AI-200 study notes

• Azure Cosmos DB consistency levels explained: strong to eventual

  The five Cosmos DB consistency levels, their RU and latency trade-offs, and when to choose each.

• Service Bus vs Event Grid vs Event Hubs: choosing Azure messaging

  How to tell commands, discrete events and telemetry streams apart and pick the right Azure messaging service.

• Custom KEDA scale rules in Azure Container Apps

  How to define KEDA scalers for queues, topics and other event sources in Container Apps.

• Azure Container Apps revisions: single vs multiple revision mode

  What creates a new revision, and how single and multiple revision modes change deployments.

• pgvector indexes on Azure PostgreSQL: IVFFlat vs HNSW vs DiskANN

  Exact search versus approximate IVFFlat, HNSW and DiskANN indexes, and how to tune each for recall and latency.

• Cache-aside, write-through and invalidation with Azure Managed Redis

  The main Redis caching patterns, how to expire and invalidate entries, and the trade-offs of each.

• Azure Functions hosting plans: Flex Consumption, Premium and cold start

  How the Functions hosting plans differ in scaling, networking and cold start, and which to choose.

• Azure Key Vault access model: RBAC vs access policies

  Control plane versus data plane, Azure RBAC versus vault access policies, and the roles apps need.

About the book · AI-200 terms in the glossary