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| Section | Weight | Objectives |
|---|
| Topic 1: Maintain an Azure Cosmos DB solution | 25-30% | - Implement security
- 1. Encrypt data at rest and in transit
- 2. Manage authentication and authorization
- DevOps and automation
- 1. Automate operations
- 2. Deploy via ARM, Bicep, CLI
- Implement backup and restore
- 1. Perform point-in-time restore
- 2. Configure periodic backup
- Manage data movement
- 1. Migrate between APIs or regions
- 2. Import/export data
- Monitor and troubleshoot
- 1. Use Azure Monitor and Application Insights
- 2. Analyze metrics and logs
|
| Topic 2: Integrate an Azure Cosmos DB solution | 5-10% | - Integrate with Azure services
- 1. Use with Azure Functions, Logic Apps, Event Hubs
- 2. Connect to Azure Stream Analytics
- Enable analytical workloads
- 1. Use Synapse Link
- 2. Configure analytical store
|
| Topic 3: Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
- 1. Select index types and paths
- 2. Exclude or include properties
- Optimize query performance
- 1. Optimize throughput allocation
- 2. Tune query structure and syntax
- Work with change feed
- 1. Process changes incrementally
- 2. Trigger downstream workflows
|
| Topic 4: Design and implement data distribution | 5-10% | - Manage data distribution and failover
- 1. Define failover priorities
- 2. Manage regional availability
- Design replication strategy
- 1. Configure multi-region replication
- 2. Implement multi-region write
|
| Topic 5: Design and implement data models | 35-40% | - Design partitioning strategy
- 1. Plan for distribution and throughput
- 2. Choose partition key based on workload
- Design and implement non-relational data models
- 1. Denormalize data across documents
- 2. Configure time-to-live (TTL)
- 3. Embed related entities in documents
- 4. Identify data and access patterns
- 5. Reference between documents
- 6. Store multiple entity types in one container
- 7. Define primary and unique keys
- Implement connectivity and data access
- 1. Write efficient SQL queries
- 2. Use SDKs to connect and operate
- Plan sizing and scaling
- 1. Select consistency levels
- 2. Provision throughput and storage
|
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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q87-Q92):
NEW QUESTION # 87
You are troubleshooting the current issues caused by the application updates.
Which action can address the application updates issue without affecting the functionality of the application?
- A. Set the default consistency level of account1 to strong.
- B. Enable time to live for the con-product container.
- C. Add a custom indexing policy to the con-product container.
- D. Set the default consistency level of account1 to bounded staleness.
Answer: D
Explanation:
Explanation
Bounded staleness is frequently chosen by globally distributed applications that expect low write latencies but require total global order guarantee. Bounded staleness is great for applications featuring group collaboration and sharing, stock ticker, publish-subscribe/queueing etc.
Scenario: 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.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
NEW QUESTION # 88
You have an Azure Cosmos DB for NoSQL account that contains a database named DB1. Users run the following query against DB1.

You add an index to the recordset.
You need to change the ORDER by syntax of the query to optimize the use of the index. The solution must NOT change the result set.
Which syntax should you use?
Which syntax should you use?
- A. order BY c.bikeParts DESC, c._ts ASC
- B. ORDER BY c.bikeParts ASC, c._ts ASC
- C. ORDER BY c._ts MSC, c.bikeParts ASC
- D. ORDER BY c._ts ASC, c.bikeParts DESC
Answer: B
NEW QUESTION # 89
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:

NEW QUESTION # 90
You configure multi-region writes for account1.
You need to ensure that App1 supports the new configuration for account1. The solution must meet the business requirements and the product catalog requirements.
What should you do?
- A. Create a private endpoint connection.
- B. Increase the number of request units per second (RU/s) allocated to the con-product and con-productVendor containers.
- C. Modify the connection policy of App1.
- D. Set the default consistency level of accountl to bounded staleness.
Answer: B
Explanation:
Explanation
App1 queries the con-product and con-productVendor containers.
Note: Request unit is a performance currency abstracting the system resources such as CPU, IOPS, and memory that are required to perform the database operations supported by Azure Cosmos DB.
Scenario:
Develop an app named App1 that will run from all locations and query the data in account1.
Once multi-region writes are configured, maximize the performance of App1 queries against the data in account1.
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.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
NEW QUESTION # 91
You have a container named container1 in an Azure Cosmos DB for NoSQL account. Upserts of items in container1 occur every three seconds.
You have an Azure Functions app named function1 that is supposed to run whenever items are inserted or replaced in container1.
You discover that function1 runs, but not on every upsert.
You need to ensure that function1 processes each upsert within one second of the upsert.
Which property should you change in the Function.json file of function1?
- A. maxItemsPerInvocation
- B. feedPollDelay
- C. checkpointInterval
- D. leaseCollectionsThroughput
Answer: B
Explanation:
With an upsert operation we can either insert or update an existing record at the same time.
FeedPollDelay: The time (in milliseconds) for the delay between polling a partition for new changes on the feed, after all current changes are drained. Default is 5,000 milliseconds, or 5 seconds.
Incorrect Answers:
A: checkpointInterval: When set, it defines, in milliseconds, the interval between lease checkpoints.
Default is always after each Function call.
C: maxItemsPerInvocation: When set, this property sets the maximum number of items received per Function call. If operations in the monitored collection are performed through stored procedures, transaction scope is preserved when reading items from the change feed. As a result, the number of items received could be higher than the specified value so that the items changed by the same transaction are returned as part of one atomic batch.
Reference: https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb- v2-trigger
NEW QUESTION # 92
......
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