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| Section | Objectives |
|---|---|
| Topic 1: Integrate Azure Cosmos DB with Azure services | - Data pipelines and analytics
|
| Topic 2: Design and implement data distribution | - Replication and consistency
|
| Topic 3: Design and implement data models for Azure Cosmos DB | - Design indexing strategies
|
| Topic 4: Optimize and maintain Cosmos DB solutions | - Performance optimization
|
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NEW QUESTION # 69
Hotspot Question
You have an Azure Cosmos DB for NoSQL account that hosts the containers shown in the following table.
You need to implement a solution for processing changes to author names. The solution must use a change feed and an Azure Function and must meet the following requirements:
- Ensure that when a name change occurs, the authorName field in the
Books container is updated within 30 minutes.
- Minimize costs.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 70
You have an Azure Cosmos DB for NoSQL account that hosts a container named Container1.
You implement a change feed processor.
You discover that the processor is processing changes more slowly than the changes occur in Container1.
You need to resolve the issue.
What should you use?
Answer: D
NEW QUESTION # 71
You have a container in an Azure Cosmos DB for NoSQL account. The container stores data about families. Data about parents, children, and pets are stored as separate documents.
Each document contains the address of each family. Members of the same family share the same partition key named familyId.
You need to update the address for each member of the same family that share the same address. The solution must meet the following requirements:
- Be atomic, consistent, isolated, and durable (ACID).
- Provide the lowest latency.
What should you do?
Answer: A
Explanation:
Each transaction provides ACID (Atomicity, Consistency, Isolation, Durability) property guarantees.
Transactional batch operations offer reduced latency on equivalent operations.
Note: Transactional batch describes a group of point operations that need to either succeed or fail together with the same partition key in a container. In the .NET SDK, the TransactionalBatch class is used to define this batch of operations. If all operations succeed in the order they are described within the transactional batch operation, the transaction will be committed. However, if any operation fails, the entire transaction is rolled back.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/transactional-batch
NEW QUESTION # 72
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: B,D,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": "https://<cosmosinstance-name>.documents.azure.com:443/",
"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 # 73
You have a container named container! in an Azure Cosmos DB for NoSQL account.
You need to provide a user named User1 with the ability to insert items into container1 by using role-based access The solution must use the principle of least privilege.
Which roles should you assign to User1?
Answer: B
Explanation:
The Cosmos DB Built-in Data Contributor role provides the necessary permissions to insert items into a container in an Azure Cosmos DB for NoSQL account. This role grants the minimum required privileges for the described task, adhering to the principle of least privilege.
NEW QUESTION # 74
......
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