AZ-204 Practice Question: Connect to and consume Azure services and third-party services
A developer is building an app that uses Azure Cognitive Services Text Analytics. The app needs to detect the language of text input. Which Azure SDK method should be called?
⚠ Common exam trap
It's easy for candidates to confuse the purpose of Text Analytics methods, mistakenly selecting `ExtractKeyPhrases` or `AnalyzeSentiment` because they assume language detection is part of those operations, rather than recognizing it as a separate, dedicated API method.
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
✓
DetectLanguage
The correct method is `DetectLanguage` because the Azure Cognitive Services Text Analytics API provides a dedicated operation for identifying the language of input text. This method returns the detected language along with a confidence score, making it the appropriate choice for the requirement of detecting language from text input.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
DetectLanguage
Why this is correct
The DetectLanguage operation within Azure AI Language (formerly Text Analytics) is specifically designed to identify the primary language of a given input text. It analyzes the linguistic patterns and vocabulary to return a standardized language code, such as 'en' for English or 'es' for Spanish, along with a confidence score. This functionality is crucial for applications that need to process multilingual content or route text to language-specific models for further analysis.
- ✗
ExtractKeyPhrases
Why it's wrong here
The ExtractKeyPhrases operation focuses on identifying the main topics or concepts within a text, rather than its language. It processes the input to return a list of significant noun phrases that summarize the core ideas, like 'cloud computing' or 'customer feedback system.' This feature is primarily used for content summarization, indexing, or building tag clouds, and it does not provide any information about the language in which the text is written.
- ✗
AnalyzeSentiment
Why it's wrong here
AnalyzeSentiment is an Azure AI Language feature dedicated to evaluating the emotional tone of text. It processes the input to determine whether the sentiment expressed is positive, neutral, or negative, providing a sentiment label and confidence scores for each category. This operation is vital for understanding user feedback or social media reactions, but its purpose is distinct from identifying the natural language of the document itself.
- ✗
RecognizeEntities
Why it's wrong here
The RecognizeEntities operation, part of Azure AI Language, performs Named Entity Recognition (NER) to identify and categorize specific entities within text. It extracts structured information such as people, locations, organizations, dates, and quantities, for example, identifying 'Satya Nadella' as a person or 'Seattle' as a location. While it enriches text with valuable contextual metadata, its function is to extract specific data points, not to determine the overall language of the input text.
Go deeper
Related to this question
About these practice questions
This AZ-204 question is part of Courseiva's 881-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AZ-204 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 AZ-204 exam.