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FastAPI Test

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.

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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About the FastAPI Assessment Test


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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Non-googleable 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
Exception Handling
Error Handling
Solve
What will the following Python code output?
 image

Medium

Session
File Handling
Dictionary
Csv Parsing
Exception Handling In File Input/output
Solve
 image
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?
 image

Medium

Max Code
Arrays
Code Analysis
Algorithm Understanding
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:
 image

Medium

Recursive Function
Recursion
Dictionary
Lists
Solve
Consider the following Python code:
 image
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?
 image
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.

Medium

Async Route Handling
async programming
blocking I/O
FastAPI operations
Solve
Given the following FastAPI code snippet, analyze the structure and identify potential issues or inefficiencies related to async programming.
 image
Which of the following is a valid observation about the provided code? 

A: The use of `requests` in `read_async_data` is appropriate for async execution. 
B: Both endpoints are efficient and correctly implemented for their purpose. 
C: The `read_async_data` function has a blocking call that should be handled asynchronously. 
D: The `HTTPException` handling is incorrect in the context of the `read_async_data` function. 
E: The lack of JSON responses in the endpoints will cause issues in FastAPI. 
F: The endpoints will work correctly without any modifications.

Medium

Testing FastAPI
pytest
HTTPX
asynchronous testing
Solve
You have a FastAPI application with a simple endpoint that returns user information in JSON format. You need to write a test using pytest and HTTPX to verify the correct status code and response structure.

Here's the pseudo code for the FastAPI endpoint:
 image
As a senior developer, implement a test using pytest and HTTPX that checks:
1. The endpoint returns a status code of 200.
2. The response body contains the correct user_id passed.
3. The email field follows a valid email format.
4. Use the HTTPX AsyncClient feature to perform an asynchronous test call.

Which of the following correctly represents a partial implementation of this test?
 image
🧐 Question🔧 Skill

Medium

ZeroDivisionError and IndexError
Exceptions
Exception Handling
Error Handling

2 mins

Python
Solve

Medium

Session
File Handling
Dictionary
Csv Parsing
Exception Handling In File Input/output

2 mins

Python
Solve

Medium

Max Code
Arrays
Code Analysis
Algorithm Understanding

2 mins

Python
Solve

Medium

Recursive Function
Recursion
Dictionary
Lists

3 mins

Python
Solve

Medium

Stacking problem
Stack
Linkedlist

4 mins

Python
Solve

Medium

Async Route Handling
async programming
blocking I/O
FastAPI operations

2 mins

FastAPI
Solve

Medium

Testing FastAPI
pytest
HTTPX
asynchronous testing

2 mins

FastAPI
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
ZeroDivisionError and IndexError
Exceptions
Exception Handling
Error Handling
Python
Medium2 mins
Solve
Session
File Handling
Dictionary
Csv Parsing
Exception Handling In File Input/output
Python
Medium2 mins
Solve
Max Code
Arrays
Code Analysis
Algorithm Understanding
Python
Medium2 mins
Solve
Recursive Function
Recursion
Dictionary
Lists
Python
Medium3 mins
Solve
Stacking problem
Stack
Linkedlist
Python
Medium4 mins
Solve
Async Route Handling
async programming
blocking I/O
FastAPI operations
FastAPI
Medium2 mins
Solve
Testing FastAPI
pytest
HTTPX
asynchronous testing
FastAPI
Medium2 mins
Solve
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Why you should use Pre-employment FastAPI Test?

The FastAPI Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Understanding FastAPI framework basics
  • Creating basic FastAPI routing mechanisms
  • Handling HTTP requests and responses with FastAPI
  • Validating data using Pydantic in FastAPI
  • Implementing dependency injection in FastAPI
  • Writing asynchronous code with FastAPI
  • Integrating APIs with SQL databases in FastAPI
  • Using FastAPI for RESTful API development
  • Leveraging FastAPI’s built-in validation
  • Documenting APIs using FastAPI's Swagger

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the FastAPI Test?

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.

Full list of covered topics

The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for FastAPI Test to be based on.

Python basics
Python syntax
Data types
Control flow
Functions
Modules
Packages
File I/O
OOP
Inheritance
Polymorphism
Exceptions
Comprehensions
Decorators
Generators
FastAPI
ASGI
Request routing
Path parameters
Query parameters
Request bodies
Response models
Data validation
Pydantic
External libraries
Dependency injection
Middleware
Error handling
Cors
Environment variables
OAuth
JWT
Session management
Database integration
ORM
SQLAlchemy
Tortoise ORM
Data migrations
Testing
Async programming
Await
Async functions
Event handlers
Background tasks
Requests library
HTTP methods
API documentation
OpenAPI
Swagger UI
Redoc
JSON responses
Error responses
Status codes

What roles can I use the FastAPI Test for?

  • Backend Developer
  • Full Stack Developer
  • Python Developer
  • API Developer
  • Software Engineer
  • Web Developer
  • DevOps Engineer
  • Microservices Developer
  • Cloud Developer
  • Technical Architect

How is the FastAPI Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Creating custom middleware in FastAPI
  • Implementing OAuth2 with FastAPI
  • Handling background tasks in FastAPI
  • Building scalable FastAPI applications
  • Optimizing performance in FastAPI applications
  • Handling complex query parameters in FastAPI
  • Advanced FastAPI routing with APIRouter
  • Creating and managing event handlers in FastAPI
  • Incorporating WebSockets with FastAPI
  • Conducting integration tests on FastAPI endpoints

The coding question for experienced candidates will be of a higher difficulty level to evaluate more hands-on experience.

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ChatGPT Protection

Non-googleable Questions

Web Proctoring

IP Proctoring

Webcam Proctoring

MCQ Questions

Coding Questions

Typing Questions

Personality Questions

Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

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Have questions about the FastAPI Hiring Test?

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.

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.

How to use FastAPI Test in my hiring process?
  1. Use it as a pre-screening tool.
  2. Add a link to the assessment in your job post.
  3. 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?
Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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