- A
A service that hires human translators to manually translate documents
Why wrong: Human translation services are provided by translation agencies — Custom Translator trains machine translation models on your documents.
- B
A service for training custom machine translation models on domain-specific parallel texts
Custom Translator trains specialized MT models on your parallel texts — improving translation quality for technical, medical, or legal terminology.
- C
A feature that lets users customize the output language font and formatting
Why wrong: Output formatting is presentation — Custom Translator is about improving translation quality through domain-specific model training.
- D
A tool for automatically detecting which language content should be translated into
Why wrong: Language detection is a separate feature — Custom Translator trains domain-specialized translation models.
AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure
This AI-900 practice question tests your understanding of describe features of natural language processing workloads on azure. 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.
What is Azure AI Translator's 'custom translator' service?
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
A service for training custom machine translation models on domain-specific parallel texts
Azure AI Translator's 'custom translator' service allows users to build and train custom machine translation models using parallel documents (source-target sentence pairs) specific to a domain, such as legal or medical terminology. This improves translation accuracy for specialized content beyond what the general-purpose neural machine translation engine provides.
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.
- ✗
A service that hires human translators to manually translate documents
Why it's wrong here
Human translation services are provided by translation agencies — Custom Translator trains machine translation models on your documents.
- ✓
A service for training custom machine translation models on domain-specific parallel texts
Why this is correct
Custom Translator trains specialized MT models on your parallel texts — improving translation quality for technical, medical, or legal terminology.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
A feature that lets users customize the output language font and formatting
Why it's wrong here
Output formatting is presentation — Custom Translator is about improving translation quality through domain-specific model training.
- ✗
A tool for automatically detecting which language content should be translated into
Why it's wrong here
Language detection is a separate feature — Custom Translator trains domain-specialized translation models.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'customizing translation output' (like font or formatting) with 'customizing the translation model itself' (domain-specific training), leading them to pick Option C instead of B.
Trap categories for this question
Command / output trap
Output formatting is presentation — Custom Translator is about improving translation quality through domain-specific model training.
Detailed technical explanation
How to think about this question
Custom Translator uses a neural machine translation (NMT) architecture that fine-tunes a pre-trained base model using parallel corpora in a process called transfer learning. The service requires a minimum of 10,000 parallel sentences to start training, and it automatically evaluates model quality using BLEU (Bilingual Evaluation Understudy) scores. In practice, a healthcare provider could train a custom model on medical discharge summaries to correctly translate 'MI' as 'myocardial infarction' rather than 'michigan'.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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-900 question test?
Describe features of Natural Language Processing workloads on Azure — This question tests Describe features of Natural Language Processing workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: A service for training custom machine translation models on domain-specific parallel texts — Azure AI Translator's 'custom translator' service allows users to build and train custom machine translation models using parallel documents (source-target sentence pairs) specific to a domain, such as legal or medical terminology. This improves translation accuracy for specialized content beyond what the general-purpose neural machine translation engine provides.
What should I do if I get this AI-900 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: Jun 11, 2026
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