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| Section | Objectives |
|---|---|
| Design and implement data distribution | - Replication and consistency
|
| Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Integrate Azure Cosmos DB with Azure services | - Event-driven architectures
|
| Design and implement data models for Azure Cosmos DB | - Design indexing strategies
|
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NEW QUESTION # 69
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?
Answer: C
Explanation:
According to the Azure Cosmos DB documentation12, the change feed is a persistent record of changes to a container in the order they occur. The change feed outputs the sorted list of documents that were changed in the order in which they were modified.
The Azure function that has a trigger on the change feed receives all the properties of the updated items2. The change feed does not include the original items or only the changed properties. The change feed also includes some system-defined properties such as _ts (the last modified timestamp) and _lsn (the logical sequence number)3.
Therefore, the correct answer is:
NEW QUESTION # 70
You have an Azure Cosmos DB Core (SQL) account that has a single write region in West Europe.
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:
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-multi-master
https://docs.microsoft.com/en-us/azure/cosmos-db/optimize-cost-regions
NEW QUESTION # 71
Case Study 1 - Litware, inc
Overview
Litware, Inc. is a United States-based grocery retailer. Litware has a main office and a primary datacenter in Seattle. The company has 50 retail stores across the United States and an emerging online presence. Each store connects directly to the internet. Existing environment.
Cloud and Data Service Environments. Litware has an Azure subscription that contains the resources shown in the following table.
Each container in productdb is configured for manual throughput. The con-product container stores the company's product catalog data. Each document in con-product includes a con- productvendor value. Most queries targeting the data in con-product are in the following format.
SELECT * FROM con-product p WHERE p.con-productVendor - 'name'
Most queries targeting the data in the con-productVendor container are in the following format SELECT * FROM con-productVendor pv ORDER BY pv.creditRating, pv.yearFounded Existing environment.
Current Problems.
Litware identifies the following issues:
- Updates to product categories in the con-productVendor container do not propagate automatically to documents in the con-product container.
- Application updates in con-product frequently cause HTTP status code 429 "Too many requests".
- You discover that the 429 status code relates to excessive request unit (RU) consumption during the updates.
Requirements.
Planned Changes
Litware plans to implement a new Azure Cosmos DB for NoSQL account named account2 that will contain a database named iotdb. The iotdb database will contain two containers named con- iot1 and con-iot2.
Litware plans to make the following changes:
- Store the telemetry data in account2.
- Configure account1 to support multiple read-write regions.
- Implement referential integrity for the con-product container.
- Use Azure Functions to send notifications about product updates to different recipients.
- Develop an app named App1 that will run from all locations and query the data in account1.
- Develop an app named App2 that will run from the retail stores and query the data in account2.
- App2 must be limited to a single DNS endpoint when accessing account2.
Requirements.
Business Requirements
Litware identifies the following business requirements:
- Whenever there are multiple solutions for a requirement, select the solution that provides the best performance, as long as there are no additional costs associated.
- Ensure that Azure Cosmos DB costs for IoT-related processing are predictable.
- Minimize the number of firewall changes in the retail stores.
Requirements.
Product Catalog Requirements
Litware identifies the following requirements for the product catalog:
- Implement a custom conflict resolution policy for the product catalog data.
- Minimize the frequency of errors during updates of the con-product container.
- Once multi-region writes are configured, maximize the performance of App1 queries against the data in account1.
- Trigger the execution of two Azure functions following every update to any document in the con- product container.
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: A,C
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 # 72
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.
NEW QUESTION # 73
You have a database named db1 in an Azure Cosmos DB for NoSQL account named account1. The db1 database has a manual throughput of 4,000 request units per second (RU/s).
You need to move db1 from manual throughput to autoscale throughput by using the Azure CLI. The solution must provide a minimum of 4,000 RU/s and a maximum of 40,000 RU/s.
How should you complete the CLI statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Migrate
40000
According to the Azure CLI reference1, you need to use the az cosmosdb sql database throughput migrate command to migrate the throughput of the SQL database between autoscale and manually provisioned. You also need to use the --throughput-type parameter to specify the type of throughput to migrate to, and the --max-throughput parameter to specify the maximum throughput resource can scale to (RU/s).
To complete the CLI statements, you should replace the missing values with:
* --throughput-type autoscale
* --max-throughput 40000
The final command should look like this:
az cosmosdb sql database throughput migrate \
--account-name account1 \
--name db1 \
--resource-group rg1 \
--throughput-type autoscale \
--max-throughput 40000
NEW QUESTION # 74
......
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