Module Lead Software Engineer

Module Lead Software Engineer Interview Questions and Answers

Updated 13 Jul 2025
5d ago

Q. Mutithreading nd hhow to use future completable future

Ans.

Multithreading allows concurrent execution of multiple threads. Future and CompletableFuture are used for asynchronous programming.

  • Multithreading enables parallel processing of tasks

  • Future is used to represent a result that may not be available yet

  • CompletableFuture is a subclass of Future that provides more flexibility and functionality

  • CompletableFuture can be used to chain multiple asynchronous tasks

  • CompletableFuture can also be used to handle exceptions and timeouts

6d ago

Q. Write a Spark program to count the occurrences of each word in a dataframe and sort the words in descending order based on their occurrence count.

Ans.

Spark wordcount and sort in descending order with their number occurrence in dataframe

  • Read text file into dataframe using spark.read.text()

  • Split each line into words using split() function

  • Use groupBy() and count() functions to count the occurrence of each word

  • Sort the resulting dataframe in descending order using orderBy() function

  • Show the resulting dataframe using show() function

5d ago

Q. How do you find the intersection point of two arrays?

Ans.

Find the intersection point of two arrays of strings.

  • Convert arrays to sets to find common elements

  • Iterate through one array and check if element exists in the other array

  • Use built-in intersection method in Python

  • Sort arrays and use two pointers to find common elements

5d ago

Q. How do you implement a stack using two queues?

Ans.

To create a stack from two queues, we need to use one queue for storing elements and the other for temporary storage.

  • Push elements into the first queue

  • When popping, move all elements except the last one to the second queue

  • Pop the last element from the first queue and return it

  • Swap the names of the two queues to make the second queue the first one

Are these interview questions helpful?
4d ago

Q. How do you optimize Spark performance?

Ans.

Performance optimization of Spark involves tuning various parameters and optimizing code.

  • Tune memory allocation and garbage collection settings

  • Optimize data serialization and compression

  • Use efficient data structures and algorithms

  • Partition data appropriately

  • Use caching and persistence wisely

  • Avoid shuffling data unnecessarily

  • Monitor and analyze performance using Spark UI and other tools

Module Lead Software Engineer Jobs

Qmoniqs Software logo
Module Lead Software Engineer 7-9 years
Qmoniqs Software
0.0
Noida

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