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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q45-Q50):

NEW QUESTION # 45
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
Does this meet the goal?

Answer: B

Explanation:
Explanation
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution


NEW QUESTION # 46
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.

What is the effect of running the command?

Answer: B

Explanation:
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.


NEW QUESTION # 47
Hotspot Question
You have the Azure Cosmos DB for NoSQL containers shown in the following table.

You have the items shown in the following table.

When will each item expire? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/time-to-live


NEW QUESTION # 48
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:

Explanation:

Box 1: country
The country field is filterable.
Note: filterable: Indicates whether to enable the field to be referenced in $filter queries. Filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo lexical analysis, so comparisons are for exact matches only.
Box 2: name
The name field is not Retrievable.
Retrievable: Indicates whether the field can be returned in a search result. Set this attribute to false if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user.
Note: searchable: Indicates whether the field is full-text searchable and can be referenced in search queries.
Reference: https://docs.microsoft.com/en-us/rest/api/searchservice/create-index


NEW QUESTION # 49
You have an Azure Cosmos DB for NoSQL account that has multiple write regions.
You need to receive an alert when requests that target the database exceed the available request units per second (RU/s).
Which Azure Monitor signal should you use?

Answer: B

Explanation:
Use an alert which is triggered when the container or a database has exceeded the provisioned throughput limit.
Note: Provisioned throughput is the maximum amount of capacity that an application can consume from a table or index. If your application exceeds your provisioned throughput capacity on a table or index, it is subject to request throttling. Throttling prevents your application from consuming too many capacity units.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/monitor-cosmos-db


NEW QUESTION # 50
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