. Join, adf related questions
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Q2. Databricks basics related questions
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It was nice focus on quantitative and logical reasoning in aptitutude section

Q1. Installation and upgradation steps
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Q2. Patching and performance tuning
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Q1. Table space is full what action need to take
Ans. 
Free up space by deleting unnecessary data or increasing table space size.
• Identify which table space is full

• Check if there are any unnecessary data that can be deleted

• Increase the size of the table space if necessary

• Consider partitioning the table to distribute data across multiple table spaces
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Q2. Datafile addition to tablespace
Ans. 
Adding a datafile to a tablespace
• Use ALTER TABLESPACE statement to add datafile

• Ensure enough disk space is available

• Monitor tablespace usage regularly

• Example: ALTER TABLESPACE users ADD DATAFILE '/u01/app/oracle/oradata/db1/users02.dbf' SIZE 50M;
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Q3. How to add datafile to tablespace
Ans. 
To add a datafile to a tablespace:
• Identify the tablespace where the datafile needs to be added

• Create a new datafile using the 'CREATE DATAFILE' command

• Add the new datafile to the tablespace using the 'ALTER TABLESPACE' command

• Ensure that the new datafile is of the correct size and location
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Normal Group discussion

Q1. Cosing, project management etc
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Q1. What is coalesce
Ans. 
Coalesce is a function used to return the first non-null value in a list of expressions.
• Coalesce function is commonly used in SQL to handle null values.

• It takes multiple arguments and returns the first non-null value.

• Example: COALESCE(column1, column2, 'default') will return the value of column1 if not null, else column2, and if both are null, it will return 'default'.
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Q2. What is repartition
Ans. 
Repartition is the process of redistributing data across partitions in a distributed system.
• Repartitioning helps in balancing the workload and improving performance in distributed computing environments.

• It involves moving data between partitions based on certain criteria such as key values or hash functions.

• Repartitioning can be done in Spark using operations like repartition() or coalesce().
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Q1. Non repeatable character
Ans. 
A non repeatable character is a character that appears only once in a given string.
• Iterate through the string and count the frequency of each character

• Identify the characters that have a frequency of 1

• Return the first non repeatable character found
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Q2. Sort list without sort method
Ans. 
Sort list without using sort method
• Create a custom sorting function using loops

• Compare each element with every other element to determine the correct order

• Swap elements based on the comparison results
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