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| Section | Weight | Objectives |
|---|
| Design and implement data distribution | 5-10% | - Design and implement replication strategy
- 1. Define automatic failover policies
- 2. Choose a consistency model
- 3. Choose when to distribute data
- 4. Perform manual failovers
- 5. Evaluate consistency model impacts
- Design and implement multi-region writes
- 1. Implement multi-region writes
- 2. Choose when to use multi-region writes
- 3. Implement conflict resolution policies
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Optimize query performance
- 1. Adjust indexing policies
- 2. Implement integrated cache
- 3. Calculate query cost
- 4. Retrieve request unit cost
- Define and implement indexing strategy
- 1. Choose read-heavy or write-heavy indexing
- 2. Implement composite indexes
- 3. Choose appropriate index types
- 4. Configure custom indexing policies
- 5. Optimize index performance
- Design and implement change feeds
- 1. Manage change feed instances
- 2. Develop Azure Functions triggers
- 3. Consume change feeds using SDK
- 4. Implement aggregation persistence
|
| Design and implement data models | 35-40% | - Implement server-side programming
- 1. Implement triggers
- 2. Write and deploy stored procedures
- 3. Implement user-defined functions
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
- 1. Store multiple entity types in the same container
- 2. Denormalize data across documents
- 3. Store multiple related entities in the same document
- 4. Identify data and associated access patterns
- 5. Reference between documents
- 6. Identify partition key, id, and unique keys
- Plan and implement sizing and scaling
- 1. Evaluate global distribution costs
- 2. Choose between serverless, provisioned, and free tier
- 3. Configure throughput
- 4. Evaluate throughput and storage requirements
- 5. Design resource governance and scaling
- Design a data partitioning strategy
- 1. Implement synthetic partition keys
- 2. Evaluate throughput and data distribution
- 3. Choose a partitioning strategy
- 4. Evaluate cross-partition query cost
- 5. Choose a partition key
- 6. Plan for transactions with partition keys
- Implement client connectivity options
- 1. Create database connections
- 2. Use Azure Cosmos DB emulator
- 3. Choose gateway or direct connectivity mode
- 4. Configure client-side threading and logging
- 5. Implement singleton client
- 6. Handle connection errors
- Implement data access
- 1. Implement patch operations
- 2. Manage transactional batch operations
- 3. Use SDKs for CRUD operations
- 4. Use consistency and query request options
- 5. Implement optimistic concurrency control
- 6. Implement SQL queries with arrays and aggregation
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Enable analytical workloads
- 1. Write data back from Spark
- 2. Query analytical store from Synapse
- 3. Enable analytical store
- 4. Configure Azure Cosmos DB Mirroring
- Implement solutions across services
- 1. Use Change Feed for denormalization
- 2. Implement Azure AI Search integration
- 3. Aggregate and archive data
- 4. Integrate Azure Functions and Event Hubs
- 5. Enforce referential integrity
|
| Maintain an Azure Cosmos DB solution | 25-30% | - Monitor and troubleshoot Azure Cosmos DB solutions
- 1. Troubleshoot throughput issues
- 2. Implement backup and recovery strategies
- 3. Monitor performance and availability
- 4. Monitor metrics and logs
|
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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q190-Q195):
NEW QUESTION # 190
You configure a backup for an Azure Cosmos DB for NoSQL account as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
Box 1 = The current backup policy provides protection for: 2 Hours Azure Cosmos DB automatically takes backups of your data at regular intervals. The backup interval and the retention period can be configured from the Azure portal. You can also choose between two backup modes: periodic backup mode and continuous backup mode. Periodic backup mode is the default mode for all existing accounts and it takes a full backup of your database every 4 hours by default. Continuous backup mode is a new mode that allows you to restore to any point of time within either 7 or 30 days1.
For your scenario, based on the exhibit, you have configured a backup for an Azure Cosmos DB for NoSQL account using the periodic backup mode with a backup interval of 1 hour and a retention period of 2 hours.
This means that Azure Cosmos DB will take a full backup of your database every hour and keep only the latest two backups. Therefore, the current backup policy provides protection for 2 hours.
Box 2: In case of emergency, you must (answer choice) to restore the backup = create a support ticket Azure Cosmos DB automatically takes backups of your data at regular intervals. You can configure the backup interval and the retention period from the Azure portal. You can also choose between two backup modes:
periodic backup mode and continuous backup mode. Periodic backup mode is the default mode for all existing accounts and it takes a full backup of your database every 4 hours by default. Continuous backup mode is a new mode that allows you to restore to any point of time within either 7 or 30 days1.
For your scenario, based on the exhibit, you have configured a backup for an Azure Cosmos DB for NoSQL account using the periodic backup mode with a backup interval of 1 hour and a retention period of 2 hours.
This means that Azure Cosmos DB will take a full backup of your database every hour and keep only the latest two backups. In case of emergency, you must create a support ticket to restore the backup. This is the answer to your question.
To restore data from a periodic backup, you need to create a support request with Azure Cosmos DB team and provide the following information:
The name of your Azure Cosmos DB account
The name of the database or container that you want to restore
The date and time (in UTC) that you want to restore from
The name of the target Azure Cosmos DB account where you want to restore the data The name of the target resource group where you want to restore the data The Azure Cosmos DB team will then initiate the restore process and notify you when it is completed2.
NEW QUESTION # 191
You have an Azure subscription that contains a resource group named RG1. RG1 contains an Azure Cosmos DB for NoSQL account named account1.
You plan to audit changes to the control plane of account1.
You need to ensure that audit events include the details of the security principal that performs each control plane change.
How should you complete the az command? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 192
You have an on-premises network.
You have an Azure subscription that contains an Azure Cosmos DB account named account1 and an Azure virtual network named VNet1. VNet1 contains two virtual machines named VM1 and VM2. VNet1 is connected to the on-premises network by using a Site-to-Site (S2S) VPN.
You need to meet the following requirements:
* Block access to the public endpoint of account1.
* Allow only VM1 to access account1.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

NEW QUESTION # 193
You have an Azure Cosmos DB database that contains a container named container 1. The container1 container is configured with a maximum of 20,000 RU/s and currently contains 240 GB of data.
You need to estimate the costs of container1 based on the current usage.
How many RU/s will be charged?
- A. 4.000
- B. 0
- C. 1
- D. 20,000
Answer: A
NEW QUESTION # 194
You have a database named db1 in an Azure Cosmos DB for NoSQL account named account1.
You need to write JSON data to db1 by using Azure Stream Analytics. The solution must minimize costs.
Which should you do before you can use db1 as an output of Stream Analytics?
- A. In account1, add a private endpoint
- B. In db1, create containers that have an automatic indexing policy and analytical store enabled
- C. In db1, create containers that have a custom indexing policy and analytical store disabled
- D. In account1, enable a dedicated gateway
Answer: C
Explanation:
Stream Analytics doesn't create containers in your database. Instead, it requires you to create them beforehand. You can then control the billing costs of Azure Cosmos DB containers. You can also tune the performance, consistency, and capacity of your containers directly by using the Azure Cosmos DB APIs.
https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output#basics-of-azure-cosmos-db-as-an-output-target
NEW QUESTION # 195
......
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