Innovaccer Data Operations Engineer Interview Questions and Answers

Q1. Basicn details to check for qualifications
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Q1. About my projects
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Q1. More details about ML models
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Written test, asked general question for testing our skills

Q1. Asked about me and why you are choosing our company
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Q2. Asked regarding my internship project
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Q1. Asked my goals and future planning
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Q2. Asked about my weakness and strength
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Q1. Cache vs persist
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Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.
• Cache is typically faster as it stores data in memory for quick access.

• Persist saves data to disk for durability and long-term storage.

• Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.

• Examples: Using cache for ...read more
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Q2. Broadcast join and other optimization techniques
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Q1. Sql window function
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Q2. Spark architecture, dataframe vs rdd
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Q3. Python reverse sentence
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Reverse a sentence using Python
• Split the sentence into words using split() method

• Reverse the list of words using list slicing

• Join the reversed list of words back into a sentence using join() method
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Q4. Join based on nulls in sql
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Q1. Tell me about your self?
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Q2. What technology & tools u know ? And basic questions regarding that topics ?
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Q1. Job culture and job responsibilities ?
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Q2. Some questions on an analytical tools like power BI ?
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It contain both Aptitude and Coding about base models and Deep learning too

Q1. What different models technique ?
Ans. 
Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.
• Linear regression is used for predicting continuous values.

• Decision trees are used for classification and regression tasks.

• Random forests are an ensemble method based on decision trees.

• Support vector machines are used for classification tasks.

• Neural networks are used for complex pattern re
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Q2. What are performance metric where to use what?
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Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.
• For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.

• For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.

• For clustering models, metrics like silhouette score and Davies-Bouldin in...read more
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Q1. Explain about Project
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Q2. What are problems faced in that project?
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Q1. Tell me about yourself, second highest salary , question related to coleasce function
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Highly interactive and technical

1 hr test with focus on math and analytical thinking

It was very easy and out of 1000 students 300 students got shortlisted.

Q1. It was also easy and out of 300 students 30 got shortlisted.
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Q2. What are oops? Explain 4 pillars
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OOPs stands for Object-Oriented Programming. The 4 pillars are Inheritance, Encapsulation, Abstraction, and Polymorphism.
• Inheritance: Allows a class to inherit properties and behavior from another class. Example: Parent class 'Animal' and child class 'Dog' inheriting from 'Animal'.

• Encapsulation: Bundling data and methods that operate on the data into a single unit. Example: Using private variables and public methods in...read more
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Q3. What is DBMS and SQL?
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DBMS stands for Database Management System, which is a software system that manages databases. SQL is a language used to interact with databases.
• DBMS is a software system that allows users to define, create, maintain, and control access to databases.

• SQL (Structured Query Language) is a language used to communicate with a database. It is used to retrieve, update, and manage data in a database.

• Examples of popular DBMS in...read more
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Q4. What is MongoDB? Explain it.
Ans. 
MongoDB is a NoSQL database program that uses a document-oriented data model.
• NoSQL database program

• Document-oriented data model

• Uses JSON-like documents for data storage

• Supports dynamic schemas for flexible data structures
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Q5. Explain all hooks of React.
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React hooks are functions that let you use state and other React features without writing a class.
• Hooks are functions that let you use state and other React features in functional components

• useState() - allows functional components to have local state

• useEffect() - allows functional components to perform side effects

• useContext() - allows functional components to access context

• useReducer() - an alternative to useState() ...read more
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