How to use the NLP MCQ Quiz
- 1. Choose the length10 random NLP questions, or all 25. Untick shuffle for a fixed order.
- 2. AnswerPick an option and see straight away whether it's right, with a one-line reason.
- 3. See your scoreFinish to get your score and a review of every question with the correct answer.
What the quiz covers
This quiz is for students studying NLP or AI electives and for developers moving from classic text processing to LLMs. The 25 questions are grouped into 5 areas, shown above each question: Text preprocessing, Representations, Classic NLP tasks, Transformers & LLMs, Evaluation.
A sample question explained
"What is the classic example of vector arithmetic with word embeddings?" The answer is king − man + woman ≈ queen. Offsets between vectors can capture relationships such as gender. Analogies like this are a famous property of word2vec-style embeddings, though they don't hold for every word pair.
More questions you'll meet
A few of the other NLP questions in the bank:
- What is the difference between stemming and lemmatization?
- What is a bag-of-words representation?
- What are word embeddings such as word2vec?
- What is cosine similarity used for in NLP?
- What is part-of-speech tagging?
- What is the difference between extractive and abstractive summarisation?
- How is BERT mainly pre-trained?
Study tips
- Build a TF-IDF + logistic regression text classifier once; it's a strong baseline and a common interview topic.
- Know when to use BERT-style encoders (classification, search) and GPT-style decoders (generation).
- Aim for at least 20 out of 25 on two separate attempts before you treat NLP as revised; one lucky score can hide gaps.
Questions and options are shuffled on each attempt, so a retake is a fresh test. The NLP questions were written by Uncodemy for practice; they aren't copied from any exam or company test.
Frequently asked questions
Does it cover large language models?
Yes, the Transformers & LLMs section covers BERT, GPT and encoder–decoder models; our generative AI quiz goes further.
Does it include Indian languages?
The questions are in English and language-neutral, but the same ideas apply to Hindi and other Indian languages, which often need more tokens per word.
Is the NLP MCQ quiz free?
Yes. Every question in the NLP MCQ quiz can be answered without signing up. When you finish your first round, we ask once for your name and WhatsApp number to show your score; after that the NLP MCQ quiz and every other Uncodemy tool open straight away.