The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) online screening exam typically lasts 45–60 minutes and is proctored via AI. It focuses on three core pillars: Mathematics, Programming, and Machine Learning. Sample Exam Questions
Based on recent applicant reports and official guides, here are representative questions you might encounter:
Machine Learning (Regression & Optimization): Questions often cover differentiating between Linear and Logistic regression and understanding Gradient Descent's use of derivatives to update weights.
Linear Algebra & Probability: Be prepared to solve for matrix eigenvalues and calculate probabilities for sequential, non-replacement events.
Programming (Data Structures): Identify time complexities, such as the worst-case for searching a singly linked list. Key Exam Topics to Study
Mathematics: Focus on Linear Algebra (eigenvalues, rank, matrix inversion), Calculus (derivatives, maxima/minima), and Trigonometry.
Programming: Primarily Python. Be ready for code snippets involving for and while loops, recursion, and basic Data Structures like linked lists and maps.
Machine Learning: Supervised vs. unsupervised learning, overfitting, bias-variance tradeoff, and evaluation metrics (F1-score, precision, recall). Preparation Tips MBZUAI Online Entry Exam Guidelines
MBZUAI Online Screening Exam is a mandatory, proctored assessment designed to evaluate your foundational knowledge in Mathematics, Programming, and Machine Learning. The exam is fully automated, lasts approximately 45 to 60 minutes , and does use negative marking.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence 📐 Mathematics Section (40%)
This section focuses on the mathematical foundations required for Artificial Intelligence. Focus on conceptual understanding and geometric intuition.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence Linear Algebra
: Matrix operations, determinants, eigenvalues, eigenvectors, and solving systems of linear equations.
: Single and multivariate calculus, including limits, derivatives (chain rule), and optimization. Probability & Statistics
: Discrete and continuous distributions, Bayes' Theorem, mean, variance, and standard deviation. Optimization : Gradients, Jacobians, and Hessians.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence Sample Questions:
Find the probability that the sum of two rolled dice equals 7. Compute the determinant of a 3x3 matrix.
Find the probability that the second ball drawn from a bag (6 red, 2 blue) is red without replacement. 💻 Programming Section (40%) Most questions use
, but the focus is on algorithmic logic rather than specific language syntax. You may be asked to find the output of code or identify errors. Data Structures
: Basic understanding of Arrays, Stacks, Queues, Linked Lists, and Binary Trees. Algorithms mbzuai entry exam sample questions best
: Searching and sorting algorithms (e.g., Bubble Sort, Binary Search) and their time complexity.
: Recursion, loops, and Object-Oriented Programming (OOP) including classes and inheritance. Sample Questions:
What is the worst-case time complexity of searching a singly linked list of length
Write a Python function to check if a number is prime or a string is a palindrome.
Identify which WHILE loop produces the same output as a provided FOR loop. 🤖 Machine Learning Basics (20%)
This section tests your grasp of fundamental ML theory and model evaluation. Learning Paradigms
: Differences between supervised, unsupervised, and reinforcement learning. Model Theory
: Overfitting vs. underfitting, the bias-variance tradeoff, and gradient descent. Evaluation Metrics
: Confusion matrix, accuracy, precision, recall, and F1-score. Algorithms
: Key differences between Linear Regression and Logistic Regression. Sample Questions:
Gradient Descent computes the derivative of the loss function with respect to what? (Input, Weight, or Activation)
Explain how decision trees split data using Gini Index or Entropy. 🛠️ Preparation Resources & Tools Official Demo : A demo exam is provided within the Exam Portal software (use PIN: ) to help you test the interface.
: Search for "Mathematical for Machine Learning" or specific calculus/algebra tests. Learning Platforms : Courses on covering "Linear Algebra for ML" are highly recommended. Prep Guides : Third-party resources like the MBZUAI Master's Test Prep Guide offer up to 155 practice MCQs.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence 📋 Exam Day Checklist
: Use Windows 10/11 or macOS 10.15+. Google Chromebooks and Linux are supported. Environment
: A quiet, well-lit room. Your face must remain visible to the AI Proctor at all times.
: You are allowed blank paper, a pen, and a calculator (though minimal use is advised).
: Have a valid passport or government ID ready for the system's identity check.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence If you'd like, I can help you: Drill specific math topics like eigenvalues or probability. Practice Python coding for common data structures. Explain ML concepts like the bias-variance tradeoff in detail. subject area would you like to start with? MBZUAI Online Screening Exam Instructions The Mohamed bin Zayed University of Artificial Intelligence
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) entrance exam primarily focuses on mathematics programming machine learning
fundamentals. Below is a breakdown of the key concepts and sample questions often found in these screenings.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence Core Subjects & Sample Questions 1. Mathematics (Calculus, Linear Algebra, Probability)
Expect questions on derivatives, matrix operations, and probability distributions. Linear Algebra : A matrix is invertible if and only if its determinant is Probability
: From a bag of 6 red and 2 blue balls, two are drawn without replacement. What is the probability that the second ball drawn is red? (Correct answer: 3/4). Trigonometry : Find angles such that:
2 sine alpha minus cosine beta plus 3 tangent gamma equals 3
4 sine alpha plus 2 cosine beta minus 2 tangent gamma equals 2
6 sine alpha minus 3 cosine beta plus tangent gamma equals 9
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence 2. Programming (Python, Data Structures, Algorithms)
Questions typically cover Python syntax, time complexity, and recursion.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence Data Structures : What is the worst-case number of comparisons to search a singly linked list of length ? (Correct answer: Algorithms : What is the time complexity of bubble sort ? (Correct answer: Python Logic : Determine the output of list(map(lambda x: x * 2, [1, 2, 3])) . (Correct answer: 3. Machine Learning Fundamentals
This section tests theoretical understanding of models and training processes. Regression : Linear Regression predicts a continuous dependent variable, while Logistic Regression predicts a categorical/discrete Gradient Descent
: This algorithm computes the derivative of the loss function with respect to the Optimization : Common topics include regularization, the ReLU function , and identifying overfitting versus underfitting.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence Exam Format & Guidelines MBZUAI Online Screening Exam Instructions - GitHub Gist
Preparing for the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) entry exam requires a strong grasp of high-level mathematics, programming, and machine learning fundamentals. The screening exam typically consists of 30 to 40 multiple-choice questions (MCQs) to be completed in 45 to 60 minutes
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence
The following informative guide details the exam structure, key topics, and sample question types based on official guidelines and recent candidate experiences. Exam Structure and Guidelines Online, AI-proctored screening exam.
No negative marking; it is recommended to answer all questions.
Minimal use of a basic calculator, blank paper, and a pen is usually permitted. you cannot use high-level ML libraries.
The test is generally divided into three core areas: Math, Programming, and Machine Learning.
MBZUAI - Mohamed bin Zayed University of Artificial Intelligence Key Exam Topics According to the MBZUAI Admission Guidelines , applicants should focus on: Mathematics:
Calculus, Linear Algebra (matrices, determinants, rank), Probability, and Optimization. Programming:
Basic Python functions, data types, and data structures (specifically linked lists, recursion, and Big-O time complexity). Machine Learning:
Supervised vs. unsupervised learning, regression (Linear vs. Logistic), gradient descent, and model evaluation (overfitting/underfitting, regularization, ReLU functions). Sample Questions
Below are examples reflecting the difficulty and style found in prep materials and official instruction sheets: Mathematics (Linear Algebra & Probability) Matrix Rank:
Identifying the rank of matrices (e.g., determining the rank of a matrix where rows are dependent). Probability:
Solving word problems regarding sequential, non-replacement probability. Programming & Computational Problem Solving Complexity:
Calculating Big-O time complexity for sorting algorithms like bubble sort. Data Structures:
Understanding foundational LIFO/FIFO structures (e.g., stack operations). Machine Learning Foundations MBZUAI Entry Exam Instructions 2022.01.27 | PDF - Scribd
| Source | Quality | Relevance | |--------|---------|------------| | MIT 18.06 (Linear Algebra) problem sets | Excellent | Eigenvalues, projections | | Stanford CS229 (Machine Learning) exams | Excellent | Gradients, Bayes, MLE | | LeetCode Easy/Medium (Python) | Good | Basic algorithms, complexity | | MBZUAI official “preparatory materials” (if emailed after application) | Best | Exact style of their questions |
The MBZUAI entrance exam assesses foundational knowledge in:
It is required for MSc and PhD applicants (waivers possible for exceptional backgrounds). The exam is computer‑based, multiple‑choice, and typically 2–3 hours.
Best question type: Loss function intuition.
Sample Q1 (Cross-entropy vs MSE):
Why is cross-entropy loss preferred over MSE for classification with softmax? Provide a short mathematical reason regarding gradient saturation.
Sample Q2 (Bias-Variance):
Draw the bias-variance decomposition curve as model complexity increases. Label the underfitting and overfitting regions.
Before looking at questions, understand the why. MBZUAI does not test Python syntax or specific libraries (like TensorFlow). They test foundational maturity.
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) entry exams assess applicants’ foundations in mathematics, programming, and reasoning. Below is a concise sample-question set and practical guidance to prepare effectively.
You will not write a full deep learning model, but you will implement core data structures and algorithms from scratch. Libraries like NumPy are often restricted to basic array operations; you cannot use high-level ML libraries.