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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and implement data models | 35-40% | - Design partitioning strategy
|
| Topic 2: Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Topic 3: Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
|
| Topic 4: Design and implement data distribution | 5-10% | - Manage data distribution and failover
|
| Topic 5: Maintain an Azure Cosmos DB solution | 25-30% | - Manage data movement
|
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NEW QUESTION # 15
You have an Azure Cosmos DB Core (SQL) API account named account1.
In account1, you run the following query in a container that contains 100GB of data.
SELECT *
FROM c
WHERE LOWER(c.categoryid) = "hockey"
You view the following metrics while performing the query.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: No
Each physical partition should have its own index, but since no index is used, the query is not cross-partition.
Box 2: No
Index utilization is 0% and Index Look up time is also zero.
Box 3: Yes
A partition key index will be created, and the query will perform across the partitions.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-query-container
NEW QUESTION # 16
You need to configure the consistency levels on a per-request basis.
Which of the following C# class would you use in the .NET SDK for Azure Cosmos DB SQL API?
Answer: A
Explanation:
The ItemRequestOptions class contains various session token and consistency level configuration properties on a per-request basis.
NEW QUESTION # 17
You have an Azure Cosmos DB container named container! that has a provisioned throughput and two physical partitions. You monitor the following metrics for container1
* Normalized RU consumption
* The percentage of requests that have an HTTP status code of 429
You need to confirm that container1 is configured to maximize resource utilization.
What are the optimal values for each metric? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 18
App1 is an application that reads the data stored in the Azure Cosmos DB Core (SQL) API account. The application runs the same read queries every minute. Eventual is the default consistency level set for the account.
You identify that instead of using the cache, the request units are consumed by every query.
You verify that both the metrics IntegratedCacheiteItemHitRate and
IntegratedCacheQueryHitRate are having values of 0. You also verify the provisioning of the dedicated gateway cluster and its use in the connection string.
You need to ensure that the application App1 uses the Azure Cosmos DB integrated cache.
Which of the following do you need to configure?
Answer: C
Explanation:
As the integrated cache is specific to the Azure Cosmos DB account and needs significant memory and CPU, it needs a dedicated gateway node. Therefore, you need to configure the connectivity mode of the application CosmosClient. Connect to Azure Cosmos DB with the help of gateway mode.
Option A is incorrect. You need to configure the connectivity mode of App1 CosmosClient, not the consistency level of the requests.
Option B is incorrect. There is no need to configure the indexing policy.
Option C is incorrect. Eventual is the default consistency level set for the account. Therefore, configuring the default consistency level of the Azure Cosmos DB account is not the right answer.
Option D is correct. You need to configure the connectivity mode of the application CosmosClient.
Connect to Azure Cosmos DB using gateway mode.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/integrated-cache-faq
NEW QUESTION # 19
You have a container in an Azure Cosmos DB for NoSQL account.
Data update volumes are unpredictable.
You need to process the change feed of the container by using a web app that has multiple instances. The change feed will be processed by using the change feed processor from the Azure Cosmos DB SDK. The multiple instances must share the workload.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: D,E,F
Explanation:
A: Implementing the change feed processor.
The point of entry is always the monitored container, from a Container instance you call GetChangeFeedProcessorBuilder.
C: You define the compute instance name or unique identifier with WithInstanceName, this should be unique and different in each compute instance you are deploying.
F: The lease container: The lease container acts as a state storage and coordinates processing the change feed across multiple workers. The lease container can be stored in the same account as the monitored container or in a separate account.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-processor
NEW QUESTION # 20
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