AZ-204 Practice Question: Connect to and consume Azure services and third-party services
A company develops a web app that processes images uploaded by users. The app uses Azure Cognitive Services to analyze images for moderation. The solution must minimize latency when calling the Cognitive Services endpoint. Which service should the developer use to call the endpoint?
⚠ Common exam trap
Many exam-takers confuse Azure Traffic Manager's DNS-level load balancing with Front Door's application-layer acceleration, assuming both provide similar latency benefits, but only Front Door offers anycast-based edge routing and TLS termination to minimize network hops.
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 Front Door
Azure Front Door is a global, scalable entry point that uses the Microsoft global edge network to route user traffic to the nearest regional Cognitive Services endpoint. It provides anycast-based acceleration and TLS termination at the edge, which minimizes latency by reducing the number of network hops and enabling connection reuse. This makes it the optimal choice for low-latency calls to Cognitive Services from a web app.
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 Traffic Manager
Why it's wrong here
Azure Traffic Manager is a DNS-based global load balancer that routes client requests to the most appropriate service endpoint based on various routing methods like priority, performance, or geographic location. While it ensures high availability and responsiveness by directing users to the closest application instance, it operates at the DNS level and does not optimize the underlying network path or accelerate the connection between the web app and a separate backend service like Azure Cognitive Services. It primarily focuses on endpoint availability and client-to-application routing, not inter-service communication acceleration.
- ✓
Azure Front Door
Why this is correct
Azure Front Door is a global, scalable entry-point that uses Microsoft's global edge network to provide fast, secure, and highly available web applications. It acts as a reverse proxy, leveraging Anycast IP and TCP split to terminate client connections at the closest edge location, then routing requests over Microsoft's optimized backbone network to the backend. This significantly reduces latency for users and accelerates calls to backend services like Azure Cognitive Services by optimizing the network path and providing caching capabilities, making it ideal for improving global application performance.
- ✗
Azure API Management
Why it's wrong here
Azure API Management serves as an API gateway, enabling organizations to publish, secure, transform, and monitor APIs. While it offers features like caching, rate limiting, and policy enforcement, its primary role is API lifecycle management and governance, not network acceleration for backend service calls. Introducing API Management typically adds a processing layer and potential latency due to policy execution, rather than directly optimizing the network path or reducing the inherent latency of calls to external services like Cognitive Services.
- ✗
Azure Blob Storage with a public endpoint
Why it's wrong here
Azure Blob Storage is an object storage solution designed for storing large amounts of unstructured data, such as images, videos, and documents. While it can host static web content and provide public access to stored files, its function is purely data persistence and retrieval. Using Blob Storage with a public endpoint allows the web app to store and retrieve images, but it does not contribute to accelerating or optimizing the network calls made from the web app to Azure Cognitive Services for image processing. It's a data repository, not a network performance enhancer.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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