Quick Answer
The answer is Azure AI Language, the correct service for performing sentiment analysis with Azure AI Language on unstructured customer feedback. This service, part of Azure Cognitive Services, is purpose-built for text analytics, using pre-trained machine learning models to evaluate sentiment scores and extract key phrases from survey comments and social media posts, making it ideal for mixed structured and unstructured data scenarios. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your ability to match Azure services to specific data workloads—here, distinguishing Azure AI Language from other Cognitive Services like Translator or Vision. A common trap is confusing it with Azure Cognitive Search, which indexes data but does not perform sentiment analysis. Memory tip: think "Language for Language"—if the task involves analyzing written text, Azure AI Language is your go-to.
This DP-900 practice question tests your understanding of describe an analytics workload 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.
A company wants to analyze customer feedback from surveys and social media. The data includes both structured (ratings) and unstructured (comments) text. They plan to use Azure Cognitive Services for sentiment analysis. Which service should they use for text analytics?
Azure Synapse Analytics
Why wrong: Not a service for text analytics.
Azure Cosmos DB
Why wrong: No built-in sentiment analysis.
Azure AI Language
Provides pre-built sentiment analysis for text.
Azure Machine Learning
Why wrong: For custom models, not pre-built sentiment.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure AI Language
Azure AI Language (formerly part of Azure Cognitive Services) provides pre-built text analytics capabilities, including sentiment analysis, key phrase extraction, and language detection. This service is specifically designed to process unstructured text data like survey comments and social media posts, making it the correct choice for analyzing customer feedback.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Synapse Analytics
Why it's wrong here
Not a service for text analytics.
Azure Cosmos DB
Why it's wrong here
No built-in sentiment analysis.
Azure AI Language
Why this is correct
Provides pre-built sentiment analysis for text.
Related concept
Read the scenario before looking for a memorised answer.
Azure Machine Learning
Why it's wrong here
For custom models, not pre-built sentiment.
Common exam traps
The trap here is that candidates may confuse Azure Synapse Analytics or Azure Machine Learning as general-purpose analytics tools, overlooking that Azure AI Language is the dedicated, pre-built service for text analytics tasks like sentiment analysis.
Detailed technical explanation
Azure AI Language uses pre-trained deep learning models based on transformer architectures (like BERT) to analyze text. The sentiment analysis feature returns a sentiment label (positive, negative, neutral, or mixed) and confidence scores at both the document and sentence level, enabling granular analysis of customer opinions. In a real-world scenario, a company could feed thousands of social media posts into the service via its REST API or SDK to aggregate sentiment trends over time.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Azure AI Language — Azure AI Language (formerly part of Azure Cognitive Services) provides pre-built text analytics capabilities, including sentiment analysis, key phrase extraction, and language detection. This service is specifically designed to process unstructured text data like survey comments and social media posts, making it the correct choice for analyzing customer feedback.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
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