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Microsoft DP-420 Exam Sample Questions

Question # 1

You configure Azure Cognitive Search to index a container in an Azure Cosmos DB Core (SQL) API account as shown in the following exhibit.

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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.

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"

Answer

C.

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

D.

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

Explanation:
C: Avro is binary format, while JSON is text.
F: Kafka Connect for Azure Cosmos DB is a connector to read from and write data to Azure
Cosmos DB. The Azure Cosmos DB sink connector allows you to export data from Apache
Kafka topics to an Azure Cosmos DB database. The connector polls data from Kafka to
write to containers in the database based on the topics subscription.
D: Create the Azure Cosmos DB sink connector in Kafka Connect. The following JSON
body defines config for the sink connector.
Extract:
"connector.class": "com.azure.cosmos.kafka.connect.sink.CosmosDBSinkConnector",
"key.converter": "org.apache.kafka.connect.json.AvroConverter"
"connect.cosmos.containers.topicmap": "hotels#kafka"
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/kafka-connector-sink
https://www.confluent.io/blog/kafka-connect-deep-dive-converters-serialization-explained/

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Question # 3

You have a database in an Azure Cosmos DB Core (SQL) API account. You plan to create a container that will store employee data for 5,000 small businesses. Each business will have up to 25 employees. Each employee item will have an emailAddress value. You need to ensure that the emailAddress value for each employee within the same company is unique. To what should you set the partition key and the unique key? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question # 4

You have a container named container1 in an Azure Cosmos DB Core (SQL) API account. Upserts of items in container1 occur every three seconds. You have an Azure Functions app named function1 that is supposed to run whenever items are inserted or replaced in container1. You discover that function1 runs, but not on every upsert. You need to ensure that function1 processes each upsert within one second of the upsert. Which property should you change in the Function.json file of function1?

A. checkpointInterval

B. leaseCollectionsThroughput

C. maxItemsPerInvocation

D. feedPollDelay

Answer

D.

feedPollDelay

Explanation:
With an upsert operation we can either insert or update an existing record at the same
time.
FeedPollDelay: The time (in milliseconds) for the delay between polling a partition for new
changes on the feed, after all current changes are drained. Default is 5,000 milliseconds, or
5 seconds.
Reference: https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindingscosmosdb-
v2-trigger

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Question # 5

You have an Azure Cosmos DB Core (SQL) API account that is configured for multi-region writes. The account contains a database that has two containers named container1 and container2. The following is a sample of a document in container1: { "customerId": 1234, "firstName": "John", "lastName": "Smith", "policyYear": 2021 } The following is a sample of a document in container2: { "gpsId": 1234, "latitude": 38.8951, "longitude": -77.0364 } You need to configure conflict resolution to meet the following requirements: For container1 you must resolve conflicts by using the highest value for policyYear. For container2 you must resolve conflicts by accepting the distance closest to latitude: 40.730610 and longitude: -73.935242. Administrative effort must be minimized to implement the solution. What should you configure for each container? To answer, drag the appropriate configurations to the correct containers. Each configuration may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

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