AI-102 Implement natural language processing solutions Practice Test 2 — 15 Questions

Question 1

Drag and drop the steps to deploy a custom language model using Azure AI Language into the correct order.

Question 2

Match each Azure AI term to its definition.

Question 3

A healthcare organization is building a clinical decision support system that must extract medical entities (e.g., symptoms, diagnoses, medications) from unstructured clinical notes. The solution must be able to detect relationships between entities, such as 'medication X treats symptom Y'. Which Azure AI service should be used?

Accepted Answer

Azure AI Language - Custom NER with entity linking. Option D is correct because Azure AI Language's custom NER with entity linking can extract medical entities and identify relationships. Option A is wrong because Translator is for language translation, not entity extraction. Option B is wrong because Speech-to-Text converts audio to text, not entity extraction. Option C is wrong because Form Recognizer extracts structured data from forms, not relationships.

Answer

Azure AI Translator

Answer

Azure AI Speech-to-Text

Answer

Azure AI Document Intelligence (formerly Form Recognizer)

Question 4

You are developing a chatbot for a retail company using Azure AI Language's custom question answering. The chatbot must provide answers from a knowledge base of 500 FAQ documents. Users often ask the same question in different wording, and the chatbot fails to return an answer for paraphrased queries. What is the most effective solution?

Accepted Answer

Enable active learning in the project settings and periodically publish the updated knowledge base.. Option C is correct because enabling active learning allows the system to learn from user interactions and suggest alternative phrasings. Option A is wrong because increasing document count doesn't help with paraphrasing. Option B is wrong because additional training is not a built-in feature; active learning is. Option D is wrong because Azure AI Bot Service is for bot hosting, not improving answer coverage.

Answer

Use Azure AI Bot Service's Direct Line Speech channel to improve accuracy.

Answer

Increase the number of FAQ documents in the knowledge base.

Answer

Manually add alternate question phrases to the knowledge base for each QnA pair.

Question 5

A company wants to analyze customer reviews to determine whether sentiment is positive, negative, or neutral. The solution must also extract key phrases such as 'great battery life' and 'poor camera quality'. Which Azure AI feature should be used?

Accepted Answer

Azure AI Language - Sentiment Analysis and Key Phrase Extraction. Option B is correct because Azure AI Language's sentiment analysis and key phrase extraction provide both capabilities. Option A is wrong because Azure AI Language's NER extracts entities, not key phrases. Option C is wrong because Language Understanding (LUIS) is for intent recognition, not sentiment. Option D is wrong because Azure AI Content Safety is for moderating harmful content.

Answer

Azure AI Language - Named Entity Recognition (NER)

Answer

Azure AI Content Safety

Answer

Azure AI Language Understanding (LUIS)

Question 6

You are building a multilingual support chatbot using Azure AI Language. The chatbot must understand user queries in English, Spanish, and French, and respond in the same language. The solution should minimize latency and cost. What is the recommended approach?

Accepted Answer

Use a single Azure AI Language project with multilingual support enabled.. Option A is correct because Azure AI Language's multilingual support allows processing multiple languages with a single endpoint. Option B is wrong because creating separate projects for each language increases management overhead and cost. Option C is wrong because Translator adds cost and latency. Option D is wrong because English-only with translation adds latency and may lose context.

Answer

Use Azure AI Translator to translate all queries to English, process with an English-only project, then translate responses back.

Answer

Create separate Azure AI Language projects for each language and route queries based on detected language.

Answer

Use a single English-only project and rely on Azure AI Translator for all non-English queries.

Question 7

A financial services company uses Azure AI Language's custom text classification to categorize loan applications as 'Approved', 'Denied', or 'Review Required'. The model is trained on historical data but is producing poor accuracy on new applications. The data scientist suspects data leakage between training and test sets. What should the data scientist do to validate this?

Accepted Answer

Split the data chronologically and ensure no overlapping data between train and test sets.. Option B is correct because evaluating the model with a holdout set that was never used in training is the standard way to detect data leakage. Option A is wrong because more training data won't fix leakage. Option C is wrong because cross-validation can still have leakage if leakage is in the data splitting. Option D is wrong because adjusting confidence thresholds doesn't fix leakage.

Answer

Increase the training dataset size and retrain the model.

Answer

Use k-fold cross-validation during training.

Answer

Adjust the classification confidence threshold.

Question 8

A news organization wants to automatically summarize long articles into short, coherent summaries. The solution must preserve the original meaning and key points. Which Azure AI service should be used?

Accepted Answer

Azure AI Language - Extractive Summarization. Option C is correct because Azure AI Language's extractive summarization extracts key sentences from the text. Option A is wrong because Azure AI Translator is for translation. Option B is wrong because Azure AI Language's key phrase extraction extracts phrases, not summaries. Option D is wrong because Azure AI Document Intelligence is for form data extraction.

Answer

Azure AI Document Intelligence

Answer

Azure AI Language - Key Phrase Extraction

Answer

Azure AI Translator

Question 9

You are developing a conversational agent using Microsoft Copilot Studio that must handle complex multi-turn conversations. The agent needs to maintain context across multiple user inputs. Which feature should you use?

Accepted Answer

Use topics with slots to collect information across turns.. Option B is correct because Copilot Studio uses topics with slots to manage context and gather information across turns. Option A is wrong because entities alone don't manage conversation flow. Option C is wrong because variables are used to store data but slots are for context. Option D is wrong because actions are for API calls, not conversation management.

Answer

Use actions to call external APIs for context.

Answer

Use global variables to store conversation state.

Answer

Use entities to capture user input.

Question 10

A legal firm uses Azure AI Language's custom NER to extract party names, dates, and clauses from contracts. The model performs well on English contracts but poorly on French contracts. The firm wants to improve performance without retraining from scratch. What is the most efficient approach?

Accepted Answer

Use the multilingual option in Azure AI Language custom NER to extend the existing project to include French.. Option D is correct because Azure AI Language supports multilingual projects that can learn from pre-existing English data and transfer to French. Option A is wrong because it requires separate management. Option B is wrong because translation may lose legal nuances. Option C is wrong because Translator adds latency and cost.

Answer

Create a separate custom NER project for French and train from scratch using French contracts.

Answer

Retrain the English model with a mix of English and French contracts.

Answer

Use Azure AI Translator to translate French contracts to English, then use the English model.

Question 11

A company wants to build a solution that can identify and redact personally identifiable information (PII) from customer support transcripts. The solution must handle multiple languages. Which Azure AI service should be used?

Accepted Answer

Azure AI Language - PII Detection. Option C is correct because Azure AI Language's PII detection and redaction supports multiple languages. Option A is wrong because Azure AI Content Safety is for harmful content. Option B is wrong because Document Intelligence is for forms. Option D is wrong because Azure AI Translator is for translation.

Answer

Azure AI Content Safety

Answer

Azure AI Document Intelligence

Answer

Azure AI Translator

Question 12

Which TWO Azure AI services can be used to build a multilingual question-answering bot that retrieves answers from a knowledge base of documents?

Accepted Answer

Azure OpenAI Service with a RAG pattern. Options A and D are correct. Custom question answering (A) is designed for FAQ/knowledge bases. Azure OpenAI (D) can be used with a retrieval augmented generation (RAG) pattern. Option B is wrong because LUIS is for intent/entity recognition, not answer retrieval. Option C is wrong because Translator is for translation, not answering. Option E is wrong because Form Recognizer is for form extraction.

Answer

Azure AI Language Understanding (LUIS)

Answer

Azure AI Translator

Answer

Azure AI Document Intelligence

Question 13

Which THREE factors should be considered when choosing between Azure AI Language's pre-built sentiment analysis and custom sentiment analysis for a specialized domain?

Accepted Answer

Custom models require a large set of labeled training data.. Options A, C, and E are correct. Pre-built models may not capture domain-specific language (A). Custom models require labeled data (C). Azure AI Language pre-built supports multiple languages but may have lower accuracy for specialized domains (E). Option B is wrong because response time is generally similar. Option D is wrong because both can be deployed to containers.

Answer

Custom models always have faster response times.

Answer

Pre-built models cannot be used in containers.

Question 14

Which TWO capabilities are provided by Azure AI Language's pre-built entity recognition?

Accepted Answer

Identifying names of people. Options A and D are correct. Pre-built entity recognition can identify people (A) and organizations (D). Option B is wrong because custom entities require custom NER. Option C is wrong because key phrase extraction is a separate feature. Option E is wrong because sentiment analysis is a separate feature.

Answer

Identifying domain-specific medical terms

Answer

Extracting key phrases from text

Answer

Determining overall sentiment of the text

Question 15

Refer to the exhibit. You submit this request to the Azure AI Language service. What is the expected response?

Accepted Answer

Both entity recognition and key phrase extraction results.. Option C is correct. The request includes two tasks: entity recognition and key phrase extraction. The response will contain both sets of results. Option A is wrong because entity recognition is included. Option B is wrong because key phrase extraction is included. Option D is wrong because the request is valid.

Answer

An error because the request format is invalid.

Answer

Only key phrase extraction results.

Answer

Only entity recognition results.