QualityKiosk Technologies Python Developer Interview Questions and Answers

Q1. Shifts the zeros to right
Ans. 
Shift all zeros in an array to the right while maintaining the order of non-zero elements.
• Iterate through the array and move all non-zero elements to the front of the array.

• Fill the remaining elements with zeros.

• Maintain the relative order of non-zero elements.
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Q2. What is decorator?
Ans. 
A decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.
• Decorators are denoted by the @ symbol followed by the decorator function name.

• They are commonly used to modify or extend the behavior of functions or methods.

• Decorators can be used for logging, timing, authentication, caching, etc.

• Example: @staticmethod, @classmethod, @property
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Q1. SQL database questions
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Q1. About Selenium Xpath
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Q2. About Pytest fixtures
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Q3. SQL distinct and count
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Q1. Difference between List and Array
Ans. 
List is a built-in Python data structure that can hold elements of different data types, while Array is a data structure from the NumPy library that can hold elements of the same data type.
• List is a dynamic array that can grow or shrink in size, while Array has a fixed size.

• List can hold elements of different data types, while Array can only hold elements of the same data type.

• List is a part of Python's standard librar...read more
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Q2. Types of renderer classes in DRF
Ans. 
DRF provides JSON, BrowsableAPI, TemplateHTML, and AdminRenderer classes for rendering responses.
• JSONRenderer: Renders data in JSON format.

• BrowsableAPIRenderer: Renders data in a browsable HTML format with forms for interacting with the API.

• TemplateHTMLRenderer: Renders data using a specified template in HTML format.

• AdminRenderer: Renders data in a format suitable for Django admin interface.
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Q3. What is Method Resolution Order?
Ans. 
Method Resolution Order (MRO) is the order in which classes are searched for a method or attribute in Python.
• MRO is determined by the C3 linearization algorithm in Python.

• It follows a depth-first left-to-right traversal of the class hierarchy.

• MRO is important in multiple inheritance scenarios to resolve method conflicts.

• Example: class A: pass class B(A): pass class C(A): pass class D(B, C)
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Q4. Difference between class method and static method.
Ans. 
Class method is bound to the class itself, while static method is not bound to any specific instance or class.
• Class method takes 'cls' as the first parameter, allowing access to class variables and methods.

• Static method does not take any special parameters and does not have access to class or instance variables.

• Class method can be called on both the class and instances of the class.

• Static method is mainly used for util...read more
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Q5. What are transactions in SQL?
Ans. 
Transactions in SQL are a way to ensure data integrity by grouping multiple SQL statements into a single unit of work.
• Transactions help maintain the ACID properties (Atomicity, Consistency, Isolation, Durability) of a database.

• They allow multiple SQL statements to be executed as a single unit, either all succeeding or all failing.

• Transactions can be started with BEGIN TRANSACTION, COMMIT to save changes, or ROLLBACK to...read more
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Simple python programming concepts

Q1. Basic System design of inter service communication in transactional systems.
Ans. 
Inter service communication in transactional systems involves designing a reliable and efficient way for services to communicate and exchange data.
• Use asynchronous messaging systems like RabbitMQ or Kafka to decouple services and ensure reliable message delivery.

• Implement RESTful APIs for synchronous communication between services, using HTTP methods like GET, POST, PUT, DELETE.

• Consider using gRPC for high-performance,...read more
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Q2. Loading and processing a file with huge data volume
Ans. 
Use pandas library for efficient loading and processing of large files in Python.
• Use pandas read_csv() function with chunksize parameter to load large files in chunks.

• Optimize memory usage by specifying data types for columns in read_csv() function.

• Use pandas DataFrame methods like groupby(), merge(), and apply() for efficient data processing.

• Consider using Dask library for parallel processing of large datasets.

• Use gen...read more
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They will test your coding ability on first round, for me they kept test on hacker earth.