AI-200 Exam: Audience, Skills, and the AZ-204 Replacement
Who the exam is for, expected experience, current domains, the transition from AZ-204, and why AI-103—not AI-200—replaced AI-102.
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0 of 25 read 0%Who the exam is for, expected experience, current domains, the transition from AZ-204, and why AI-103—not AI-200—replaced AI-102.
Read articleOrganize OCI artifacts, build in Azure, automate triggers, pin digests, version releases, lock production images, and manage registry retention.
Read articleDeploy private images with managed identity, configure ports, storage, health and slots, protect secrets, and troubleshoot with Kudu and Azure Monitor.
Read articleDesign environment boundaries, deploy with CLI and YAML, externalize configuration, pull private images with identity, and verify revisions, replicas, and logs.
Read articleRelease immutable images, control revisions and traffic, use lifecycle actions, diagnose with logs, tune health probes, and balance resources with KEDA scaling.
Read articleConfigure HTTP, TCP, resource, queue, stream, schedule, and custom metric triggers; right-size compute and deliver with revision-aware traffic control.
Read articleCreate Deployments and Services, set replicas and resources, publish with LoadBalancer, apply with kubectl, verify endpoints, and troubleshoot failures.
Read articleExternalize settings, protect credentials, integrate Key Vault, dynamically provision durable storage, choose CSI classes, and prove data survives Pod replacement.
Read articleCorrelate Azure Monitor and kubectl evidence, diagnose Pod states, inspect EndpointSlices, validate Services, and test ingress and load-balancer paths.
Read articleModel resources and partition keys, provision RU/s, authenticate with Microsoft Entra ID, implement Python SDK operations, optimize SQL queries, and build a RAG store.
Read articleStore and index embeddings, query with VectorDistance, combine metadata and RRF hybrid ranking, and refresh vectors through Azure Functions and the change feed.
Read articleDesign selective range, composite, tuple, and vector indexes, measure query efficiency and RU cost, and select consistency guarantees for AI search.
Read articleChoose compute and recovery options, connect with Microsoft Entra ID and TLS, design schemas and queries, and build persistent AI agent memory with Python.
Read articleStore embeddings, tune ANN indexes, maintain evolving vectors, combine semantic and lexical retrieval, and ground RAG answers with citations.
Read articleTune memory and planning, choose and maintain ANN indexes, optimize metadata filters, scale reads, cache results, and pool connections safely.
Read articleDesign cache-aside, content and session caching, select tiers and cluster-aware clients, connect with Microsoft Entra ID, and implement TTL and invalidation.
Read articleBroadcast real-time events, coordinate durable work with consumer groups, recover pending deliveries, scale workers, and combine Pub/Sub with Streams.
Read articleIndex embeddings, run KNN and range queries, filter metadata, choose metrics and numeric types, tune HNSW, and model vectors in Hash or JSON.
Read articleDecouple inference with load leveling, competing consumers, filtered fan-out, structured messages, Peek-Lock, idempotency, lock renewal, and DLQ recovery.
Read articleRoute system and custom events with CloudEvents, filtered subscriptions, push or pull delivery, retries, dead-lettering, batching, monitoring, and secure publishing.
Read articleChoose Flex Consumption or Premium, build HTTP and Service Bus flows, develop locally, secure configuration and identity, and expose MCP tools.
Read articleChoose secrets, keys, or certificates, authorize with RBAC and managed identity, use SecretClient, rotate versions without downtime, and cache safely.
Read articleLoad and compose settings with the Python provider, refresh through a sentinel, evaluate feature flags, resolve Key Vault references, and classify configuration safely.
Read articleInstrument distributed AI services, propagate W3C context, control sampling, export resilient telemetry, and diagnose RAG latency with maps, transactions, and KQL.
Read articleQuery and correlate Application Insights telemetry, analyze tail latency, build operational dashboards and interactive Workbooks, and configure actionable alerts.
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