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| Section | Objectives |
|---|---|
| Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Design and implement data models for Azure Cosmos DB | - Model data for NoSQL workloads
|
| Design and implement data distribution | - Partitioning and scaling
|
| Integrate Azure Cosmos DB with Azure services | - Data pipelines and analytics
|
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NEW QUESTION # 30
Hotspot Question
You have an Azure Cosmos DB container named container1 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 contained 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:
NEW QUESTION # 31
You have an Azure Cosmos DB for NoSQL account named accounts1.
You plan to implement the integrated cache for account1.
You need to configure the connectivity mode and the consistency level for requests that target account1. The solution must maximize consistency while using the integrated cache.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 32
Hotspot Question
You plan to create an Azure Cosmos DB database named db1 that will contain two containers.
One of the containers will contain blog posts, and the other will contain users. Each item in the blog post container will include:
- A single blog post
- All the comments associated to the blog post
- The names of the users who created the blog post and added the
comments
You need to design a solution to update usernames in the user container without causing data integrity issues. The solution must minimize administrative and development effort.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 33
You have three containers in an Azure Cosmos DB Core (SQL) API account as shown in the following table.
You have the following Azure functions:
A function named Fn1 that reads the change feed of cn1
A function named Fn2 that reads the change feed of cn2
A function named Fn3 that reads the change feed of cn3
You perform the following actions:
Delete an item named item1 from cn1.
Update an item named item2 in cn2.
For an item named item3 in cn3, update the item time to live to 3,600 seconds.
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
Azure Cosmos DB's change feed is a great choice as a central data store in event sourcing architectures where all data ingestion is modeled as writes (no updates or deletes).
Note: The change feed does not capture deletes. If you delete an item from your container, it is also removed from the change feed. The most common method of handling this is adding a soft marker on the items that are being deleted. You can add a property called "deleted" and set it to "true" at the time of deletion. This document update will show up in the change feed. You can set a TTL on this item so that it can be automatically deleted later.
Box 2: No
The _etag format is internal and you should not take dependency on it, because it can change anytime.
Box 3: Yes
Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos container for any changes.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/change-feed-design-patterns
https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed
NEW QUESTION # 34
Hotspot Question
You have a container in an Azure Cosmos DB for NoSQL account.
You need to use the Azure Cosmos DB SDK to replace a document by using optimistic concurrency.
What should you include in the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: ConsistencyLevel
The ItemRequestOptions Class ConsistencyLevel property gets or sets the consistency level required for the request in the Azure Cosmos DB service.
Azure Cosmos DB offers 5 different consistency levels. Strong, Bounded Staleness, Session, Consistent Prefix and Eventual - in order of strongest to weakest consistency.
Box 2: _etag
The ItemRequestOptions class helped us implement optimistic concurrency by specifying that we wanted the SDK to use the If-Match header to allow the server to decide whether a resource should be updated. The If-Match value is the ETag value to be checked against. If the ETag value matches the server ETag value, the resource is updated.
Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.cosmos.itemrequestoptions
https://cosmosdb.github.io/labs/dotnet/labs/10-concurrency-control.html
NEW QUESTION # 35
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