Microsoft Azure AI Fundamentals Natural Language Processing 2

Question 1

What does the term 'tokenization' mean in the context of NLP?

Accepted Answer

Breaking text into individual words or subword units

Answer

Tokenization is the process of splitting text into smaller units called tokens, which are typically words or subword pieces.

Question 2

Which Azure feature allows you to extract structured information from forms and invoices?

Accepted Answer

Azure AI Document Intelligence (Form Recognizer)

Answer

Azure AI Document Intelligence (formerly Form Recognizer) uses AI to extract structured data like fields and tables from documents and forms.

Question 3

What is the role of the Azure Translator service?

Accepted Answer

Translate text between over 100 languages in real time

Answer

Azure Translator provides real-time text translation across more than 100 languages using neural machine translation models.

Question 4

In Azure AI Language, what is Conversational Language Understanding (CLU) used for?

Accepted Answer

Training models to predict user intents from conversational input

Answer

CLU enables developers to build models that classify user utterances into intents and extract entities, powering conversational apps and bots.

Question 5

Which NLP concept describes the multiple meanings a single word can have depending on context?

Accepted Answer

Lexical ambiguity

Answer

Lexical ambiguity refers to the phenomenon where a word has multiple possible meanings that must be resolved using surrounding context.

Microsoft Azure AI Fundamentals Practice Test