NLP Concepts DY0-001 Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is the primary goal of natural language processing (NLP)?

   • ATo store large volumes of textual data in a relational database
   • BTo convert all human language into a single standardized programming language
   • CTo eliminate the need for human input in all text-based systems
   • DTo enable computers to understand, interpret, and generate human language in a meaningful way
   Reveal Solution Discussion Select an answer first
2. 22expert · hard

   A market research firm has 100,000 customer survey responses and wants to identify emerging themes. They tried LDA with 5 topics, but the topics were too broad and overlapping. They want more granular themes without overfitting to individual responses. What should they do?

   • AIncrease the number of topics and use TF-IDF weighting before applying LDA
   • BRemove all stop words and use raw term counts
   • CUse word embeddings instead of LDA
   • DDecrease the number of topics to 2
   Reveal Solution Discussion Select an answer first
4. 23expert · hard

   A global e-commerce company wants to build a chatbot that handles customer queries in 20 languages. They have a large English dataset but very little data for the other languages. They need a solution that works reasonably well for all languages without collecting massive new datasets. What should they do?

   • AUse a multilingual pre-trained model and fine-tune it on the available English data
   • BUse TF-IDF vectors for each language independently
   • CTranslate all queries to English, then use an English-only model
   • DTrain separate models for each language using the English data
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A nonprofit organization has 5,000 grant proposals and wants to understand the main themes (e.g., education, health, environment) without manually reading each one. They have no labeled data. Which approach should they use?

   • ASentiment analysis to gauge proposal tone
   • BSupervised classification with a support vector machine
   • CTF-IDF ranking of individual words
   • DTopic modeling with non-negative matrix factorization (NMF)
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   Which of the following is a core component of a chatbot's NLP functionality?

   • AUnderstanding user intent from natural language input
   • BConverting text to a fixed-length numeric hash
   • CStoring all user conversations in a relational database
   • DRendering graphical user interface elements
   Reveal Solution Discussion Select an answer first