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| Section | Objectives |
|---|---|
| Design and implement data distribution | - Partitioning and scaling
|
| Design and implement data models for Azure Cosmos DB | - Design indexing strategies
|
| Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Integrate Azure Cosmos DB with Azure services | - Event-driven architectures
|
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NEW QUESTION # 29
Hotspot Question
You have an Azure Cosmos DB account named account1 that has a default consistency level of session.
You have an app named App1.
You need to ensure that the read operations of App1 can request either bounded staleness or consistent prefix consistency.
What should you modify for each consistency level? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Consistency can only be relaxed at the SDK instance or request level. To move from weaker to stronger consistency, update the default consistency for the Azure Cosmos DB account.
https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/how-to-manage-consistency?tabs=portal%2Cdotnetv2%2Capi-async
NEW QUESTION # 30
Vou have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Customers. Multi-region writes are allowed.
You execute the following C# code.
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:
NEW QUESTION # 31
You have an Azure Cosmos DB for NoSQL container named Contained that has a provisioned throughput of 1,000 request units per second (RU/s). Contained is queried by using an app named App1.
Users of App1 report that several times a day, they receive the following error message: "HTTP error code 429" You need to improve the reliability of App1 without affecting the performance of the app.
What are two ways to improve the reliability? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
Diagnose and troubleshoot Azure Cosmos DB request rate too large (429) exceptions There are different error messages that correspond to different types of 429 exceptions:
(D) *-> Request rate is large. More Request Units may be needed, so no changes were made.
The request didn't complete due to a high rate of metadata requests.
*-> The request didn't complete due to a transient service error.
(E) Rate limiting due to transient service error
This 429 error is returned when the request encounters a transient service error. Increasing the RU/s on the database or container will have no impact and isn't recommended.
Recommended solution
Retry the request. If the error persists for several minutes, file a support ticket from the Azure portal.
Note: A "Request rate too large" exception, also known as error code 429, indicates that your requests against Azure Cosmos DB are being rate limited.
When you use provisioned throughput, you set the throughput measured in request units per second (RU/s) required for your workload.
Database operations against the service such as reads, writes, and queries consume some number of request units (RUs).
In a given second, if the operations consume more than the provisioned request units, Azure Cosmos DB will return a 429 exception. Each second, the number of request units available to use is reset.
There are different error messages that correspond to different types of 429 exceptions:
(D) *-> Request rate is large. More Request Units may be needed, so no changes were made.
The request didn't complete due to a high rate of metadata requests.
(E) *-> The request didn't complete due to a transient service error.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/troubleshoot-request-rate-too-large
NEW QUESTION # 32
You need to select the capacity mode and scale configuration for account2 to support the planned changes and meet the business requirements. What should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 33
You need to identify which connectivity mode to use when implementing App2. The solution must support the planned changes and meet the business requirements.
Which connectivity mode should you identify?
Answer: C
Explanation:
Scenario: 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.
By using Azure Private Link, you can connect to an Azure Cosmos account via a private endpoint. The private endpoint is a set of private IP addresses in a subnet within your virtual network.
When you're using Private Link with an Azure Cosmos account through a direct mode connection, you can use only the TCP protocol. The HTTP protocol is not currently supported.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/how-to-configure-private-endpoints
Topic 1, Litware, inc
Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
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 Core (SQL) API 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.
NEW QUESTION # 34
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