Numpy Online Test

About the test:

The NumPy online test uses multiple-choice questions to evaluate a candidate's knowledge and skills related to NumPy arrays and operations, indexing and slicing, linear algebra and statistics, broadcasting, ufuncs and vectorization, and data input and output. The test aims to assess the candidate's proficiency in NumPy and their ability to apply numerical computing and data analysis techniques using Python.

Covered skills:

Array Creation
Array Operations
Linear Algebra
Broadcasting

Array Indexing and Slicing
Math Functions
File Handling
Performance Optimization

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9 reasons why

Adaface Numpy Test is the most accurate way to shortlist Python Developers

Reason #1

Tests for on-the-job skills

The Numpy Online 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:

Able to efficiently create and manipulate arrays using numpy
Thorough understanding of array indexing and slicing concepts
Proficient in performing various array operations
Comfortable working with math functions and performing mathematical computations using numpy
Strong grasp of linear algebra concepts and applications in numpy
Familiarity with file handling and reading/writing data using numpy
Understanding of broadcasting in numpy and its benefits
Able to optimize performance and improve execution speed of numpy computations

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

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The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

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 10,000+ questions. The actual questions on this Online NumPy Test will be non-googleable.

🧐 Question
Medium Array Manipulation and Summation Array Manipulation Mathematical Operations	Solve
Consider the following code snippet: What will be the value of G after executing the code?
Medium Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	Solve
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
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 Array Manipulation and Summation Array Manipulation Mathematical Operations	2 mins NumPy	Solve
Consider the following code snippet: What will be the value of G after executing the code?
	Medium Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	3 mins NumPy	Solve
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
	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
	Array Manipulation and Summation Array Manipulation Mathematical Operations	NumPy	Medium	2 mins	Solve
Consider the following code snippet: What will be the value of G after executing the code?
	Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	NumPy	Medium	3 mins	Solve
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
	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.

Reason #4

1200+ customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Online NumPy Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Online NumPy Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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About the Numpy Assessment Test

Why you should use Pre-employment Numpy Online Test?

The Online NumPy 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:

Array Creation
Array Indexing and Slicing
Array Operations
Math Functions
Linear Algebra
File Handling
Broadcasting
Performance Optimization
Integrating Numpy with Python
Data Manipulation with Numpy

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 Numpy Online Test?

Array Creation
Array creation refers to the process of initializing arrays with data. It includes functions such as np.array(), np.zeros(), np.ones(), and np.arange() that allow users to create arrays of desired shapes and fill them with specific values. This skill is measured in the test to assess the candidate's ability to create and manipulate arrays efficiently, which is essential in many data manipulation and analysis tasks.
Array Indexing and Slicing
Array indexing and slicing involve accessing and extracting specific elements or portions of an array. The numpy library provides various indexing techniques like integer array indexing, Boolean array indexing, and advanced indexing using integers or arrays of indices. Assessing this skill in the test helps evaluate the candidate's proficiency in extracting and manipulating array data based on specific requirements.
Array Operations
Array operations refer to mathematical and logical operations performed on arrays, such as addition, subtraction, multiplication, division, exponentiation, and comparisons. These operations can be performed element-wise or matrix-wise, allowing for efficient computation on large datasets. Including this skill in the test helps measure a candidate's ability to perform basic array operations, which are fundamental in data analysis and scientific computing.
Math Functions
Math functions in numpy include various mathematical operations like trigonometric functions, logarithmic functions, exponential functions, and statistical functions. These functions allow for efficient computation and manipulation of numerical data in arrays. Evaluating this skill in the test helps assess a candidate's understanding and application of mathematical functions for data processing and analysis.
Linear Algebra
Linear Algebra in numpy involves operations related to vectors, matrices, and linear equations. It includes functions for matrix multiplication, matrix inversion, finding eigenvalues and eigenvectors, solving linear equations, and performing matrix decompositions. Measuring this skill in the test helps determine a candidate's knowledge and proficiency in essential linear algebra operations used in various fields such as machine learning and scientific computing.
File Handling
File handling in numpy refers to the ability to read and write array data from and to external files. Numpy provides functions like np.loadtxt() and np.savetxt() that enable reading and writing arrays in different file formats. Assessing this skill in the test helps evaluate a candidate's capability to handle data stored in files, which is crucial in real-world data processing and analysis tasks.
Broadcasting
Broadcasting is a powerful numpy feature that allows arithmetic operations to be performed between arrays of different shapes. It eliminates the need for explicit loops and enables efficient computation with arrays of different sizes. Testing this skill helps measure a candidate's understanding and usage of broadcasting, which is essential to avoid unnecessary code complexity and improve computational efficiency.
Performance Optimization
Performance optimization in numpy involves implementing techniques to improve the efficiency and speed of computations. This may include vectorizing operations, using optimized numpy functions, using appropriate data types, and employing algorithms tailored for performance. Evaluating this skill in the test helps determine a candidate's ability to optimize code execution, which is crucial when dealing with large datasets or computationally intensive tasks.
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 Online NumPy Test to be based on.
Array Creation
Array Indexing
Array Slicing
Array Operations
Math Functions
Linear Algebra
File Handling
Broadcasting
Performance Optimization
Array Reshaping
Array Concatenation
Array Splitting
Array Sorting
Array Filtering
Array Transposition
Array Stacking
Array Broadcasting Rules
Matrix Multiplication
Eigenvalues and Eigenvectors
Singular Value Decomposition
Vectorization
Element-wise Operations
Dot Product
Cross Product
Transpose
Inverse
Matplotlib Integration
Random Number Generation
Array Access and Updates
Array Comparison
Array Masking
Vector Norms
Matrix Determinant
Kronecker Product
File Reading
File Writing
Broadcasting Rules
Array Elementwise Operations
Array Reduction
Array Broadcasting
Array Broadcasting Rules
Performance Profiling
Memory Management
Parallel Processing
Caching
Array Verification
Array Iteration
Array Tiling
Array Tapering
Array Shuffling
Array Synchronization
Array Memory Allocation
Test Case Generation

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What roles can I use the Numpy Online Test for?

Python Developer
NumPy Developer
Data Analyst
Data Scientist
Machine Learning Engineer

How is the Numpy Online 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

Error Handling in Numpy
Working with Multidimensional Arrays
Understanding Broadcasting Rules
Implementing Linear Algebra Operations
Handling Large Data with Numpy
Optimizing Numpy Code for Efficiency
Using Numpy for Scientific Computing
Memory Management in Numpy
Parallel Processing in Numpy
Advanced Array Manipulation Techniques

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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

85%

reduction in screening time

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Numpy Hiring Test FAQs

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.