Maruti Techlabs Interview Questions, Process, and Tips

Will ask basic to medium level coding questions

Q1. Will ask questions mostly related to oops, computer networks and os and database
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First round was the aptitude test which contains questions like oops,Dbms and maths reasoning questions.

Q1. Interview containing questions on OOPS, DBMS and one coding question which is based on simple coding questions like write Fibonacci or factorial questions.
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Q2. What is OOPS and say their types? then code for atm machine using switch case
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Q1. Third round is the final round but it is not hr round it is technical one where they will ask about some basic questions on computer networks,DBMS,OOPS and will give you one coding questions like bubble so...read more
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Q2. Code for bubble sort,What is acid property,etc...
Ans. 
Bubble sort is a simple sorting algorithm. ACID properties are used to ensure database transactions are reliable.
• Bubble sort repeatedly swaps adjacent elements if they are in the wrong order.

• ACID stands for Atomicity, Consistency, Isolation, and Durability.

• Atomicity ensures that a transaction is treated as a single, indivisible unit.

• Consistency ensures that a transaction brings the database from one valid state to anot...read more
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Half hour aptitude test which also contains some technical questions

Q1. What is the difference between method overloading and overwriting?
Ans. 
Method overloading involves multiple methods in the same class with the same name but different parameters. Method overriding involves a subclass providing a specific implementation of a method that is already provided by its superclass.
• Method overloading is achieved within the same class by having multiple methods with the same name but different parameters.

• Method overriding occurs in a subclass that provides a specif...read more
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Q2. Types of machine learning and use cases of each.
Ans. 
Types of machine learning include supervised, unsupervised, and reinforcement learning, each with unique use cases.
• Supervised learning: Uses labeled data to train a model to make predictions. Example: spam email detection.

• Unsupervised learning: Finds patterns in unlabeled data. Example: customer segmentation.

• Reinforcement learning: Learns through trial and error to maximize rewards. Example: game playing AI.
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Q1. What is transfer learning in ML?
Ans. 
Transfer learning is a machine learning technique where a model trained on one task is re-purposed on a second related task.
• Transfer learning involves using pre-trained models as a starting point for a new task.

• It helps in saving time and computational resources by leveraging knowledge from previous tasks.

• Fine-tuning and feature extraction are common transfer learning approaches.

• Example: Using a pre-trained image class...read more
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Q2. SQL joining query between two tables.
Ans. 
SQL joining query between two tables
• Use JOIN keyword to combine rows from two or more tables based on a related column between them

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
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OOPs, reasoning, logical, Coding

Q1. OOPs and project related questions
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Q1. SQL query and sorting algorithm
Ans. 
SQL query to retrieve data from a database and sorting algorithm to organize the data
• Use SELECT statement in SQL to retrieve data from a specific table

• Use ORDER BY clause in SQL to sort the retrieved data based on a specific column

• Implement a sorting algorithm like Bubble Sort, Quick Sort, or Merge Sort in a programming language to organize data
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