AI-102 Implement computer vision solutions Practice Question
You need to choose Azure services to build a computer vision pipeline that ingests images from multiple sources, extracts text using OCR, and stores extracted metadata in a Cosmos DB database. Which TWO services should you use?
⚠ Common exam trap
A common mix-up: candidates confuse Azure Cognitive Search as a text extraction service because of its 'cognitive skills' feature, but it is primarily a search indexer that can optionally enrich data, not a direct OCR pipeline component for this specific requirement.
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
✓
Azure AI Vision
Azure AI Vision (option A) provides the OCR capability needed to extract text from images via its Read API, which is the core requirement of the pipeline. Azure Functions (option C) is the correct compute service to orchestrate the ingestion, call the OCR API, and write the extracted metadata to Cosmos DB, as it supports event-driven triggers and can scale with image volume. Together, they form a serverless pipeline that meets the stated requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure AI Vision
Why this is correct
Provides OCR capabilities.
- ✗
Azure Cognitive Search
Why it's wrong here
Used for search, not metadata storage.
- ✓
Azure Functions
Why this is correct
Orchestrates the pipeline with custom code.
- ✗
Azure Logic Apps
Why it's wrong here
While possible, Functions is more common for custom pipelines.
- ✗
Azure Blob Storage
Why it's wrong here
Stores images, not metadata.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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