DataTrained Information Technology Support Engineer Interview Questions and Answers for Freshers

Q1. Explain request lifecycle in rails?
Ans. 
Request lifecycle in Rails involves routing, controller actions, rendering views, and responding to the client.
• 1. Request comes in through the browser or API endpoint.

• 2. Rails router determines which controller and action to route the request to.

• 3. Controller action processes the request, interacts with the model, and prepares data for the view.

• 4. View template is rendered with the data from the controller.

• 5. Response ...read more
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Q2. Code Merge Sort using Ruby
Ans. 
Implement Merge Sort algorithm in Ruby
• Divide the array into two halves recursively

• Merge the sorted halves back together

• Use a helper method to merge the two halves
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Basic aptitude questions

Linked list, array, tree and graph questions

Coding test around front end using react

Two dynamic programming challenges at the hard level on LeetCode and 10 medium-level SQL challenge.

Python technical SQL basic

Q1. Check if string is palindrome
Ans. 
Check if a string is the same forwards and backwards
• Iterate through the string from both ends and compare characters

• Use built-in functions like reverse() to check for palindrome

• Ignore spaces and punctuation when checking for palindrome
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2.5 Hours 2 Coding que and sql query and topin tech platform

Q1. Based on boolean matrix
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Q2. Find k closest node of given given node in a BST.
Ans. 
Find k closest nodes to a given node in a BST.
• Perform an inorder traversal of the BST to get a sorted list of nodes.

• Use a priority queue to keep track of the k closest nodes based on their absolute difference with the target node.

• Populate the priority queue with the first k nodes from the inorder traversal.

• For each subsequent node, calculate its absolute difference with the target node and compare it with the top eleme...read more
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Two Medium DSA problem to solve

Q1. Design scalable Streaming pipeline and
Ans. 
Design a scalable streaming pipeline for processing large volumes of data.
• Use a distributed streaming framework like Apache Kafka or Apache Flink for real-time data processing.

• Implement data partitioning and parallel processing to handle high data throughput.

• Utilize cloud services like AWS Kinesis or Google Cloud Pub/Sub for scalability and reliability.

• Include fault tolerance mechanisms like checkpointing and data repl...read more
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Q1. LLD round , write classes and its methods
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Q1. Salary and benefits discussion
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