Quick Answer
The correct answer is the DetectLanguage method. This is because the Azure Cognitive Services Text Analytics SDK provides a dedicated method for language detection, which analyzes text input and returns the dominant language along with a confidence score. The Text Analytics client, instantiated via the TextAnalyticsClient class, exposes this method to handle the language detection task directly, distinguishing it from other SDK methods like AnalyzeSentiment for sentiment analysis or ExtractKeyPhrases for key phrase extraction. On the Microsoft Azure Developer Associate AZ-204 exam, this question tests your familiarity with the Text Analytics SDK’s method mapping, often appearing as a straightforward scenario where you must match the task to the correct API call. A common trap is confusing DetectLanguage with RecognizeEntities, but remember: language detection is about identifying the language itself, not extracting named entities. For a quick memory tip, think “DetectLanguage detects the language—it’s in the name.”
This AZ-204 practice question tests your understanding of connect to and consume azure services and third-party services. 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 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?
DetectLanguage
DetectLanguage is the correct method to detect the language of text.
ExtractKeyPhrases
Why wrong: ExtractKeyPhrases extracts key phrases, not language.
AnalyzeSentiment
Why wrong: AnalyzeSentiment is for sentiment analysis, not language detection.
RecognizeEntities
Why wrong: RecognizeEntities identifies entities, not language.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
DetectLanguage
Option A is correct because the Text Analytics client's DetectLanguage method is used to detect language. Option B (AnalyzeSentiment) is for sentiment; Option C (ExtractKeyPhrases) is for key phrases; Option D (RecognizeEntities) is for entities.
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.
DetectLanguage
Why this is correct
DetectLanguage is the correct method to detect the language of text.
Related concept
Read the scenario before looking for a memorised answer.
ExtractKeyPhrases
Why it's wrong here
ExtractKeyPhrases extracts key phrases, not language.
AnalyzeSentiment
Why it's wrong here
AnalyzeSentiment is for sentiment analysis, not language detection.
RecognizeEntities
Why it's wrong here
RecognizeEntities identifies entities, not language.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Keyword trap
ExtractKeyPhrases extracts key phrases, not language.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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
Identify which AZ-204 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Connect to and consume Azure services and third-party services — This question tests Connect to and consume Azure services and third-party services — Read the scenario before looking for a memorised answer..
The correct answer is: DetectLanguage — Option A is correct because the Text Analytics client's DetectLanguage method is used to detect language. Option B (AnalyzeSentiment) is for sentiment; Option C (ExtractKeyPhrases) is for key phrases; Option D (RecognizeEntities) is for entities.
Identify which AZ-204 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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