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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q30-Q35):

NEW QUESTION # 30
Hotspot Question
You have an Azure Resource Manager (ARM) template that provisions Azure Cosmos DB accounts and databases. The accounts are deployed to a single Azure region. The databases have provisioned throughput configured. The name of the region, the type of database throughput, and the throughput value are defined as template parameters.
You need to modify some of the Azure Cosmos DB accounts and databases based on the following scenarios:
- Scenario 1: Add a read region and increase the database throughput.
- Scenario 2: Change the provisioned database throughput to autoscale.
The solution must minimize administrative effort and the duration of the modifications.
What should you use for each scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 31
The following is a sample of a document in orders.

The orders container uses customer as the partition key.
You need to provide a report of the total items ordered per month by item type. The solution must meet the following requirements:
Ensure that the report can run as quickly as possible.
Minimize the consumption of request units (RUs).
What should you do?

Answer: A

Explanation:
You can facilitate aggregate data by using Change Feed and Azure Functions, and then use it for reporting.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/change-feed


NEW QUESTION # 32
You have the indexing policy shown in the following exhibit.

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

Answer:

Explanation:

Explanation

Box 1: ORDER BY c.name DESC, c.age DESC
Queries that have an ORDER BY clause with two or more properties require a composite index.
The following considerations are used when using composite indexes for queries with an ORDER BY clause with two or more properties:
If the composite index paths do not match the sequence of the properties in the ORDER BY clause, then the composite index can't support the query.
The order of composite index paths (ascending or descending) should also match the order in the ORDER BY clause.
The composite index also supports an ORDER BY clause with the opposite order on all paths.
Box 2: At the same time as the item creation
Azure Cosmos DB supports two indexing modes:
Consistent: The index is updated synchronously as you create, update or delete items. This means that the consistency of your read queries will be the consistency configured for the account.
None: Indexing is disabled on the container.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/index-policy


NEW QUESTION # 33
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1.
For Container1, the DefaultTimeToLive property is -1.
You insert an item into Container1. The ttl property of the inserted item is 1000.
When will the item be deleted automatically?

Answer: B

Explanation:
The item will be deleted after 1,000 seconds (approximately 16.7 minutes) from the time it was last modified.
In Azure Cosmos DB, the Time to Live (TTL) logic follows a specific hierarchy of precedence:
TTL Logic Breakdown
Container Level (DefaultTimeToLive = -1): This setting enables TTL for the container but instructs Cosmos DB to never expire items by default.
Item Level (ttl = 1000): When an individual item has a ttl property, it overrides the container-level setting.
The Result: Because the item-level value is a positive integer, the system honors that specific duration for that specific item.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-time-to-live


NEW QUESTION # 34
You have a global ecommerce application that stores data in an Azure Cosmos OB for NoSQL account. The account is contoured 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 m the stored procedure function?

Answer: D


NEW QUESTION # 35
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