Innovaccer Interview Questions, Process, and Tips

SQL+CODING QUESTIONS

Q1. CODING QUESTION YOU NEEDED TO TELL YOUR APPROACH AND CODE THEN
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Q2. SQL QUESTIONS - THEORY + PREDICTING OUTPUT
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Q1. DSA + MANAGERIAL ROUND
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Q2. HR QUESTIONS ABOUT YOUR FUTURE
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Q1. Basic Question of mySQL like inner join,left join,right join,outer join.
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Q2. Windows function in MySQL and Basic DSA question on implementation of heap sort
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Q1. Discuss the project you are most proud of
Ans. 
Developed a mobile app for tracking personal fitness goals
• Used React Native to create a cross-platform app

• Implemented features such as goal setting, progress tracking, and workout logging

• Integrated with wearable devices like Fitbit for automatic data syncing
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Q2. What are ways to speed up SQL queries? List them in increasing order of complexity?
Ans. 
Ways to speed up SQL queries in increasing order of complexity
• Use indexes on columns frequently used in WHERE clauses

• Optimize queries by avoiding unnecessary joins and subqueries

• Use stored procedures to reduce network traffic and improve performance

• Consider denormalizing tables for frequently accessed data

• Use query optimization techniques like query caching and query hints
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Q3. Is Redis single-threaded or multi-threaded?
Ans. 
Redis is single-threaded.
• Redis is single-threaded, meaning it can only execute one command at a time.

• This design choice allows Redis to be extremely fast and efficient for certain use cases.

• However, it also means that Redis may not be the best choice for highly concurrent workloads.
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Q4. What sort of data types can be used as keys in Python?
Ans. 
Data types that can be used as keys in Python include strings, integers, floats, tuples, and custom objects.
• Strings are commonly used as keys in Python dictionaries.

• Integers and floats can also be used as keys.

• Tuples can be used as keys if they only contain immutable elements.

• Custom objects can be used as keys if they are hashable.

• Examples: {'name': 'John'}, {1: 'apple'}, {(1, 2): 'tuple'}
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Q5. What types of indexing exist in SQL?
Ans. 
Types of indexing in SQL include clustered, non-clustered, unique, and composite indexes.
• Clustered index physically reorders the table based on the index key

• Non-clustered index creates a separate structure for the index

• Unique index ensures that all values in the index column are unique

• Composite index uses multiple columns for indexing
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Q1. Solids conceps of oops , recurssion problem
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Solid understanding of OOP concepts and recursion problem-solving skills are essential for a Senior SDET Software Engineer role.
• OOP concepts include encapsulation, inheritance, polymorphism, and abstraction.

• Recursion is a technique where a function calls itself to solve a problem.

• Understanding how to break down a problem into smaller subproblems and solve them recursively is key.

• Examples of recursion problems include f...read more
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In given array find sum of 3 number equal to targetsum

Q1. Questions were completely based on data structures and algorithm
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Q2. SQL based questions were also asked
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Q1. Dense rank, rank and row number
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Q2. Self join HR data sql query
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Q1. DSA and some basic python and questions form resume
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Q2. DSA and some basic questions from databases and resume
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