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| Section | Weight | Objectives |
|---|---|---|
| Maintain an Azure Cosmos DB solution | 25-30% | - DevOps and automation
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Integrate with Azure services
|
| Design and implement data models | 35-40% | - Implement connectivity and data access
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Optimize query performance
|
| Design and implement data distribution | 5-10% | - Manage data distribution and failover
|
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NEW QUESTION # 49
You need to provide a solution for the Azure Functions notifications following updates to con-product. The solution must meet the business requirements and the product catalog requirements.
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
Explanation:
Explanation
leaseCollectionPrefix: when set, the value is added as a prefix to the leases created in the Lease collection for this Function. Using a prefix allows two separate Azure Functions to share the same Lease collection by using different prefixes.
Scenario: Use Azure Functions to send notifications about product updates to different recipients.
Trigger the execution of two Azure functions following every update to any document in the con-product container.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb-v2-trigger
NEW QUESTION # 50
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 to the blog post
Items in the blog post container will be partitioned based on the post ID. Items in the user container will be partitioned based on the user ID.
You need to minimize the number of request units allocated to queries that list all the posts of a given user. The solution must minimize administrative and development effort.
What should you include in the solution?
Answer: A
Explanation:
To achieve the lowest possible Request Units (RU) for querying posts by a specific user while maintaining your current architecture, you should implement Asynchronous Data Denormalization.
Because your Blog Post container is partitioned by postID, a query for "all posts by a specific user" becomes a cross-partition query. These are expensive and do not scale well. To fix this, you must ensure the data required for the query exists in a container where the userID is the partition key.
1. The Optimal Solution: Change Feed + Shadow Container
The most efficient way to handle this with minimal overhead is to create a third "shadow" container or a materialized view.
*-> 2. Alternative: The "In-Partition" User Container
If you want to avoid a third container, you can store "User Profile" items and "Blog Summary" items in the same User container.
Partition Key: /userID
Items:
The User profile (Type: Profile)
Multiple "Post Summary" items (Type: PostSummary)
Query: SELECT * FROM c WHERE c.partitionKey = 'user123' AND c.type = 'PostSummary' Pros: Lowest possible RU; only two containers to manage.
Reference:
https://stackoverflow.com/questions/76622408/cosmos-db-differentiation-strategy-when-storing-multiple-document-types-in-a-sin
NEW QUESTION # 51
You plan to store order data in Azure Cosmos DB for NoSQL account. The data contains information about orders and their associated items.
You need to develop a model that supports order read operations. The solution must minimize the number or requests.
Answer: B
Explanation:
Azure Cosmos DB is a multi-model database that supports various data models, such as documents, key-value, graph, and column-family3. The core content-model of Cosmos DB's database engine is based on atom-record-sequence (ARS), which allows it to store and query different types of data in a flexible and efficient way3.
To develop a model that supports order read operations and minimizes the number of requests, you should consider the following factors:
The size and shape of your data
The frequency and complexity of your queries
The latency and throughput requirements of your application
The trade-offs between storage efficiency and query performance
Based on these factors, one possible model that you could implement is B. Create a single database that contains one container. Create a separate document for each order and embed the order items into the order documents.
This model has the following advantages:
It stores orders and order items as self-contained documents that can be easily retrieved by order ID1.
It avoids storing redundant data or creating additional containers for order items1.
It allows you to view the order history of a customer with simple queries1.
It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.
This model also has some limitations, such as:
It may not be suitable for some order items that have data that is greater than 2 KB, as it could exceed the maximum document size limit of 2 MB2.
It may not be optimal for scenarios where order items need to be queried independently from orders or aggregated by other criteria2.
It may not support transactions across multiple orders or customers, as transactions are scoped to a single logical partition2.
Depending on your specific use case and requirements, you may need to adjust this model or choose a different one. For example, you could use a hybrid data model that combines embedding and referencing data2, or you could use a graph data model that expresses entities and relationships as vertices and edges.
NEW QUESTION # 52
You have an Azure Cosmos DB for NoSQL account named account1 that has a single read-write region and one additional read region. Account1 uses the strong default consistency level.
You have an application that uses the eventual consistency level when submitting requests to account1.
How will writes from the application be handled?
Answer: A
Explanation:
Overriding the default consistency level only applies to reads within the SDK client. An account configured for strong consistency by default will still write and replicate data synchronously to every region in the account. When the SDK client instance or request overrides this with Session or weaker consistency, reads will be performed using a single replica.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
NEW QUESTION # 53
Hotspot Question
You have an Azure Cosmos DB for NoSQL account that hosts a container named Customers.
You need to add customers to Customers by using the Azure Cosmos DB Spark Connector.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 54
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