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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q256-Q261):

NEW QUESTION # 256
You have an Azure Cosmos DB for NoSQL account named account1.
You have an app named App1 that connects to account1 and uses strong consistency for all requests.
You implement the Azure Cosmos DB integrated cache for account1.
You need to ensure that App1 uses the integrated cache.
What should you do?

Answer: A


NEW QUESTION # 257
You configure Azure Cognitive Search to index a container in an Azure Cosmos DB Core (SQL) API 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:


NEW QUESTION # 258
You have a global ecommerce application that stores data in an Azure Cosmos DB for NoSQL account. The account is configured for multi-region writes.
You need to create a stored procedure for a custom conflict resolution policy for a new container.
In the event of a conflict caused by a deletion, the deletion must always take priority.
Which parameter should you check in the stored procedure function?

Answer: B

Explanation:
isTombstone: Boolean indicating if the incomingItem is conflicting with a previously deleted item.
When true, existingItem is also null.
Incorrect:
conflictingItems: Array of the committed version of all items in the container that are conflicting with incomingItem on ID or any other unique index properties. existingItem: The currently committed item. This value is non-null in an update and null for an insert or deletes.
incomingItem: The item being inserted or updated in the commit that is generating the conflicts. Is null for delete operations.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-manage-conflicts


NEW QUESTION # 259
You have a container named container1 in an Azure Cosmos DB Core (SQL) API 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?

Answer: C

Explanation:
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.
Reference: https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb-v2-trigger


NEW QUESTION # 260
You plan to use a multi-region Azure Cosmos DB for NoSQL account to store data for a new application suite. The suite contains the applications shown in the following table.

Each application should use the weakest consistency level possible.
Which consistency level should you configure for each application? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 261
......

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