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DP-420 Exam Dumps : Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

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Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Questions and Answers

Question 1

You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.

You need to provide a user named User1 with the ability to insert items into container1 by using role-based access control (RBAC). The solution must use the principle of least privilege.

Which roles should you assign to User1?

Options:

A.

CosmosDB Operator only

B.

DocumentDB Account Contributor and Cosmos DB Built-in Data Contributor

C.

DocumentDB Account Contributor only

D.

Cosmos DB Built-in Data Contributor only

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Question 2

You need to configure an Apache Kafka instance to ingest data from an Azure Cosmos DB Core (SQL) API account. The data from a container named telemetry must be added to a Kafka topic named iot. The solution must store the data in a compact binary format.

Which three configuration items should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

A.

" connector.class " : " com.azure.cosmos.kafka.connect.source.CosmosDBSourceConnector "

B.

" key.converter " : " org.apache.kafka.connect.json.JsonConverter "

C.

" key.converter " : " io.confluent.connect.avro.AvroConverter "

D.

" connect.cosmos.containers.topicmap " : " iot#telemetry "

E.

" connect.cosmos.containers.topicmap " : " iot "

F.

" connector.class " : " com.azure.cosmos.kafka.connect.source.CosmosDBSinkConnector "

Question 3

Vou have an Azure Cosmos DB for NoSQL account that hosts a container named Container1. Contained has analytical store enabled, analytical TTL is set to 7 flays.

An application performs frequent updates to Container 1 and uses TTL to remove expired items.

Vou plan to build an incremental export from Container! to a downstream sink by using change data capture (CDC) in the analytical store and running the export from Azure Data Factory mapping data flows-

You need to configure CDC to meet the following requirement!

• The first run must include only changes from the last three days.

• The RUs required to perform the first run must be minimized.

• Subsequent runs must capture inserts updates, deletes, and TTL operations.

• The process must NOT rely on custom checkpoints based on the _is property,

Which CDC start option should you configure for the source?

Options:

A.

Start from the beginning, and set analytical TTL to 3 days so that the first CDC read contains only the last three days.

B.

Start from a specific timestamp set to now. and configure the pipeline to backfill the previous three days by querying the analytical store with a _is fitter

C.

Start from a specific timestamp set to three days ago.

D.

Start from the beginning, and set the dataflow to write rows only where the CDC operation time is within the last three days.