Objective 4.0

Describe features of Natural Language Processing workloads on Azure

AI-900 Practice Questions

Use this page to practise NAT and PAT questions. Understanding the difference between inside local and inside global addresses — and when each NAT type is appropriate — is the fastest way to eliminate wrong answers.

Full Practice Test →All Objectives

What this objective tests

AI-900 Describe features of Natural Language Processing workloads on Azure — Key Topics

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

Common exam traps

Where candidates lose marks on Describe features of Natural Language Processing workloads on Azure

⚠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 a security ACL.
⚠Static NAT maps one private address to one public address; PAT overloads translations.

AI-900 Describe features of Natural Language Processing workloads on Azure — Practice Questions

30 questions from this objective

Question 2hardmultiple choice

Read the full NAT/PAT explanation →

A healthcare organization needs to extract specific data elements (such as patient names, medication dosages, and dates) from unstructured doctors' notes. Which Azure Cognitive Service is best suited for this task?

Question 3mediummultiple choice

Read the full NAT/PAT explanation →

A hospital wants to create a system that can transcribe doctor-patient conversations in real time and also extract medical conditions, medications, and dosages from the transcribed text. Which combination of Azure AI services should they use?

Question 4mediummultiple choice

Describe features of Natural Language Processing workloads on Azure

AI-900 Describe features of Natural Language Processing workloads on Azure — Key Topics

Where candidates lose marks on Describe features of Natural Language Processing workloads on Azure

AI-900 Describe features of Natural Language Processing workloads on Azure — Practice Questions

A healthcare organization needs to extract specific data elements (such as patient names, medication dosages, and dates) from unstructured doctors' notes. Which Azure Cognitive Service is best suited for this task?

A hospital wants to create a system that can transcribe doctor-patient conversations in real time and also extract medical conditions, medications, and dosages from the transcribed text. Which combination of Azure AI services should they use?

An online news platform receives thousands of articles daily. The editors want to automatically identify the most important topics discussed in each article to help with content categorization. Which Azure Text Analytics capability should they use?

A retail company collects thousands of customer reviews. They want to automatically extract frequently mentioned aspects (e.g., 'battery life', 'customer service', 'price') to understand common topics. Which Azure AI Language capability should they use?

A law firm receives hundreds of legal documents daily. They want to use Azure AI Language to automatically assign each document to exactly one predefined category, such as 'Contract', 'Trademark', or 'Litigation'. Which Azure AI Language feature is specifically designed for this task?

A customer support team wants to analyze chat transcripts to identify the most common issues customers are reporting. They need to automatically extract meaningful phrases like 'slow internet connection' and 'billing error' from the conversations. Which Azure AI Language feature should they use?

A customer support team wants to automatically extract the most important words or short phrases from each customer service ticket to understand common issues. Which Azure AI Language feature should they use?

A marketing team wants to automatically analyze thousands of product reviews to determine if each review expresses a positive, negative, or neutral opinion about the product. Which Azure AI Language feature should they use?

A hospital receives patient notes in free text. They need to automatically identify entities like disease names, medications, and dosages from these notes without requiring any custom training. Which Azure AI Language feature is specifically designed for this medical entity extraction task?

A news agency wants to automatically extract the names of people and organizations mentioned in thousands of articles. They plan to use a prebuilt Azure AI Language feature that requires no custom training. Which feature should they use?

A law firm needs to automatically detect and redact sensitive information such as names, addresses, and social security numbers from legal documents. Which Azure AI Language feature can detect these entities without custom training?

A legal firm needs to automatically produce a short summary of each lengthy court ruling, highlighting the most important sentences. Which Azure AI Language feature should they use?

A travel agency wants to build a chatbot that can automatically answer customer questions about flight status by extracting answers from a PDF document containing FAQs. Which Azure AI Language feature should they use to directly query this content?

A global news organization receives articles in multiple languages. They need to first identify the language of each article, then translate it into English. Which combination of prebuilt Azure AI services should they use?

A marketing team wants to automatically analyze thousands of customer reviews to identify the most commonly discussed aspects, such as 'price', 'durability', or 'customer service'. They do not have any labeled data for custom training. Which prebuilt Azure AI Language feature should they use?

All AI-900 Objectives

Describe features of Natural Language Processing workloads on Azure

AI-900 Describe features of Natural Language Processing workloads on Azure — Key Topics

Where candidates lose marks on Describe features of Natural Language Processing workloads on Azure

AI-900 Describe features of Natural Language Processing workloads on Azure — Practice Questions

A healthcare organization needs to extract specific data elements (such as patient names, medication dosages, and dates) from unstructured doctors' notes. Which Azure Cognitive Service is best suited for this task?

A hospital wants to create a system that can transcribe doctor-patient conversations in real time and also extract medical conditions, medications, and dosages from the transcribed text. Which combination of Azure AI services should they use?

An online news platform receives thousands of articles daily. The editors want to automatically identify the most important topics discussed in each article to help with content categorization. Which Azure Text Analytics capability should they use?

A retail company collects thousands of customer reviews. They want to automatically extract frequently mentioned aspects (e.g., 'battery life', 'customer service', 'price') to understand common topics. Which Azure AI Language capability should they use?

A law firm receives hundreds of legal documents daily. They want to use Azure AI Language to automatically assign each document to exactly one predefined category, such as 'Contract', 'Trademark', or 'Litigation'. Which Azure AI Language feature is specifically designed for this task?

A customer support team wants to analyze chat transcripts to identify the most common issues customers are reporting. They need to automatically extract meaningful phrases like 'slow internet connection' and 'billing error' from the conversations. Which Azure AI Language feature should they use?

A customer support team wants to automatically extract the most important words or short phrases from each customer service ticket to understand common issues. Which Azure AI Language feature should they use?

A marketing team wants to automatically analyze thousands of product reviews to determine if each review expresses a positive, negative, or neutral opinion about the product. Which Azure AI Language feature should they use?

A hospital receives patient notes in free text. They need to automatically identify entities like disease names, medications, and dosages from these notes without requiring any custom training. Which Azure AI Language feature is specifically designed for this medical entity extraction task?

A news agency wants to automatically extract the names of people and organizations mentioned in thousands of articles. They plan to use a prebuilt Azure AI Language feature that requires no custom training. Which feature should they use?

A law firm needs to automatically detect and redact sensitive information such as names, addresses, and social security numbers from legal documents. Which Azure AI Language feature can detect these entities without custom training?

A legal firm needs to automatically produce a short summary of each lengthy court ruling, highlighting the most important sentences. Which Azure AI Language feature should they use?

A travel agency wants to build a chatbot that can automatically answer customer questions about flight status by extracting answers from a PDF document containing FAQs. Which Azure AI Language feature should they use to directly query this content?

A global news organization receives articles in multiple languages. They need to first identify the language of each article, then translate it into English. Which combination of prebuilt Azure AI services should they use?

A marketing team wants to automatically analyze thousands of customer reviews to identify the most commonly discussed aspects, such as 'price', 'durability', or 'customer service'. They do not have any labeled data for custom training. Which prebuilt Azure AI Language feature should they use?

All AI-900 Objectives