Question 1mediummultiple choice
Full question →AI-900 · topic practice
Describe Features Of Natural Language Processing Workloads On Azure practice questions
Use this page to practise AI-900 Describe Features Of Natural Language Processing Workloads On Azure practice questions. The goal is not to memorise dumps, but to understand the concept, review the explanation and improve your exam readiness.
20 questionsDomain: Describe Features Of Natural Language Processing Workloads On Azure
What the exam tests
What to know about Describe Features Of Natural Language Processing Workloads On Azure
Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.
IaaS, PaaS and SaaS responsibilities and examples.
Public, private, hybrid and community cloud deployment models.
On-premises vs cloud trade-offs: cost, control, scalability.
How cloud connectivity options (VPN, Direct Connect, ExpressRoute) work.
Practice set
Describe Features Of Natural Language Processing Workloads On Azure questions
20 questions · select your answer, then reveal the explanation
Question 2hardmultiple choice
Full question →A developer is building a customer support chatbot using Azure OpenAI. The chatbot should never reveal its system instructions or internal configuration. The developer wants to add a rule at the beginning of the conversation to prevent prompt injection attacks. Which technique should they use?
Question 3hardmultiple choice
Full question →A developer is using Azure OpenAI Service to generate product descriptions from technical specifications. The generated descriptions sometimes include plausible-sounding but incorrect details (hallucinations). The developer wants to ensure the model's responses are strictly based on the provided product data and does not add any external or invented information. Which approach should the developer use?
Question 4hardmultiple choice
Full question →A developer is using Azure OpenAI with GPT-4 to build a chatbot that answers legal questions based on a company's internal policy documents. The developer wants the model's responses to be maximally deterministic and factual, avoiding any creative or speculative language. Which parameter should the developer set to the lowest possible value in the API call?
Question 5hardmultiple choice
Full question →A developer is using Azure OpenAI to generate creative product descriptions. The outputs are often repetitive and lack variety. The developer wants to increase the diversity of the generated text while still keeping it coherent. Which parameter should the developer increase?
Question 6easymultiple choice
Full question →A developer is using Azure OpenAI Service to generate product descriptions. They want the output to be highly focused and deterministic, with less randomness. Which parameter should they decrease?
Question 7mediummultiple choice
Full question →A developer is using Azure OpenAI Service to classify customer support tickets into categories such as 'Billing', 'Technical Issue', and 'Account Management'. The developer provides three labeled examples for each category in the prompt to improve the model's accuracy. What technique is the developer applying?
Question 8easymultiple choice
Full question →A developer is using Azure OpenAI Service to generate Python code snippets. They notice that the generated code often contains repetitive function definitions and loops. Which parameter should be increased to reduce this repetition?
Question 9easymultiple choice
Full question →A developer wants to use Azure OpenAI to generate text that follows a specific style, such as formal business letters. They provide three examples of the desired output format in the prompt and then ask the model to generate a new letter. Which technique is the developer using?
Question 10easymultiple choice
Full question →A parking management company uses cameras at the entrance and exit of a lot. They need to automatically read the license plate numbers of each car as it enters and exits. Which Azure Computer Vision capability is specifically designed for this task?
Question 11easymultiple choice
Full question →A social media company uses an AI system to automatically filter hate speech. After deployment, they discover the system flags posts from a specific ethnic group at a much higher rate than posts from other groups, even when the content is similar. Which Microsoft responsible AI principle is most directly relevant?
Question 12mediummultiple choice
Full question →A company uses Azure OpenAI Service to generate product descriptions for an e-commerce site. They want to ensure that the generated descriptions never contain offensive, violent, or hateful content. Which built-in feature should the developer enable in the Azure OpenAI Service?
Question 13mediummultiple choice
Full question →A company wants to use Azure OpenAI Service to generate product descriptions. They need to ensure the model's output is based on their specific product catalog and pricing, not on generic information. Which approach should they use?
Question 14easymultiple choice
Full question →A company is developing an AI system to recommend movies to users. The team wants to ensure that the recommendations do not discriminate based on gender or ethnicity. Which Microsoft responsible AI principle is most directly related to this goal?
Question 15hardmultiple choice
Full question →A customer service organization has thousands of support tickets labeled with predefined categories such as 'Billing', 'Technical', and 'Account Management'. They want to build a solution that automatically assigns a category to new, incoming tickets. The categories are fixed and known in advance. Which Azure AI Language service feature should they use?
Question 16mediummultiple choice
Full question →A data scientist has a dataset with 100 features and 10,000 samples. They want to reduce the number of features while retaining as much variance as possible, to improve model training speed and reduce overfitting. Which technique should they use?
Question 17mediummultiple choice
Full question →A customer support team wants to automatically analyze thousands of product reviews. Their goal is to extract the most frequently mentioned topics (e.g., 'battery life', 'customer service', 'screen quality') without manually reading each review. Which Azure AI Language feature should they use?
Question 18mediummultiple choice
Full question →A city's traffic department wants to predict the number of cars that will cross a particular bridge each day to plan maintenance schedules. The output of the model should be a numerical value representing the estimated traffic count. Which type of machine learning task is this?
Question 19mediummultiple choice
Full question →A company implements an AI system to monitor employee productivity by tracking keystrokes and mouse movements. Employees are not informed that this monitoring is taking place, nor did they consent to it. Which Microsoft responsible AI principle is most directly violated?
Question 20mediummultiple choice
Full question →A company wants to build a chatbot that can answer questions based on its internal policy documents. The documents are stored in Azure Blob Storage. They plan to use Azure OpenAI to generate answers. Which approach should they use to ensure the answers are grounded in the actual policy content?
Watch out for
Common Describe Features Of Natural Language Processing Workloads On Azure exam traps
- ▸IaaS gives you infrastructure control; SaaS gives you only the application.
- ▸Hybrid cloud combines on-premises and public cloud — not two public clouds.
- ▸Cloud does not automatically mean cheaper or more secure.
- ▸Management responsibility shifts with each service model (IaaS → PaaS → SaaS).
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Frequently asked questions
- What does the AI-900 exam test about Describe Features Of Natural Language Processing Workloads On Azure?
- Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.
- 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 Describe Features Of Natural Language Processing Workloads On Azure questions in a focused session?
- Yes — the session launcher on this page draws every question from the Describe Features Of Natural Language Processing Workloads On Azure 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-900 topics?
- Use the topic links above to move to related areas, or go back to the AI-900 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-900 exam covers. They are not copied from any real exam or dump site.
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Exam traps to avoid
- ▸IaaS gives you infrastructure control; SaaS gives you only the application.
- ▸Hybrid cloud combines on-premises and public cloud — not two public clouds.
- ▸Cloud does not automatically mean cheaper or more secure.
- ▸Management responsibility shifts with each service model (IaaS → PaaS → SaaS).