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| Section | Objectives |
|---|---|
| Design and implement data distribution | - Partitioning and scaling
|
| Optimize and maintain Cosmos DB solutions | - Monitoring and troubleshooting
|
| Design and implement data models for Azure Cosmos DB | - Model data for NoSQL workloads
|
| Integrate Azure Cosmos DB with Azure services | - Event-driven architectures
|
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問題 #86
You have a database in an Azure Cosmos DB Core (SQL) API account.
You plan to create a container that will store employee data for 5,000 small businesses. Each business will have up to 25 employees. Each employee item will have an emailAddress value.
You need to ensure that the emailAddress value for each employee within the same company is unique.
To what should you set the partition key and the unique key? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
Box 1: CompanyID
After you create a container with a unique key policy, the creation of a new or an update of an existing item resulting in a duplicate within a logical partition is prevented, as specified by the unique key constraint. The partition key combined with the unique key guarantees the uniqueness of an item within the scope of the container.
For example, consider an Azure Cosmos container with Email address as the unique key constraint and CompanyID as the partition key. When you configure the user ' s email address with a unique key, each item has a unique email address within a given CompanyID. Two items can ' t be created with duplicate email addresses and with the same partition key value.
Box 2: emailAddress
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/unique-keys
問題 #87
You have a container named contained in an Azure Cosmos DB for NoSQL account.
The following is a sample of a document in container1.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
問題 #88
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.
答案：
解題說明：
問題 #89
You have an Azure Cosmos DB for NoSQL account named account1 that has a single write region in the East US Azure region and read regions in the West Europe and Southeast Asia Azure regions. Service-managed failover is enabled, and the West Europe region is highest in the failover priority list.
You have an app named App1 that uses the Azure Cosmos DB .NET SDK.
You need to minimize how long it takes for App1 to resume writes after a regional outage. The solution must meet the following requirements:
- Ensure that read latency is optimized for the West Europe and
Southeast Asia regions.
- Minimize code changes for App1.
What should you do?
答案：B
解題說明：
To satisfy all constraints, you should enable multi-region writes on the Azure Cosmos DB account
[assume this already done] and configure the ApplicationRegion property in the .NET SDK client initialization.
Resuming Writes Instantly: With multi-region writes enabled, every region becomes a valid write location. If the primary region experiences an outage, active-active capability prevents the database from performing a traditional database-level failover. This lowers write recovery time to zero since alternate regions can immediately ingest traffic.
*-> Optimized Read and Write Latency: Passing the ApplicationRegion property (e.g., Regions.WestEurope) to the SDK allows it to locate the nearest active geographic replica. This guarantees low-latency local reads and writes within West Europe and Southeast Asia.
*-> Minimal Code Changes: Instead of hardcoding complex prioritized lists via ApplicationPreferredRegions, setting the single ApplicationRegion string automatically creates an ordered fallback list behind the scenes based on geographic proximity.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/troubleshoot-dotnet-sdk-slow-request
問題 #90
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named accounts In account1, you plan to create a container that will store the data items shown in the following table.
Each customer item will have customer sales by month values embedded.
The most executed query will return data for a matrix that aggregates the monthly sales ot each business category. The matrix will use customer business categories as columns and months as rows.
You need to configure the partition key for the container. The solution must minimize the request units (RUs) required to run the query.
Which property should you use for the partition key?
答案：A
問題 #91
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