AI & Machine Learning Mock Interview Questions & Practice
Prepare for AI & Machine Learning placement and job interviews with 300 technical practice questions across 10 subjects: Natural Language Processing, Computer Vision & Reinforcement Learning, Data Structures & Algorithms, Operating Systems, Database Management Systems, Computer Networks, Object-Oriented Programming, Machine Learning Fundamentals, Deep Learning & Neural Networks and Statistics & Probability for Data Science. Below are sample AI & Machine Learning interview questions with the key points a strong answer covers. Practice them out loud in a scored mock interview — your first session is free.
Subjects covered in the AI & Machine Learning mock interview
Natural Language Processing
- NLP Fundamentals & Text Preprocessing
- Language Models & Word Embeddings
- NLP Applications
Computer Vision & Reinforcement Learning
- Image Processing & Feature Extraction
- Object Detection & Image Classification
- Reinforcement Learning Fundamentals
Data Structures & Algorithms
Shared with Computer Science Engineering
- Arrays & Strings
- Linked Lists & Trees
- Sorting, Searching & Complexity
Operating Systems
Shared with Computer Science Engineering
- Process & Thread Management
- Memory Management
- Concurrency & Synchronization
Database Management Systems
Shared with Computer Science Engineering
- Relational Model & SQL
- Normalization & Schema Design
- Transactions & Indexing
Computer Networks
Shared with Computer Science Engineering
- Networking Fundamentals & OSI Model
- TCP/IP & Routing
- Application Layer Protocols & Security
Object-Oriented Programming
Shared with Computer Science Engineering
- Core OOP Principles
- Design Patterns
- Inheritance, Polymorphism & SOLID
Machine Learning Fundamentals
Shared with AI & Data Science
- Supervised Learning Basics
- Unsupervised Learning & Clustering
- Model Evaluation & Feature Engineering
Deep Learning & Neural Networks
Shared with AI & Data Science
- Neural Network Fundamentals
- Convolutional Neural Networks
- Recurrent Networks & Sequence Models
Statistics & Probability for Data Science
Shared with AI & Data Science
- Probability Fundamentals
- Descriptive Statistics & Distributions
- Statistical Inference & Hypothesis Testing
Sample AI & Machine Learning interview questions
A selection from the AI & Machine Learning question bank. In a MockManthan session the interviewer asks each question aloud and you answer on camera — these key points show what a complete answer should include.
Natural Language Processing interview questions
What is the difference between stemming and lemmatization?
NLP Fundamentals & Text PreprocessingKey points to cover:
- Stemming: simple, rule-based suffix removal, can produce non-words
- Lemmatization: uses vocabulary and morphological analysis
- Produces valid dictionary base forms (lemmas)
What is Word2Vec, and what is its basic training approach?
Language Models & Word EmbeddingsKey points to cover:
- Learns word embeddings via a shallow neural network
- Predicts a word from its context (or vice versa)
- Words appearing in similar contexts get similar vectors
What is text summarization, and what is the difference between extractive and abstractive summarization?
NLP ApplicationsKey points to cover:
- Producing a shorter version of a text retaining key information
- Extractive: selects and combines existing sentences from the source
- Abstractive: generates new sentences not verbatim in the source
Computer Vision & Reinforcement Learning interview questions
What is edge detection in image processing, and what does it aim to identify?
Image Processing & Feature ExtractionKey points to cover:
- Identifies points where brightness changes sharply
- Typically corresponding to object boundaries
- A foundational step for further image analysis
What is Intersection over Union (IoU), and how is it used to evaluate object detection performance?
Object Detection & Image ClassificationKey points to cover:
- Measures overlap between predicted and ground truth bounding boxes
- Area of overlap divided by area of union
- Determines whether a detection is considered correct
What is the difference between exploration and exploitation in reinforcement learning?
Reinforcement Learning FundamentalsKey points to cover:
- Exploration: trying new, potentially suboptimal actions
- To discover outcomes and gather information
- Exploitation: choosing actions believed to yield the highest reward
Data Structures & Algorithms interview questions
Explain how you would detect if two strings are anagrams of each other.
Arrays & StringsKey points to cover:
- Character frequency count comparison
- Sorting approach as an alternative, O(n log n)
- Discusses the time/space trade-off between the two approaches
How would you find the lowest common ancestor of two nodes in a binary search tree?
Linked Lists & TreesKey points to cover:
- Uses the BST property while traversing from the root
- States O(h) time complexity
- Contrasts with general binary-tree LCA needing a full traversal
How does quicksort's pivot selection affect its performance?
Sorting, Searching & ComplexityKey points to cover:
- Poor pivot choice (e.g. first element on sorted input) degrades to O(n^2)
- Randomized or median-of-three pivot selection helps avoid the worst case
- Connects pivot quality to partition balance
Operating Systems interview questions
Explain the difference between multithreading and multiprocessing.
Process & Thread ManagementKey points to cover:
- Multithreading shares memory within one process, lower overhead
- Needs synchronization to avoid shared-state issues
- Multiprocessing uses separate memory spaces, higher isolation and overhead
Compare paging and segmentation as memory management schemes.
Memory ManagementKey points to cover:
- Paging uses fixed-size units, transparent to the programmer
- Segmentation uses variable-size logical units (code/data/stack)
- Notes segmentation can suffer external fragmentation
How does a condition variable work, and what problem does it solve?
Concurrency & SynchronizationKey points to cover:
- Lets a thread wait/block until a specific condition becomes true
- Signaled by another thread
- Solves busy-waiting inefficiency compared to polling a flag
Database Management Systems interview questions
What is a subquery, and give an example of when you'd use one.
Relational Model & SQLKey points to cover:
- A query nested inside another query
- Useful for filtering based on an aggregate or related table result
- Gives a concrete example (e.g. rows above a subquery-computed average)
Explain Third Normal Form (3NF) and what problem it solves.
Normalization & Schema DesignKey points to cover:
- 2NF plus no transitive dependency
- Non-key columns must depend only on the primary key
- Removes redundancy caused by indirect (transitive) dependencies
Explain the difference between the READ COMMITTED and REPEATABLE READ isolation levels.
Transactions & IndexingKey points to cover:
- READ COMMITTED prevents dirty reads
- READ COMMITTED still allows non-repeatable reads within a transaction
- REPEATABLE READ additionally prevents non-repeatable reads
Computer Networks interview questions
What is the role of the Network layer, and what protocol is most associated with it?
Networking Fundamentals & OSI ModelKey points to cover:
- Handles logical addressing
- Handles routing of packets between networks
- Associates it with IP (Internet Protocol)
What is the purpose of TCP's flow control, and how is it achieved?
TCP/IP & RoutingKey points to cover:
- Prevents a fast sender from overwhelming a slow receiver
- Achieved via a sliding window mechanism
- Receiver advertises how much data it can currently accept
What is the purpose of TLS/SSL in network security?
Application Layer Protocols & SecurityKey points to cover:
- Provides encryption (confidentiality)
- Provides integrity
- Provides authentication of the server (and optionally client)
How to practice AI & Machine Learning interview questions on MockManthan
- Create a free account and complete a quick camera, microphone and face calibration.
- Pick the AI & Machine Learning subject, chapter and topic you want to practice.
- Answer each question out loud to the animated interviewer, then review your scored report — Confidence, Professionalism, Eye Contact and Body Language — with a clickable video timeline.
Mock interview questions for other engineering branches
- Computer Science Engineering
- Information Technology
- Electronics & Communication Engineering
- Electrical & Electronics Engineering
- Electrical Engineering
- Mechanical Engineering
- Civil Engineering
- Chemical Engineering
- AI & Data Science
- Instrumentation Engineering
- Biotechnology
- Automobile Engineering
- Aerospace Engineering
- Industrial & Production Engineering
- Metallurgical Engineering
- Mining Engineering
- Textile Engineering
- Agricultural Engineering
- Petroleum Engineering



