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| Section | Weight | Objectives |
|---|---|---|
| Design and implement data models | 35-40% | - Implement server-side programming
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Optimize query performance
|
| Design and implement data distribution | 5-10% | - Design and implement replication strategy
|
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NEW QUESTION # 160
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account. The account hosts two containers named Customers and Sale Transactions. The Customers container stores customer data.
Each customer data item includes a field named numberOfSales that must be updated when an item is added to the SaleTransactions container.
You need to ensure referential integrity between the containers. The solution must meet the following requirements:
- Detect changes to the SaleTransactions container.
- Apply a new aggregate count to the related items in the Customers
container.
What should you use to implement each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 161
Hotspot Question
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 # 162
You have an Azure Cosmos DB for NoSQL account named account1 that supports an application named App1. App1 uses the consistent prefix consistency level.
You configure account1 to use a dedicated gateway and integrated cache.
You need to ensure that App1 can use the integrated cache.
Which two actions should you perform for APP1? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
the Azure Cosmos DB integrated cache is an in-memory cache that is built-in to the Azure Cosmos DB dedicated gateway. The dedicated gateway is a front-end compute that stores cached data and routes requests to the backend database. You can choose from a variety of dedicated gateway sizes based on the number of cores and memory needed for your workload1. The integrated cache can reduce the RU consumption and latency of read operations by serving them from the cache instead of the backend containers2.
For your scenario, to ensure that App1 can use the integrated cache, you should perform these two actions:
* Change the account endpoint to https://account1.sqlx.cosmos.azure.com. This is the dedicated gateway endpoint that you need to use to connect to your Azure Cosmos DB account and leverage the integrated cache. The standard gateway endpoint (https://account1.documents.azure.com) will not use the integrated cache2.
* Change the consistency level of requests to session. This is the highest consistency level that is supported by the integrated cache. If you use a higher consistency level (such as strong or bounded staleness), your requests will bypass the integrated cache and go directly to the backend containers
NEW QUESTION # 163
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.
Hotspot Question
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:
Box 1: Provisioned throughput
Provisioned throughput is best suited for workloads with sustained traffic requiring predictable performance.
Billing model: Billing is done on a per-hour basis for the RU/s provisioned, regardless of how many RUs were consumed.
Scenario: Ensure that Azure Cosmos DB costs for IoT-related processing are predictable.
Note: Azure Cosmos DB is available in two different capacity modes: provisioned throughput and serverless. You can perform the exact same database operations in both modes, but the way you get billed for these operations is radically different.
Box 2: Manual throughput on itocont1 and iotcont2
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/throughput-serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-provision-autoscale-throughput
NEW QUESTION # 164
You have a container m an Azure Cosmos DB for NoSQL account. The container stores data about families. Data about parents, children, and pets are stored as separate documents.
Each document contains the address of each family. Members of the same family share the same partition key named family Id You need to update the address for each member of the same family that share the same address. The solution must meet the following requirements:
* Be atomic consistent isolated, and durable (ACID).
* Provide the lowest latency.
What should you do?
Answer: A
NEW QUESTION # 165
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