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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Design and implement data models	35-40%	- Design partitioning strategy 1. Plan for distribution and throughput 2. Choose partition key based on workload - Implement connectivity and data access 1. Use SDKs to connect and operate 2. Write efficient SQL queries - Plan sizing and scaling 1. Provision throughput and storage 2. Select consistency levels - Design and implement non-relational data models 1. Configure time-to-live (TTL) 2. Define primary and unique keys 3. Denormalize data across documents 4. Reference between documents 5. Embed related entities in documents 6. Store multiple entity types in one container 7. Identify data and access patterns
Integrate an Azure Cosmos DB solution	5-10%	- Integrate with Azure services 1. Connect to Azure Stream Analytics 2. Use with Azure Functions, Logic Apps, Event Hubs - Enable analytical workloads 1. Configure analytical store 2. Use Synapse Link
Maintain an Azure Cosmos DB solution	25-30%	- Implement backup and restore 1. Configure periodic backup 2. Perform point-in-time restore - Implement security 1. Manage authentication and authorization 2. Encrypt data at rest and in transit - DevOps and automation 1. Automate operations 2. Deploy via ARM, Bicep, CLI - Monitor and troubleshoot 1. Use Azure Monitor and Application Insights 2. Analyze metrics and logs - Manage data movement 1. Import/export data 2. Migrate between APIs or regions
Optimize an Azure Cosmos DB solution	15-20%	- Define and implement indexing strategy 1. Exclude or include properties 2. Select index types and paths - 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
Design and implement data distribution	5-10%	- Design replication strategy 1. Configure multi-region replication 2. Implement multi-region write - Manage data distribution and failover 1. Manage regional availability 2. Define failover priorities

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB DP-420 Prüfungsfragen mit Lösungen (Q133-Q138):

133. Frage
You maintain a relational database for a book publisher. The database contains the following tables.

The most common query lists the books for a given authorId.
You need to develop a non-relational data model for Azure Cosmos DB Core (SQL) API that will replace the relational database. The solution must minimize latency and read operation costs.
What should you include in the solution?

A. Create Author, Book, and Bookauthorlnk documents in the same container.
B. Create a container for Author and a container for Book. In each Author document and Book document embed the data from Bookauthorlnk.
C. Create a container that contains a document for each Author and a document for each Book. In each Book document, embed authorId.
D. Create a container for Author and a container for Book. In each Author document, embed bookId for each book by the author. In each Book document embed authorId of each author.

Antwort: D

Begründung:
Store multiple entity types in the same container.

134. Frage
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 Synapse pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?

A. Yes
B. No

Antwort: B

Begründung:
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
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:

135. Frage
You have an Azure Cosmos DB Core (SQL) API account named account1 that has the disableKeyBasedMetadataWriteAccess property enabled.
You are developing an app named App1 that will be used by a user named DevUser1 to create containers in account1. DevUser1 has a non-privileged user account in the Azure Active Directory (Azure AD) tenant.
You need to ensure that DevUser1 can use App1 to create containers in account1.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation

Box 1: Resource tokens
Resource tokens provide access to the application resources within a database. Resource tokens:
Provide access to specific containers, partition keys, documents, attachments, stored procedures, triggers, and UDFs.
Box 2: Azure Resource Manager API
You can use Azure Resource Manager to help deploy and manage your Azure Cosmos DB accounts, databases, and containers.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/secure-access-to-data
https://docs.microsoft.com/en-us/rest/api/resources/

136. Frage
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1.
You are developing a new app named App1 that will use Container1.
You need to ensure that when App1 attempts to delete a document in Container1, the action is blocked, and an error is returned to the app.
What should you use?

A. a pre-trigger
B. a stored procedure
C. a post-trigger
D. a user-defined function (UDF)

Antwort: A

Begründung:
To block an application from deleting a document in an Azure Cosmos DB for NoSQL container while ensuring the application receives an error message, you should use a pre-trigger.
Why use a Pre-trigger?
Blocking Action: Pre-triggers run before a database operation (like a delete) is completed. If the trigger throws an exception, the entire transaction is aborted, effectively blocking the deletion.
Error Reporting: When a pre-trigger throws an error, the Cosmos DB service returns that error back to the calling application, typically as a 400 Bad Request or similar exception depending on the SDK used.
Granular Control: Unlike general Role-Based Access Control (RBAC) which might just deny the operation with a generic "Forbidden" message, a pre-trigger allows you to write custom JavaScript logic to validate the delete request and provide a specific error reason.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-write-stored-procedures-triggers-udfs

137. Frage
You have a container in an Azure Cosmos DB Core (SQL) API account.
You need to use the Azure Cosmos DB SDK to replace a document by using optimistic concurrency.
What should you include in the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation

Box 1: ConsistencyLevel
The ItemRequestOptions Class ConsistencyLevel property gets or sets the consistency level required for the request in the Azure Cosmos DB service.
Azure Cosmos DB offers 5 different consistency levels. Strong, Bounded Staleness, Session, Consistent Prefix and Eventual - in order of strongest to weakest consistency.
Box 2: _etag
The ItemRequestOptions class helped us implement optimistic concurrency by specifying that we wanted the SDK to use the If-Match header to allow the server to decide whether a resource should be updated. The If-Match value is the ETag value to be checked against. If the ETag value matches the server ETag value, the resource is updated.
Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.cosmos.itemrequestoptions
https://cosmosdb.github.io/labs/dotnet/labs/10-concurrency-control.html

138. Frage
......

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