Question 1

You are designing an Azure Cosmos DB database for a global IoT application.

Millions of devices will write telemetry data continuously. The data will be queried heavily by a dashboard that filters by `DeviceId` and `Date`. You need to select a partition key that ensures even distribution of storage and throughput (Request Units) to avoid 'hot partitions'.

Which TWO partition key strategies would be effective? (Select TWO)

Accepted Answer

Look for high cardinality (many unique values) and even write distribution. Avoid properties that group all current writes together (like Date).

Question 2

What mistakes do candidates make on this AZ-305 question?

Accepted Answer

Selecting 'Date'. Partitioning by date is an anti-pattern for write-heavy workloads because all writes for the current day hit a single physical partition, causing throttling.

How to approach this question

Full Answer

Common mistakes

Practice the full Azure Solutions Architect Expert AZ-305 Practice Exam 4

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