Practice Questions: Identify Features and Uses for Language Modeling (AI-900 Exam Prep)

Practice Questions


Question 1

What is the primary purpose of a language model in natural language processing?

A. To detect objects in images
B. To classify numerical data
C. To predict and generate sequences of text
D. To translate speech into audio

Correct Answer: C

Explanation:
Language models are designed to predict and generate text based on learned language patterns. They analyze sequences of words to understand context and produce meaningful text.


Question 2

Which scenario is the best example of a language modeling workload?

A. Detecting faces in an image
B. Generating a human-like response in a chatbot
C. Identifying key phrases in a document
D. Extracting entities such as names and locations

Correct Answer: B

Explanation:
Chatbots rely on language models to understand user input and generate natural language responses, which is a core language modeling capability.


Question 3

A company wants an AI system that can automatically complete sentences as users type. Which NLP capability is required?

A. Sentiment analysis
B. Entity recognition
C. Language modeling
D. Optical character recognition

Correct Answer: C

Explanation:
Sentence and text completion depend on predicting the next word or phrase, which is a fundamental feature of language modeling.


Question 4

Which feature distinguishes modern language models from earlier rule-based NLP systems?

A. They rely only on predefined grammar rules
B. They can understand context across multiple words or sentences
C. They only work with structured data
D. They require manual labeling of every sentence

Correct Answer: B

Explanation:
Modern language models use context to generate coherent responses, allowing them to understand meaning beyond individual words.


Question 5

Which Azure service provides access to advanced pretrained language models for text generation and conversational AI?

A. Azure AI Vision
B. Azure AI Language
C. Azure OpenAI Service
D. Azure Form Recognizer

Correct Answer: C

Explanation:
The Azure OpenAI Service provides access to large pretrained language models that support text generation, chat, summarization, and reasoning.


Question 6

A customer support system automatically answers user questions using natural language. Which AI capability is primarily being used?

A. Object detection
B. Language modeling
C. Key phrase extraction
D. Speech synthesis

Correct Answer: B

Explanation:
Automatically generating answers in natural language relies on language modeling, especially for conversational and question-answering scenarios.


Question 7

Which task is least likely to use language modeling?

A. Generating a summary of a document
B. Translating text between languages
C. Detecting the sentiment of a sentence
D. Producing a chatbot response

Correct Answer: C

Explanation:
Sentiment analysis focuses on identifying emotional tone, not generating or predicting text. The other options rely heavily on language modeling.


Question 8

Why are pretrained language models commonly used in Azure AI solutions?

A. They eliminate the need for any data
B. They require less storage than traditional models
C. They can be used immediately without custom training
D. They only support English language text

Correct Answer: C

Explanation:
Pretrained models are already trained on large datasets and can be used out of the box, which aligns with Azure’s AI service approach.


Question 9

Which statement best describes how language models generate text?

A. By randomly selecting words from a dictionary
B. By applying fixed grammatical rules
C. By predicting the most likely next word in a sequence
D. By translating text into numerical values only

Correct Answer: C

Explanation:
Language models generate text by calculating probabilities of word sequences and selecting the most likely continuation.


Question 10

A solution needs to create readable paragraphs based on a short prompt provided by a user. Which AI capability should be used?

A. Optical character recognition
B. Speech recognition
C. Language modeling
D. Image classification

Correct Answer: C

Explanation:
Generating paragraphs from a prompt is a classic language modeling use case involving text prediction and generation.


Quick Exam Tip

If the question involves:

  • Text generation
  • Chatbots
  • Predicting or completing text
  • Understanding context in language

👉 It’s a good chance it involves Language Modeling


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