What roles can I use the FastAPI Assessment Test for?

Here are few roles for which we recommend this test: Backend Developer Full Stack Developer Python Developer API Developer Software Engineer Web Developer DevOps Engineer Microservices Developer Cloud Developer Technical Architect

What is FastAPI Test?

The FastAPI Test evaluates candidates' skills in FastAPI development. Recruiters use it to assess their understanding of FastAPI, ensuring they can build efficient APIs.

Can I combine FastAPI Test with Python questions?

Yes, you can combine the FastAPI Test with Python questions. Check out the Python Online Test for more details on how we assess Python skills.

How to use FastAPI Test in my hiring process?

Use it as a pre-screening tool. Add a link to the assessment in your job post. Directly invite candidates by email. Adaface helps you find skilled candidates faster.

Can I test FastAPI and Python together in a test?

Yes, you can test both FastAPI and Python together. It helps in evaluating candidates' overall proficiency. Check out the Python & Django Test .

What are the main backend development tests?

Node.js Online Test Django Online Test Flask Test Java Online Test

FastAPI Test

Q: What topics are covered in the FastAPI Test?

The FastAPI Test covers a range of topics including FastAPI Basics, Routing, Request and Response Handling, Data Validation, Dependency Injection, Authentication, Authorization, Database Integration, Asynchronous Programming, and more.

The FastAPI Test evaluates a candidate's proficiency in building high-performance APIs using FastAPI and Python. It assesses knowledge of FastAPI fundamentals, routing, request/response handling, data validation, and authentication. The test includes MCQs on FastAPI concepts and Python basics, along with a coding question to evaluate practical Python skills in an API context.

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Screen candidates with a 40 mins test

Test duration: ~ 40 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

5 Python MCQs
5 FastAPI MCQs
1 Python Coding Question

Covered skills:

FastAPI Basics

FastAPI Routing

Request Handling

Response Handling

Data Validation

Dependency Injection

Authentication and Authorization

Database Integration

Asynchronous Programming

API Documentation

Python Fundamentals

Python Data Structures

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Adaface skill assessments measure on-the-job skills of candidates, providing employers with an accurate tool for screening potential hires.

Use the FastAPI Assessment Test to shortlist qualified candidates

The FastAPI Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Proficient in Python syntax and programming concepts
Able to use FastAPI for building web applications
Skilled in designing and implementing RESTful APIs using FastAPI
Capable of routing requests using FastAPI
Adept at handling and processing HTTP requests in FastAPI
Efficient in crafting and managing HTTP responses in FastAPI
Competent in data validation using Pydantic in FastAPI
Experienced in dependency injection in FastAPI
Knowledgeable in implementing authentication and authorization in FastAPI
Skilled in integrating databases with FastAPI applications
Capable of writing asynchronous code in Python using FastAPI
Able to generate and manage API documentation with FastAPI's tools

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Screen candidates with the highest quality questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this FastAPI Test will be non-googleable.

🧐 Question
Medium ZeroDivisionError and IndexError Exceptions	Solve
What will the following Python code output?
Medium Session File Handling Dictionary	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
Medium Max Code Arrays	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
Medium Recursive Function Recursion Dictionary Lists	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
Medium Stacking problem Stack Linkedlist	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill
	Medium ZeroDivisionError and IndexError Exceptions	2 mins Python	Solve
What will the following Python code output?
	Medium Session File Handling Dictionary	2 mins Python	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Medium Max Code Arrays	2 mins Python	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Medium Recursive Function Recursion Dictionary Lists	3 mins Python	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Medium Stacking problem Stack Linkedlist	4 mins Python	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	ZeroDivisionError and IndexError Exceptions	Python	Medium	2 mins	Solve
What will the following Python code output?
	Session File Handling Dictionary	Python	Medium	2 mins	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Max Code Arrays	Python	Medium	2 mins	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Recursive Function Recursion Dictionary Lists	Python	Medium	3 mins	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Stacking problem Stack Linkedlist	Python	Medium	4 mins	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

Test candidates on core FastAPI Hiring Test topics

FastAPI Basics: FastAPI is a modern, fast web framework for building APIs with Python. It's built on Starlette and Pydantic, offering high performance and automatic API documentation. Understanding FastAPI basics is crucial for efficient API development.

FastAPI Routing: Routing in FastAPI defines how the application responds to client requests. It allows developers to map URLs to specific functions, enabling clean and organized API structures. Effective routing is essential for creating intuitive and maintainable APIs.

Request Handling: Request handling involves processing incoming HTTP requests in FastAPI. This includes parsing parameters, handling different HTTP methods, and extracting data from request bodies. Proficiency in request handling ensures smooth communication between clients and the API.

Response Handling: Response handling in FastAPI deals with formatting and sending appropriate HTTP responses. It covers status codes, headers, and response bodies. Proper response handling is key to providing clear and consistent API outputs.

Data Validation: FastAPI leverages Pydantic for automatic data validation and serialization. This feature ensures that incoming data meets specified schemas and types. Robust data validation is critical for maintaining data integrity and preventing errors in API operations.

Dependency Injection: Dependency Injection in FastAPI allows for efficient code reuse and separation of concerns. It enables developers to declare dependencies for route functions, promoting modularity and testability. This skill is vital for building scalable and maintainable API architectures.

Authentication and Authorization: Implementing secure authentication and authorization mechanisms is crucial in FastAPI applications. This involves user identification, access control, and protecting sensitive endpoints. Mastery of these concepts is essential for developing secure and reliable APIs.

Database Integration: Integrating databases with FastAPI involves connecting to various database systems and performing CRUD operations. This skill covers ORM usage, query optimization, and managing database connections. Effective database integration is fundamental for data-driven API development.

Asynchronous Programming: FastAPI supports asynchronous programming, allowing for non-blocking I/O operations. This capability significantly enhances performance in I/O-bound applications. Understanding asynchronous concepts is crucial for building high-performance, scalable APIs.

API Documentation: FastAPI automatically generates interactive API documentation using OpenAPI (Swagger) and ReDoc. This feature simplifies API exploration and testing for developers. Proficiency in API documentation practices ensures clear communication of API capabilities and usage.

Python Fundamentals: Strong Python fundamentals are the backbone of FastAPI development. This includes understanding Python syntax, data types, functions, and object-oriented programming. Solid Python skills are essential for effective FastAPI implementation.

Python Data Structures: Proficiency in Python data structures is crucial for efficient data manipulation in FastAPI applications. This covers lists, dictionaries, sets, and their advanced usage. Mastery of data structures enables optimal data handling and processing in API development.

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