Innovaccer Interview Questions, Process, and Tips

Q1. SLQ basic questions
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Q2. SQL Joins
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Q1. SQL qeus to find 5th max salary of an employee from employee_table.
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Q2. Find avg salary of employees for each department & order employee within a department by age.
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Q3. Different between SLA & OLA
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Q4. Views AND Triggers in SQL
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Q1. SQL Functions, Range, Rank, Dense Rank questions
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Q2. Ticket Management
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Q1. Managerial Round
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Q2. Work Experience
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Q1. Compensation Discussion
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Q1. What is the SQL query used to remove duplicates from a dataset?
Ans. 
Use the DISTINCT keyword in a SELECT query to remove duplicates from a dataset.
• Use the SELECT DISTINCT statement to retrieve unique rows from a table

• Example: SELECT DISTINCT column1, column2 FROM table_name;

• Another way is to use the GROUP BY clause with aggregate functions like COUNT() or SUM() to remove duplicates
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Q2. What is the SQL query to find the third highest salary in a table?
Ans. 
Use a subquery to find the third highest salary in a table using SQL.
• Use the ORDER BY clause to sort the salaries in descending order.

• Use the LIMIT clause to limit the results to the third row.

• Use a subquery to select the third highest salary from the sorted list.
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Q1. What are the different roles in Power BI?
Ans. 
Different roles in Power BI include Power BI Developer, Power BI Analyst, Power BI Administrator, and Power BI User.
• Power BI Developer - responsible for creating and maintaining Power BI reports and dashboards

• Power BI Analyst - analyzes data using Power BI to provide insights and recommendations

• Power BI Administrator - manages security, access, and data sources in Power BI

• Power BI User - consumes reports and dashboards
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Q2. SQL - basicand advanced questions
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Q1. Introduce yourself!
Ans. 
I am a Data Ops Engineer with a strong background in data management and automation.
• Experienced in setting up data pipelines and ETL processes

• Proficient in SQL, Python, and cloud platforms like AWS

• Skilled in troubleshooting and optimizing data workflows
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Q2. Simple SQL questions
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Q1. Introduce yourself!
Ans. 
I am a Data Ops Engineer with experience in managing data pipelines, ensuring data quality, and optimizing data processes.
• Experienced in building and maintaining data pipelines

• Skilled in data quality assurance and data governance

• Proficient in optimizing data processes for efficiency

• Familiar with tools like Apache Airflow, AWS Glue, and SQL databases
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Q2. Details about the communication process in case issues are ongoing and you need to communicate the same to stakeholders.
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Q1. Introduce yourself!
Ans. 
I am a Data Ops Engineer with a strong background in data management and automation.
• Experienced in setting up and maintaining data pipelines

• Proficient in scripting languages like Python and SQL

• Skilled in data quality monitoring and troubleshooting

• Familiar with cloud platforms like AWS and GCP
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Q2. Why healthcare sector and why Innovaccer ?
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Q1. Current salary split.
Ans. 
My current salary is split between base salary and bonuses.
• Base salary makes up 70% of my total salary

• Bonuses make up the remaining 30%

• For example, if my total salary is $100,000, my base salary would be $70,000 and bonuses would be $30,000
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Q2. Expected salary for the location.
Ans. 
I am looking for a competitive salary based on my experience and skills in the industry.
• Research the average salary range for Data Ops Engineers in the specific location

• Consider your years of experience and relevant skills when determining your expected salary

• Be prepared to negotiate based on the company's budget and benefits package
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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. 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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