Match each Azure AI service to its use case.
Drag a concept onto its matching description — or click a concept then click the description.
Detect offensive content
Deliver personalized recommendations
Identify unusual patterns in time series
Help users with reading comprehension
Interpret user intents from text
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Computer Vision: Extract text from images (OCR)
Each Azure AI service is designed for specific tasks: Computer Vision for image analysis (e.g., OCR), Translator for text translation, Speech for speech-to-text, and Anomaly Detector for time series pattern detection. Common confusions arise from overlapping capabilities like text extraction vs translation.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Computer Vision: Extract text from images (OCR)
Why this is correct
Azure Computer Vision's OCR capabilities, implemented through the Read API, extract printed and handwritten text from images and documents. The service returns text content along with bounding boxes, confidence scores, and layout information, making it ideal for digitizing forms, receipts, or signs. It is distinct from translation because it only recognizes characters and words without changing their language.
Translator: Translate text between languages
Why this is correct
Azure Translator is a cloud-based machine translation service that uses neural machine translation to convert text between languages while preserving context and semantic meaning. It provides a REST API for real-time text translation and supports dozens of languages, which is essential for cross-language communication. Translator operates purely on text input, not on images or audio, so it does not perform OCR or speech recognition.
Speech: Convert speech to text
Why this is correct
Azure Speech's speech-to-text capability, often called speech transcription, converts audio into text by analyzing acoustic features and matching them against language models. It can process real-time audio streams or batch files and supports custom models, punctuation, and diarization for scenarios like meeting transcripts. This service is specifically for audio input, not for text manipulation or image analysis.
Anomaly Detector: Identify unusual patterns in time series data
Why this is correct
Azure Anomaly Detector uses time series analysis and machine learning to identify unusual patterns, spikes, or dips in temporal data. The service learns historical trends and seasonal patterns, then flags deviations that may indicate failures or fraud, making it suitable for IoT device monitoring or financial metrics. It is a specialized analytics service, not an OCR, translation, or speech offering.
Computer Vision: Translate text between languages
Why it's wrong here
This pairing is incorrect because Computer Vision does not perform language translation; its OCR extracts text from images but leaves the language unchanged. Translation between languages is the exclusive function of Azure Translator, which accepts plain text as input. While Computer Vision can detect text in many languages, it has no capacity to rephrase that text in a different language.
Speech: Extract key phrases from text
Why it's wrong here
This pairing is incorrect because key phrase extraction is a natural language processing task handled by the Azure Language service (formerly Text Analytics), not by Azure Speech. Azure Speech focuses on audio processing, such as converting speech to text or text to speech, and does not analyze textual content for key phrases. To extract key phrases, you would first use speech-to-text to obtain the transcript and then pass it to the Language service.
Go deeper
Learn chapter
Azure Machine Learning Studio
Key term
OCR
Optical Character Recognition is technology that converts images of text, like scanned documents or photos, into machine-readable text data.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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