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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Design and implement data models	35-40%	- Implement connectivity and data access 1. Use SDKs to connect and operate 2. Write efficient SQL queries - Design partitioning strategy 1. Plan for distribution and throughput 2. Choose partition key based on workload - Plan sizing and scaling 1. Select consistency levels 2. Provision throughput and storage - 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. Store multiple entity types in one container 5. Embed related entities in documents 6. Identify data and access patterns 7. Reference between documents
Integrate an Azure Cosmos DB solution	5-10%	- Enable analytical workloads 1. Configure analytical store 2. Use Synapse Link - Integrate with Azure services 1. Connect to Azure Stream Analytics 2. Use with Azure Functions, Logic Apps, Event Hubs
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
Optimize an Azure Cosmos DB solution	15-20%	- Define and implement indexing strategy 1. Exclude or include properties 2. Select index types and paths - Work with change feed 1. Process changes incrementally 2. Trigger downstream workflows - Optimize query performance 1. Optimize throughput allocation 2. Tune query structure and syntax
Maintain an Azure Cosmos DB solution	25-30%	- Monitor and troubleshoot 1. Analyze metrics and logs 2. Use Azure Monitor and Application Insights - Manage data movement 1. Import/export data 2. Migrate between APIs or regions - Implement security 1. Encrypt data at rest and in transit 2. Manage authentication and authorization - Implement backup and restore 1. Configure periodic backup 2. Perform point-in-time restore - DevOps and automation 1. Deploy via ARM, Bicep, CLI 2. Automate operations

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB DP-420 Prüfungsfragen mit Lösungen (Q229-Q234):

229. Frage
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?

A. Region Removed
B. Metadata Requests
C. Document Quota
D. Data Usage

Antwort: C

Begründung:
Explanation
Azure Monitor is a service that provides comprehensive monitoring for Azure resources, including Azure Cosmos DB. You can use Azure Monitor to collect, analyze, and alert on metrics and logs from your Azure Cosmos DB account. You can create alerts for Azure Cosmos DB using Azure Monitor based on the metrics, activity log events, or Log Analytics logs on your account For your scenario, if you want to receive an alert when requests that target the database exceed the available request units per second (RU/s), you should use the Document Quota metric. This metric measures the percentage of RU/s consumed by your account or container. You can create an alert rule on this metric from the Azure portal by following these steps In the Azure portal, select the Azure Cosmos DB account you want to monitor.
Under the Monitoring section of the sidebar, select Alerts, and then select New alert rule.
In the Create alert rule pane, fill out the Scope section by selecting your subscription name and resource type (Azure Cosmos DB accounts).
In the Condition section, select Add condition and choose Document Quota from the list of signals.
In the Configure signal logic pane, specify the threshold value and operator for your alert condition. For example, you can choose Greater than or equal to 90 as the threshold value and operator to receive an alert when your RU/s consumption reaches 90% or more of your provisioned throughput.
In the Alert rule details section, specify a name and description for your alert rule.
In the Actions section, select Add action group and choose how you want to receive notifications for your alert. For example, you can choose Email/SMS/Push/Voice as an action type and enter your email address or phone number as a receiver.
Review your alert rule settings and select Create alert rule to save it.

230. Frage
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.

Antwort:

Begründung:

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

231. 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 Data Factory 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:

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

232. Frage
You have a database in an Azure Cosmos DB for NoSQL account.
You need to create an Azure function that will access the database to retrieve records based on a variable named accountnumber. The solution must protect against SQL injection attacks.
How should you define the command statement in the function?

A. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = @accountnumber"
B. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = '" + accountnumber + "'"
C. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = LIKE @accountnumber"
D. cmd = "SELECT * FROM Persons p
WHERE p.accountnumber = 'accountnumber'"

Antwort: A

Begründung:
Azure Cosmos DB supports queries with parameters expressed by the familiar @ notation.
Parameterized SQL provides robust handling and escaping of user input, and prevents accidental exposure of data through SQL injection.
For example, you can write a query that takes lastName and address.state as parameters, and execute it for various values of lastName and address.state based on user input.
SELECT *
FROM Families f
WHERE f.lastName = @lastName AND f.address.state = @addressState
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-parameterized- queries

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

Antwort: D

Begründung:
Store multiple entity types in the same container.

234. Frage
......

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