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| Section | Objectives |
|---|---|
| Topic 1: Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Plan security and compliance requirements - Select appropriate Azure AI services |
| Topic 2: Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Topic 3: Implement Azure AI solutions | - Implement computer vision solutions - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement natural language processing solutions |
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NEW QUESTION # 101
Drag and Drop Question
You are configuring sampling for a distributed application that sends traces to Azure Monitor.
The solution must
- Preserve upstream sampling decisions across distributed traces.
- Capture all spans during local testing.
- Sample 10 percent of traces in production.
You need to apply the appropriate sampling configuration for each requirement.
What should you do? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: ParentBasedSampler
ParentBasedSampler is the correct setup to use because it inspects incoming trace context and honors the sampling decision made by an upstream parent span.
Conserves Decisions: If an upstream service marks a trace as sampled or dropped, the ParentBasedSampler delegates the exact same decision to downstream child services.
Prevents Broken Traces: It avoids gaps in end-to-end telemetry by ensuring entire transaction chains are kept or discarded together.
Box 2: AlwaysOnSampler
AlwaysOnSampler is the correct setup to use because it samples every single span (100% trace capture rate) without dropping any telemetry, making it ideal for local development, debugging, and testing.
AlwaysOnSampler: Samples and records 100% of all traces and spans regardless of volume or upstream decisions.
Box 3: TraceIdRatioBasedSampler(0.1)
To capture exactly 10 percent of traces in production using OpenTelemetry and Azure Monitor, you should use TraceIdRatioBasedSampler(0.1).
Fixed-Rate Sampling: Azure Monitor and standard OpenTelemetry configurations achieve a fixed percentage rate by evaluating the randomly generated 128-bit Trace ID.
Ratio Representation: A sampling ratio between 0 and 1 represents the percentage. Passing a parameter of 0.1 mathematically translates to capturing exactly 10% of your production traffic.
Reference:
https://medium.com/@varun_0K/sampling-strategies-in-distributed-tracing-a-comprehensive-guide-6e80092068c3
https://learn.microsoft.com/en-us/azure/azure-monitor/app/application-insights-faq
NEW QUESTION # 102
You have container source code stored in a Git repository.
The container registry must automatically build and store a new container image whenever a developer commits code to the Git repository.
You must minimize the use of an external build infrastructure.
You need to configure Azure Container Registry (ACR) to manage the build process natively and automatically.
Which two ACR components should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
Azure Container Registry Tasks provides Azure-hosted container build capabilities, eliminating the need to maintain external Docker build servers or dedicated CI build infrastructure. A Quick task uses commands such as az acr build to send the build context to ACR-managed compute, where Azure builds the container image and, by default, pushes the successfully built image directly into the registry. Microsoft describes quick tasks as cloud-based, on-demand build-and-push operations that do not require a local Docker Engine.
For automatic execution after source-code changes, use a Source-triggered task . ACR Tasks can associate a task with a GitHub or Azure Repos repository and automatically execute the image build whenever code is committed to the configured branch. Microsoft documents that when a commit occurs, the source-control trigger causes ACR Tasks to build and push the resulting image.
A Webhook is not the required standalone ACR build component here. ACR Tasks creates and manages the necessary source-repository webhook as part of configuring the source trigger. An Artifact Cache rule caches upstream container artifacts and does not build application images from Git commits.
Study Guide references: Azure Container Registry Tasks # Quick tasks; Automatically triggered tasks; Source-code commit triggers; cloud-based image builds.
NEW QUESTION # 103
You are designing an Azure Database for PostgreSQL table for semantic search. Queries frequently filter on the created_at column. The schema must support vector similarity search and reliable date filtering You need to ensure that the table meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
Detailed Explanation: A semantic-search schema should use the pgvector vector type for embeddings so PostgreSQL can apply vector distance operators and vector indexes. The creation timestamp should use an actual timestamp data type so comparisons, range predicates, ordering, and indexes use date semantics rather than string ordering. Storing vectors or dates as free-form character data would sacrifice type validation and make similarity or date filtering less efficient and less reliable.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Vector similarity search with Azure PostgreSQL
NEW QUESTION # 104
-
You are preparing a container image for deployment to production.
The container image build and deployment process must ensure the following:
*The image is uniquely versioned.
*Secure authentication is used when pushing the image to Azure Container Registry (ACR).
*The image is stored in ACR for deployment.
You need to ensure that the container image build-and-push process meets the requirements.
Which action should you perform for each requirement? To answer, move the appropriate actions to the correct requirements. You may use each action once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Ensure that the image is versioned: Use a unique tag for the image.
* Allow secure push to ACR: Authenticate to ACR by using Microsoft Entra ID.
* Store the image in the registry for deployment: Push the image to ACR.
For production deployments, each image should receive a unique tag so that a specific build can be identified and deployed consistently. Microsoft recommends unique tags for deployments because each pushed image receives a distinct version reference instead of reusing mutable tags such as latest. Typical unique-tagging schemes include build IDs, timestamps, or source-control identifiers.
Before pushing the image, authenticate to Azure Container Registry by using Microsoft Entra ID . Microsoft recommends Azure identity-based authentication, such as through az acr login, rather than relying on long- lived registry administrator credentials. Appropriate Azure RBAC/data-plane permissions must also permit the identity to push artifacts.
Finally, use a push operation such as docker push < registry > .azurecr.io/ < repository > : < tag > to upload the tagged image and its layers to ACR. Once pushed successfully, the image is stored in the registry and can be referenced by downstream deployment services.
Build the image locally is not mapped to any stated requirement. Building may be necessary in some workflows, but it does not itself provide unique versioning, authentication, or storage in ACR.
Study Guide references: Azure Container Registry # image tagging and versioning; Microsoft Entra authentication; pushing container images; repositories and artifacts.
NEW QUESTION # 105
You are developing several microservices to run on Azure Container Apps.
You need to monitor and diagnose the microservices.
Which features should you use? To answer, select the appropriate feature in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
View console logs from a container in near real-time: Log streaming
* Debug the microservice from inside the container: Container console
For near-real-time troubleshooting, use Log streaming . Azure Container Apps supports streaming both system logs and container console logs directly through the Azure portal or Azure CLI. Microsoft documents that container console logs originate from the application ' s stdout and stderr streams, and the log-streaming feature can display them in near real time. This is the correct feature when developers need immediate visibility into container output without waiting for log ingestion into a monitoring workspace.
To debug the application from inside the running container , use the Container console . Azure Container Apps allows operators to connect interactively to a container by using the portal console or the az containerapp exec command. From there, they can run commands through shells such as bash or sh, inspect files, test network connectivity, examine environment variables, and troubleshoot runtime behavior directly in the container context.
Azure Monitor metrics are appropriate for aggregated performance measurements rather than interactive container debugging. Azure Monitor Log Analytics is useful for historical queries and centralized analysis, but Microsoft notes that ingested logs can have a delay of several minutes, so it is not the best choice for near- real-time console output.
Study Guide references: Azure Container Apps # Log streaming; Container console; observability; Azure Monitor integration; interactive troubleshooting.
NEW QUESTION # 106
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