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AI-102 · topic practice

Implement natural language processing solutions practice questions

Practise AI-102 NAT and PAT questions covering address translation types, inside/outside interface roles, static vs dynamic vs PAT, and troubleshooting missing or incorrect translations.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security
20 questionsDomain: Implement natural language processing solutions
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What the exam tests

What to know about Implement natural language processing solutions

NAT questions usually test how private addresses are translated, when to use static NAT, dynamic NAT or PAT, and how inside/outside interfaces affect traffic flow.

Static NAT, dynamic NAT and PAT behaviour.

Inside local, inside global, outside local and outside global address meanings.

How NAT affects connectivity between private networks and public destinations.

How to troubleshoot NAT rules, ACL matches and interface direction.

Why learners struggle

Why Implement natural language processing solutions questions are commonly missed

NAT questions are missed when learners confuse the four address types (inside local, inside global, outside local, outside global) or misapply the interface direction. A translation rule can look correct but still fail if the ACL, interface, or direction is wrong.

  • ·Inside local vs inside global — inside local is the private source, inside global is the translated public address
  • ·PAT overloads — many sources share one public IP using unique port numbers
  • ·Interface direction — ip nat inside and ip nat outside must be on the correct interfaces
  • ·Static NAT vs dynamic NAT vs PAT — each serves a different use case
  • ·The NAT ACL identifies traffic to translate, not traffic to permit or deny
  • ·A missing translation can look like a routing problem if the interfaces are misconfigured

Watch out for

Common Implement natural language processing solutions exam traps

  • ▸PAT allows many inside hosts to share one public address by using port numbers.
  • ▸NAT rules depend on correct inside and outside interface configuration.
  • ▸The ACL used for NAT identifies traffic to translate; it is not always a security filtering ACL.
  • ▸Static NAT maps one private address to one public address, while PAT overloads translations.

Practice set

Implement natural language processing solutions questions

20 questions · select your answer, then reveal the explanation

Question 1hardmultiple choice
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A company uses Azure AI Language for sentiment analysis on customer feedback. They notice that the sentiment scores for mixed reviews are often neutral when they should be slightly positive. They need to improve the accuracy for these mixed reviews without labeling new data. Which approach should you recommend?

Question 2easymultiple choice
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A company uses Azure AI Language Service to summarize long documents. They need to generate concise summaries that capture the main points. Which feature should they use?

Question 3easymultiple choice
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You need to translate a large volume of documents from English to French while preserving the original formatting. Which Azure service should you use?

Question 4mediummulti select
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Your organization needs to analyze customer call transcripts to extract key insights, including sentiment, issues, and resolution. Which THREE Azure AI Language features should you use?

Question 5mediummultiple choice
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Refer to the exhibit. You are designing a Data Factory pipeline to perform sentiment analysis on a text column. The pipeline fails with a 'BadRequest' error. What is the most likely issue?

Exhibit

{
  "pipeline": {
    "name": "text-analytics-pipeline",
    "activities": [
      {
        "name": "AnalyzeSentiment",
        "type": "CognitiveService",
        "inputs": [{"name": "textColumn", "value": "@activity('GetData').output.text"}],
        "outputs": [{"name": "sentimentResult", "value": ""}],
        "linkedServiceName": "AzureAILanguageService"
      }
    ]
  }
}
Question 6mediummultiple choice
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You are using Azure AI Language to analyze customer reviews. You need to identify specific aspects (e.g., 'price', 'service') and their associated sentiment. Which feature should you use?

Question 7hardmulti select
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You are deploying a custom question answering solution in Azure AI Language. You need to ensure that the knowledge base can handle synonyms and alternative phrasings for questions. Which THREE strategies should you implement? (Select THREE.)

Question 8mediummultiple choice
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You are an AI developer at a legal firm. The firm uses Azure AI Language to extract entities from legal documents. The current custom NER model is trained on a small dataset and has low accuracy for certain entity types like 'Statute' and 'Case Citation'. You need to improve the model's performance without increasing the labeling effort significantly. You have the following options:

Option A: Add more labeled examples for the underperforming entity types by manually labeling additional documents.

Option B: Use the prebuilt entity recognition model from Azure AI Language and map its outputs to custom entities.

Option C: Enable active learning in the custom NER project and review the suggested labels from the model.

Option D: Train a new model using the Azure Machine Learning automated ML (AutoML) for text classification.

Question 9hardmultiple choice
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A legal compliance team needs to automatically redact personally identifiable information (PII) from legal documents before sharing them with external auditors. The documents are stored in Azure Blob Storage. The solution must use Azure AI Language to detect PII and then redact the identified entities. The redaction must be performed on the original documents, and the redacted versions must be saved to a separate container. You need to design a serverless solution with minimal latency. What should you do?

Question 10easymultiple choice
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A company is building a chatbot using Azure Cognitive Service for Language. They need to ensure that user utterances are correctly mapped to the appropriate intent in a custom question answering project. What should they configure?

Question 11mediummultiple choice
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A development team is using Azure Cognitive Service for Language to extract key phrases from customer reviews. They notice that some reviews are not being processed, and the API returns a 400 error code. What is the most likely cause?

Question 12hardmultiple choice
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A company is using Azure Cognitive Service for Language to analyze customer support transcripts. They want to identify custom categories (e.g., 'billing', 'technical support') using a custom text classification model. After training and deploying the model, they receive many false positives for the 'billing' category. What is the best first step to improve model accuracy?

Question 13easymultiple choice
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A company wants to use Azure AI Translator to translate customer emails from English to French. They need to ensure that the translation preserves the tone and formality of the original text. What should they configure in the request?

Question 14mediummultiple choice
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A development team is using the Azure Cognitive Service for Language to perform sentiment analysis on social media posts. They notice that the returned sentiment scores are often neutral for posts that are clearly positive or negative. What is the most likely reason?

Question 15mediummulti select
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Which TWO actions should you take to optimize a custom text classification model in Azure Cognitive Service for Language?

Question 16hardmulti select
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Which THREE components are required to build a custom named entity recognition (NER) model in Azure Cognitive Service for Language?

Question 17mediummultiple choice
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A company is building a chatbot using Azure Bot Service and Language Understanding (LUIS). The chatbot needs to handle user intents for booking flights and checking flight status. After testing, the chatbot frequently fails to distinguish between the two intents when users mention flight numbers. Which action should the engineer take to improve intent recognition?

Question 18hardmultiple choice
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A hospital uses Azure Cognitive Service for Language to extract medical entities from clinical notes. The extraction accuracy for medication names and dosages is low. The engineer needs to improve performance without adding new training data. Which solution should the engineer implement?

Question 19easymultiple choice
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A developer is using Azure Cognitive Service for Language to perform sentiment analysis on customer reviews. The service returns sentiment labels (positive, negative, neutral) and confidence scores. For a particular review, the service returns 'positive' with a confidence score of 0.55. The developer wants to ensure that only high-confidence results are used. What should the developer do?

Question 20mediummulti select
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Which THREE actions should an engineer take when deploying a custom question answering project in Azure Cognitive Service for Language?

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Frequently asked questions

What does the AI-102 exam test about Implement natural language processing solutions?
NAT questions usually test how private addresses are translated, when to use static NAT, dynamic NAT or PAT, and how inside/outside interfaces affect traffic flow.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Implement natural language processing solutions questions in a focused session?
Yes — the session launcher on this page draws every question from the Implement natural language processing solutions domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other AI-102 topics?
Use the topic links above to move to related areas, or go back to the AI-102 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the AI-102 exam covers. They are not copied from any real exam or dump site.