Master Your Interview
Top 59 MATLAB Interview Questions
Entry Junior Mid Senior Expert
MATLAB Theoretical Questions
Q1:
What is the difference between Cell and Matrix in MATLAB?
Entry
Q2:
How to stop a MATLAB script if certain conditions are met?
Entry
Q3:
What is the difference between * and .* in MATLAB?
* and .* in MATLAB? Entry
Q4:
What is the difference between accessing elements in a cell array using parentheses () and curly braces {}?
() and curly braces {}? Junior
Q5:
What types of MATLAB functions do you know?
Junior
Q6:
What is the difference between the & and && logical operators in MATLAB?
& and && logical operators in MATLAB? Junior
Q7:
When is it appropriate to use a Cell array vs. a Struct in Matlab?
Junior
Q8:
How to iterate through each element in an n-dimensional matrix in MATLAB?
n-dimensional matrix in MATLAB? Junior
Q9:
What's the difference between who and whos in MATLAB?
who and whos in MATLAB? Junior
Q10:
How can you count the occurrences of each element in a vector in MATLAB?
Junior
Q11:
How can you remove NaN values from an array?
NaN values from an array? Junior
Q12:
How to convert a 1x1 cell to a character vector or string?
1x1 cell to a character vector or string? Junior
Q13:
How to get the type of a variable in MATLAB?
Junior
Q14:
How to iterate over the keys and elements of a containers.Map?
containers.Map?
Mid Q15:
What's the difference between linspace vs the colon : operator for creating vectors in MATLAB?
linspace vs the colon : operator for creating vectors in MATLAB? Mid Q16:
How to iterate through struct field names in MATLAB?
Mid Q17:
Related To: Linear Algebra
How to assign values to a MATLAB matrix on the diagonal with vectorization?
Related To: Linear Algebra Mid Q18:
How to define constants properties in a Class?
Mid Q19:
How can you break a loop iteration, if it takes a long time?
Mid Q20:
How many types of breakpoints in MATLAB do you know?
Mid Q21:
Is there a foreach in MATLAB? If so, how does it behave if the underlying data changes?
foreach in MATLAB? If so, how does it behave if the underlying data changes? Mid Q22:
Name some advantages of using Categorical arrays vs Character arrays
Mid Q23:
How can you check if a field exists in a nested structure?
Mid Q24:
How to declare a function in MATLAB with optional arguments?
Mid Q25:
When would you use a Regular array vs a Cell array?
Mid Q26:
When would you use a function handle in MATLAB?
Mid Q27:
How to create an InputParser in MATLAB?
InputParser in MATLAB? Senior Q28:
Are there any problems when using eval function in MATLAB?
eval function in MATLAB? Senior Q29:
What is to overload a function and how to do it in MATLAB?
Senior Q30:
What types of properties in MATLAB do you know?
Senior Q31:
When to use Value classes vs Handle classes?
Senior Q32:
How to wrap a function using varargin and varargout?
varargin and varargout? Senior Q33:
How to set default values for functions parameters in MATLAB?
Senior Q34:
When would you define Constructors in MATLAB?
Senior Q35:
What are some Best Practices to improve programming in MATLAB?
Senior Q36:
What are some requirements to create nested functions in MATLAB?
Senior Q37:
How to store a large number of matrixes in an array in MATLAB?
Expert Q38:
What are some best practices for creating Constructors in Matlab?
Expert Q39:
How to elegantly ignore some return values of a MATLAB function?
Expert Q40:
How can you measure the performance of a code in MATLAB?
Expert Q41:
How to pre-allocate memory when using Numeric Arrays?
Expert MATLAB Practical Challenges
Q1:
Find closest values before and after from data for b point
b point
Junior Q2:
How to divide each row of a matrix by a fixed row in MATLAB?
Junior Q3:
Select only a specific number of rows fulfilling a condition in MATLAB
Junior Q4:
Find elements from A in B and get the index of the found element in B
A in B and get the index of the found element in B Junior Q5:
How to find the indices of the maximum (or minimum) value of a matrix?
Junior Q6:
How to generate the following matrix in MATLAB?
Mid Q7:
Find the most common values in matrix using MATLAB
Mid Q8:
Collect a new variable each time a function runs and save it into an array. Implement using MATLAB.
Mid Q9:
Randomly select k points from N points in MATLAB
k points from N points in MATLAB Mid Q10:
How would you access the structure fields dynamically in MATLAB?
Mid Q11:
Find the closest distance in array using MATLAB
Mid Q12:
How to apply a custom function to each element of a matrix or a cell array in MATLAB?
Mid Q13:
How to combine efficiently two structures in MATLAB?
Mid Q14:
What will the output of the code below?
Senior Q15:
Generate a matrix containing all combinations of elements taken from n vectors using MATLAB
n vectors using MATLAB Senior Q16:
Create a function that normalizes a given array of integer in the given range
Senior Q17:
Compare all elements in arrays using MATLAB
Senior Q18:
How would you execute multiple statements in a MATLAB anonymous function?
Expert 
Prepare for AI developer and engineer interviews with 19 answered OpenClaw questions covering Gateway architecture, channels, agent workspaces, memory, MCP, model failover, multi-agent routing, security, sandboxing, approvals, and remote operations....
Prepare for AI agent developer interviews with 15 Model Context Protocol (MCP) questions covering tools, resources, prompts, JSON-RPC, transports, roots, sampling, security, and practical MCP server design....
Amazone runs the internet as we know it. Amazon Web Services (AWS) offers a comprehensive suite of machine learning (ML) services that cater to various needs and expertise levels. Follow along and learn the 23 most common AWS machine-learning intervi...
Azure Machine Learning (Azure ML) is a cloud-based service for creating and managing machine learning solutions. It’s designed to scale, distribute, and deploy machine learning models to the cloud. Follow along and learn the 23 most common Azure Mach...
Hadoop is an open-source big data processing framework. It leverages distributed computing to store and process large datasets in a fault-tolerant manner. According to recent reports, Apache Hadoop is one of the most sought-after big data skills with...
Apache Spark is a unified analytics engine for large-scale data processing. It is built to handle various use cases in big data analytics, including data processing, machine learning, and graph processing. Follow along and learn the 23 most common an...
Scala is a powerful language with functional programming capabilities that can be a good choice for data science, especially in big data and distributed computing scenarios. As an example, Apache Spark, a popular distributed data processing framework...
PyTorch popularity as a Deep Learning framework of choice is on the rise. As of December 2022, 62% of the academic papers were implemented in PyTorch whereas only 4% were for TensorFlow. Follow along and prepare effectively with these key 30 PyTorch ...
The use of Artificial Intelligence (AI) in machine learning and data science enabled advancements in areas such as natural language processing, computer vision, recommendation systems, fraud detection, predictive analytics, and personalized medicine....
Optimization algorithms are extensively used in training machine learning models. Data engineers employ algorithms like gradient descent, stochastic gradient descent, and variants (e.g., Adam, RMSprop) to optimize the model parameters and minimize th...
MLStack.Cafe is a biggest hand-picked collection of top Machine Learning, Data Science & Python Interview Questions. Land your next Six-Figure DS job offer in no time.
Coded with 🧡 using React in Australia 🇦🇺
by @aershov24, Full Stack Cafe Pty Ltd 🤙, Est. 2018
Privacy • Terms of Service • Guest Posts • Contacts • FullStack.Cafe
Great 
based on 65 Trustpilot 
Reviews
based on 65 Trustpilot Reviews