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Candidates who plan to take the Microsoft DP-420 exam should have a solid understanding of Azure Cosmos DB and cloud-native application development principles. They should also have practical experience in building distributed applications and working with cloud technologies. Microsoft offers training courses and resources to help candidates prepare for the exam, including online courses, study guides, and practice exams.
The Microsoft DP-420 Exam DP-420 is aimed at professionals who have experience in designing and implementing Cosmos DB solutions. DP-420 exam is intended for those who are looking to enhance their knowledge and skills in cloud-native application development by leveraging Microsoft Azure Cosmos DB. DP-420 exam covers various topics related to Cosmos DB, including data modeling, partitioning, indexing, querying, and performance tuning.
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The DP-420 Certification Exam covers a wide range of topics related to Azure Cosmos DB, including data modeling, partitioning, indexing, querying, and tuning. Candidates are expected to have a deep understanding of how to use Azure Cosmos DB to build scalable, resilient, and highly available cloud-native applications. They should also be familiar with Azure services such as Azure Functions, Azure App Service, and Azure Event Grid.
NEW QUESTION # 149
You have an app that stores data in an Azure Cosmos DB Core (SQL) API account The app performs queries that return large result sets.
You need to return a complete result set to the app by using pagination. Each page of results must return 80 items.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Configure the MaxItemCount in QueryRequestOptions
You can specify the maximum number of items returned by a query by setting the MaxItemCount. The MaxItemCount is specified per request and tells the query engine to return that number of items or fewer.
Box 2: Run the query and provide a continuation token
In the .NET SDK and Java SDK you can optionally use continuation tokens as a bookmark for your query's progress. Azure Cosmos DB query executions are stateless at the server side and can be resumed at any time using the continuation token.
If the query returns a continuation token, then there are additional query results.
Step 3: Append the results to a variable
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-pagination
NEW QUESTION # 150
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.
Answer: A,B,E
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"
Incorrect Answers:
B: JSON is plain text.
Note, full example:
{
"name": "cosmosdb-sink-connector",
"config": {
"connector.class": "com.azure.cosmos.kafka.connect.sink.CosmosDBSinkConnector",
"tasks.max": "1",
"topics": [
"hotels"
],
"value.converter": "org.apache.kafka.connect.json.AvroConverter",
"value.converter.schemas.enable": "false",
"key.converter": "org.apache.kafka.connect.json.AvroConverter",
"key.converter.schemas.enable": "false",
"connect.cosmos.connection.endpoint": "Error! Hyperlink reference not valid.",
"connect.cosmos.master.key": "<cosmosdbprimarykey>",
"connect.cosmos.databasename": "kafkaconnect",
"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/
NEW QUESTION # 151
You have a database in an Azure Cosmos DB for NoSQL account that is configured for multi-region writes.
You need to use the Azure Cosmos DB SDK to implement the conflict resolution policy for a container. The solution must ensure that any conflict sent to the conflict feed.
Solution: You set ConfilictResolutionMode t Custom and you use the default settings for the policy.
Does this meet the goal?
Answer: A
Explanation:
Explanation
Setting ConflictResolutionMode to Custom and using the default settings for the policy will not ensure that conflicts are sent to the conflict feed. You need to define a custom stored procedure using the
"conflictingItems" parameter to handle conflicts properly.
NEW QUESTION # 152
You are building an application that will store data in an Azure Cosmos DB for NoSQL account. The account uses the session default consistency level. The account is used by five other applications. The account has a single read-write region and 10 additional read regions.
Approximately 20 percent of the items stored in the account are updated hourly.
Several users will access the new application from multiple devices.
You need to ensure that the users see the same item values consistently when they browse from the different devices. The solution must not affect the other applications.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
NEW QUESTION # 153
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure Synapse pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?
Answer: A
Explanation:
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution
NEW QUESTION # 154
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