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Free AI-200 sample questions

Real questions from the Developing AI Cloud Solutions on Azure practice bank, with the correct answer and an explanation for each one. No junk, no filler.

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Showing 6 of 12 free sample questions.

Question 1Choose one

A machine learning engineering team is deploying Python-based backend inference services to Azure. The team wants to build container images directly from application source code within Azure Container Registry (ACR) without authoring or maintaining a Dockerfile, and without running a local Docker daemon. Which Azure CLI command should the team execute?

Question 2Choose 2

A cloud architect is designing an automated container build pipeline using Azure Container Registry (ACR) Tasks for an enterprise RAG application. The solution must automatically recompile and tag the backend container image whenever the underlying Ubuntu-based runtime base image is patched by the vendor, and must also execute a multi-step task defined in a YAML configuration file. Which TWO capabilities should the architect configure? (Select TWO)

Question 3Choose one

An organization deploys an AI text-generation API to Azure Container Apps in multiple revision mode. The engineering team deploys a new revision named `api-service--v2` containing an updated model prompt template. Before shifting any production user traffic to `v2`, QA engineers must perform integration tests directly against `v2` via an HTTPS endpoint without routing any incoming public traffic from the primary application domain. What should the engineer do to provide a dedicated access URL to `v2`? flowchart LR PublicUsers[Public Users] --> MainURL[Main Ingress URL] MainURL -->|100% Traffic| Rev1[Revision: api-service--v1] QAEngineers[QA Engineers] -.-> DedicatedURL[Dedicated Revision URL?] DedicatedURL -.-> Rev2[Revision: api-service--v2]

Question 4Choose one

Contoso Financial Services runs an intelligent document processing system deployed on Azure Container Apps. The system utilizes multiple microservices, with the core extraction engine running as a containerized Python workload. The extraction engine is currently deployed in single revision mode. During peak business hours, the container app maintains 12 active replicas to process incoming loan underwriting documents. The development team has committed an updated revision containing performance optimizations and an updated vector retrieval library. The deployment of the new revision must achieve zero downtime. Active incoming customer traffic must not experience dropped connections or HTTP 503 Service Unavailable errors. Traffic must transition to the new revision only when the new revision is fully capable of handling production load. Under Azure Container Apps single revision mode, what specific criteria must be met before Azure Container Apps deprovisions the previous revision and routes 100% of traffic to the newly deployed revision?

Question 5Choose one

A systems administrator needs to configure revision labels for an Azure Container App in multiple revision mode. According to Azure Container Apps naming rules, which of the following is a valid revision label?

Question 6Choose one

An engineer is configuring an HTTP scale rule for a conversational AI backend hosted on Azure Container Apps. The container app currently has `minReplicas` set to `0`, `maxReplicas` set to `15`, and `--scale-rule-http-concurrency` configured to `25`. During an idle period after high traffic, incoming requests cease entirely. The team notices that the app takes exactly 300 seconds to scale from 1 replica down to 0 replicas, whereas earlier reductions between 10 replicas and 4 replicas occurred much faster. Why does this behavior occur?

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