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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Optimize an Azure Cosmos DB solution15-20%- Optimize query performance
  • 1. Implement integrated cache
  • 2. Adjust indexing policies
  • 3. Retrieve request unit cost
  • 4. Calculate query cost
- Design and implement change feeds
  • 1. Develop Azure Functions triggers
  • 2. Implement aggregation persistence
  • 3. Manage change feed instances
  • 4. Consume change feeds using SDK
- Define and implement indexing strategy
  • 1. Configure custom indexing policies
  • 2. Choose read-heavy or write-heavy indexing
  • 3. Implement composite indexes
  • 4. Optimize index performance
  • 5. Choose appropriate index types
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Implement backup and recovery strategies
  • 2. Troubleshoot throughput issues
  • 3. Monitor metrics and logs
  • 4. Monitor performance and availability
Design and implement data distribution5-10%- Design and implement multi-region writes
  • 1. Implement multi-region writes
  • 2. Choose when to use multi-region writes
  • 3. Implement conflict resolution policies
- Design and implement replication strategy
  • 1. Define automatic failover policies
  • 2. Evaluate consistency model impacts
  • 3. Choose when to distribute data
  • 4. Choose a consistency model
  • 5. Perform manual failovers
Design and implement data models35-40%- Implement server-side programming
  • 1. Implement user-defined functions
  • 2. Write and deploy stored procedures
  • 3. Implement triggers
- Design a data partitioning strategy
  • 1. Plan for transactions with partition keys
  • 2. Choose a partition key
  • 3. Evaluate throughput and data distribution
  • 4. Choose a partitioning strategy
  • 5. Evaluate cross-partition query cost
  • 6. Implement synthetic partition keys
- Implement data access
  • 1. Manage transactional batch operations
  • 2. Implement SQL queries with arrays and aggregation
  • 3. Use consistency and query request options
  • 4. Implement patch operations
  • 5. Implement optimistic concurrency control
  • 6. Use SDKs for CRUD operations
- Plan and implement sizing and scaling
  • 1. Evaluate throughput and storage requirements
  • 2. Choose between serverless, provisioned, and free tier
  • 3. Configure throughput
  • 4. Design resource governance and scaling
  • 5. Evaluate global distribution costs
- 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
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Reference between documents
  • 2. Denormalize data across documents
  • 3. Store multiple entity types in the same container
  • 4. Store multiple related entities in the same document
  • 5. Identify partition key, id, and unique keys
  • 6. Identify data and associated access patterns
Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Configure Azure Cosmos DB Mirroring
  • 2. Query analytical store from Synapse
  • 3. Write data back from Spark
  • 4. Enable analytical store
- Implement solutions across services
  • 1. Aggregate and archive data
  • 2. Use Change Feed for denormalization
  • 3. Integrate Azure Functions and Event Hubs
  • 4. Implement Azure AI Search integration
  • 5. Enforce referential integrity

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q217-Q222):

NEW QUESTION # 217
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account.
You create a container and assign the following indexing policy.

You run the queries shown in the following table.

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 # 218
You have an Azure subscription.
You plan to implement an Azure Cosmos DB for NoSQL single-region write account named account1 that will replicate across two Azure regions.
You need to set the default consistency level for account1. The solution must meet the following requirements:
* Writes must be performed to a local majority in a single region.
* Reads must be performed from a local minority in a single region.
Which consistency level should you select?

Answer: C


NEW QUESTION # 219
You have an Azure Cosmos DB database that hosts a container named container1.
You need to ensure that the items stored in container1 will NOT expire unless their TTL value is set explicitly.
What should you do?

Answer: D


NEW QUESTION # 220
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.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 221
You need to create a database in an Azure Cosmos DB for NoSQL account. The database will contain three containers named coll1, coll2 and coll3. The coll1 container will have unpredictable read and write volumes.
The col!2 and coll3 containers will have predictable read and write volumes. The expected maximum throughput for coll1 and coll2 is 50,000 request units per second (RU/s) each.
How should you provision the collection while minimizing costs?

Answer: B

Explanation:
Explanation
Azure Cosmos DB offers two different capacity modes: provisioned throughput and serverless1. Provisioned throughput mode allows you to configure a certain amount of throughput (expressed in Request Units per second or RU/s) that is provisioned on your databases and containers. You get billed for the amount of throughput you've provisioned, regardless of how many RUs were consumed1. Serverless mode allows you to run your database operations without having to configure any previously provisioned capacity. You get billed for the number of RUs that were consumed by your database operations and the storage consumed by your data1.
To create a database that minimizes costs, you should consider the following factors:
* The read and write volumes of your containers
* The predictability and variability of your traffic
* The latency and throughput requirements of your application
* The geo-distribution and availability needs of your data
Based on these factors, one possible option that you could choose is B. Create a provisioned throughput account. Set the throughput for coll1 to Autoscale. Set the throughput for coll2 and coll3 to Manual.
This option has the following advantages:
* It allows you to handle unpredictable read and write volumes for coll1 by using Autoscale, which automatically adjusts the provisioned throughput based on the current load1.
* It allows you to handle predictable read and write volumes for coll2 and coll3 by using Manual, which lets you specify a fixed amount of provisioned throughput that meets your performance needs1.
* It allows you to optimize your costs by paying only for the throughput you need for each container1.
* It allows you to enable geo-distribution for your account if you need to replicate your data across multiple regions1.
This option also has some limitations, such as:
* It may not be suitable for scenarios where all containers have intermittent or bursty traffic that is hard to forecast or has a low average-to-peak ratio1.
* It may not be optimal for scenarios where all containers have low or sporadic traffic that does not justify provisioned capacity1.
* It may not support availability zones or multi-master replication for your account1.
Depending on your specific use case and requirements, you may need to choose a different option. For example, you could use a serverless account if all containers have low or sporadic traffic that does not require predictable performance or geo-distribution1. Alternatively, you could use a provisioned throughput account with Manual for all containers if all containers have stable and consistent traffic that requires predictable performance or geo-distribution1.


NEW QUESTION # 222
......

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