Implement Solutions Across Services DP-420 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   You need to maintain referential integrity between documents in two Azure Cosmos DB containers. You plan to use the change feed and an Azure Function. What is the primary purpose of this pattern?

   • ATo improve query performance by creating indexes on related fields
   • BTo ensure that related documents are updated or deleted consistently across containers
   • CTo enforce foreign key constraints like a relational database
   • DTo create a backup of all documents in a secondary container
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2. 2foundation · easy

   You are implementing Azure AI Search to enhance search capabilities for data stored in Azure Cosmos DB. What is the primary purpose of using Azure AI Search in this solution?

   • ATo enforce referential integrity between Cosmos DB containers
   • BTo provide full-text search, fuzzy search, and relevance ranking over Cosmos DB data
   • CTo provide a real-time change feed for Cosmos DB
   • DTo replace Cosmos DB as the primary data store
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4. 3foundation · easy

   You need to generate real-time sales totals from a container of orders in Azure Cosmos DB. You plan to use the change feed and an Azure Function. What is the most appropriate way to maintain the totals?

   • ARun a full scan of the orders container on every change to recalculate totals
   • BStore the totals in a separate aggregation container and update them incrementally as changes occur
   • CUse the change feed to export all orders to a data warehouse for batch processing
   • DUse the change feed to create a materialized view in a SQL database
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5. 4foundation · easy

   You are building a solution that must automatically process each document inserted into an Azure Cosmos DB container. You plan to use an Azure Function to handle the processing. Which Azure Functions trigger should you use?

   • ABlob trigger
   • BHTTP trigger
   • CCosmos DB trigger
   • DTimer trigger
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6. 5foundation · easy

   What is a key advantage of using the change feed with Azure Functions for data aggregation compared to running periodic batch jobs?

   • AIt guarantees exactly-once processing of every change
   • BIt provides near-real-time updates to aggregated data
   • CIt automatically scales to zero when there are no changes
   • DIt eliminates the need for any storage of aggregated data
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