- A
Use the batch processing API
Why wrong: Batch processing is not low-latency.
- B
Export the model as a Docker container
Why wrong: Export/import is not needed for deployment.
- C
Obtain the endpoint URL and primary key from Language Studio
Endpoint URL and key are needed to call the API.
- D
Deploy the model to a real-time endpoint
Real-time endpoint is required for low-latency REST API access.
- E
Deploy to a test endpoint in the Azure portal
Why wrong: No 'test' endpoint exists.
Question 611 of 993
AI-102 Practice Question: Implement natural language processing solutions
This AI-102 practice question tests your understanding of implement natural language processing solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer is deploying a custom text classification model in Azure AI Language. The model must be accessible via a REST API with low latency. Which TWO actions should the developer take?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Obtain the endpoint URL and primary key from Language Studio
Option C is correct because the endpoint URL and primary key are required to authenticate and route REST API requests to the deployed model. Language Studio provides these credentials after the model is deployed to a real-time endpoint, enabling low-latency inference via the Azure AI Language API.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the batch processing API
Why it's wrong here
Batch processing is not low-latency.
- ✗
Export the model as a Docker container
Why it's wrong here
Export/import is not needed for deployment.
- ✓
Obtain the endpoint URL and primary key from Language Studio
Why this is correct
Endpoint URL and key are needed to call the API.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Deploy the model to a real-time endpoint
Why this is correct
Real-time endpoint is required for low-latency REST API access.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Deploy to a test endpoint in the Azure portal
Why it's wrong here
No 'test' endpoint exists.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse batch processing with real-time inference, assuming that any API endpoint can provide low latency, or they mistakenly think exporting to a Docker container is the standard way to expose a model via REST in Azure.
Detailed technical explanation
How to think about this question
Real-time endpoints in Azure AI Language use a dedicated, always-on compute resource that processes single requests with sub-second latency, ideal for interactive applications. The endpoint URL and primary key are generated upon deployment and must be included in the HTTP header (e.g., 'Ocp-Apim-Subscription-Key') for every REST API call. In contrast, batch processing uses a job-based model where results are polled asynchronously, making it unsuitable for low-latency scenarios.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Obtain the endpoint URL and primary key from Language Studio — Option C is correct because the endpoint URL and primary key are required to authenticate and route REST API requests to the deployed model. Language Studio provides these credentials after the model is deployed to a real-time endpoint, enabling low-latency inference via the Azure AI Language API.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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