Meditab Software Data Engineer Interview Questions and Answers

Test kn logical reasons , date time , train , relationship questions.

Basic python questions

Q1. DSA Array, String and Hashmap questions
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Q2. Functional programming java questions
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Q1. Spring and spring boot related
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Q2. HLD scenario level questions
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Q3. SQL queries nested and joins
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Q4. DB related questions and experience level questions and previous project situations related questions
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Q5. Security level questions like XSS vulnerability and SQL injection
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Q1. They asked first question related to Spring security .
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Q2. Questions related to rest API Given scenario and asked approach
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Q3. Database related like procedures call in db and also in springboot
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Q4. Core java related to collections
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Q1. In second round , interviewer asked me to write logic for Array sort
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Q2. Singleton class
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Q3. Design pattern like singleton and factory , dao
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Q4. Spring data JPA , jdbc connection
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Q5. Hibernate annotation
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Q1. Related to projects what we had done
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Q2. Difficult situations what u face
Ans. 
Handling difficult situations by staying calm, analyzing the problem, and finding a solution.
• Remaining calm under pressure

• Identifying the root cause of the problem

• Collaborating with team members to brainstorm solutions

• Prioritizing tasks to address the issue efficiently
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Q3. Code standardization
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Q1. Write a Simple GET, POST Flask Application?
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Q2. Assign Values to a Cookie - Flask Application
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- Convert a given input of keys-values to value-keys using Python

The aptitude round was full of core related mcq

Q1. Sql based questions
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Q2. Project related questions
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It is noraml question

Basica questions for the coding

Q1. When can you join
Ans. 
I can join within 2 weeks of receiving an offer.
• I can start within 2 weeks of receiving an offer.

• My current notice period is 2 weeks.

• I am available to start immediately.
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Q1. Design Least recently used cache.
Ans. 
Design a Least Recently Used cache system.
• Implement a doubly linked list to keep track of the order of usage of cache items.

• Use a hashmap to store key-value pairs for quick access to cache items.

• When a new item is accessed, move it to the front of the linked list. If the cache is full, remove the least recently used item from the end of the list.
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