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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q10-Q15):

NEW QUESTION # 10
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: D

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.
Topic 1, Litware, inc
Overview
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is a United States-based grocery retailer. Litware has a main office and a primary datacenter in Seattle. The company has 50 retail stores across the United States and an emerging online presence. Each store connects directly to the internet.
Existing environment. Cloud and Data Service Environments.
Litware has an Azure subscription that contains the resources shown in the following table.

Each container in productdb is configured for manual throughput.
The con-product container stores the company's product catalog data. Each document in con-product includes a con-productvendor value. Most queries targeting the data in con-product are in the following format.
SELECT * FROM con-product p WHERE p.con-productVendor - 'name'
Most queries targeting the data in the con-productVendor container are in the following format SELECT * FROM con-productVendor pv ORDER BY pv.creditRating, pv.yearFounded Existing environment. Current Problems.
Litware identifies the following issues:
Updates to product categories in the con-productVendor container do not propagate automatically to documents in the con-product container.
Application updates in con-product frequently cause HTTP status code 429 "Too many requests". You discover that the 429 status code relates to excessive request unit (RU) consumption during the updates.
Requirements. Planned Changes
Litware plans to implement a new Azure Cosmos DB Core (SQL) API account named account2 that will contain a database named iotdb. The iotdb database will contain two containers named con-iot1 and con-iot2.
Litware plans to make the following changes:
Store the telemetry data in account2.
Configure account1 to support multiple read-write regions.
Implement referential integrity for the con-product container.
Use Azure Functions to send notifications about product updates to different recipients.
Develop an app named App1 that will run from all locations and query the data in account1.
Develop an app named App2 that will run from the retail stores and query the data in account2. App2 must be limited to a single DNS endpoint when accessing account2.
Requirements. Business Requirements
Litware identifies the following business requirements:
Whenever there are multiple solutions for a requirement, select the solution that provides the best performance, as long as there are no additional costs associated.
Ensure that Azure Cosmos DB costs for IoT-related processing are predictable.
Minimize the number of firewall changes in the retail stores.
Requirements. Product Catalog Requirements
Litware identifies the following requirements for the product catalog:
Implement a custom conflict resolution policy for the product catalog data.
Minimize the frequency of errors during updates of the con-product container.
Once multi-region writes are configured, maximize the performance of App1 queries against the data in account1.
Trigger the execution of two Azure functions following every update to any document in the con-product container.


NEW QUESTION # 11
You have an on-premises network.
You have an Azure subscription that contains an Azure Cosmos DB account named account1 and an Azure virtual network named VNet1. VNet1 contains two virtual machines named VM1 and VM2. VNet1 is connected to the on-premises network by using a Site-to-Site (S2S) VPN.
You need to meet the following requirements:
* Block access to the public endpoint of account1.
* Allow only VM1 to access account1.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 12
You have an Azure Cosmos DB for NoSQL account named account that has the disablekeyBasedletadatwriteAccess property enabled.
You are developing an app named App1 that will be used by a use1 named DevUser1 to create containers in account1. DevUser1 has a non-privileged user account in the 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.

Answer:

Explanation:


NEW QUESTION # 13
You have an Azure Cosmos DB Core (SQL) API account that is used by 10 web apps.
You need to analyze the data stored in the account by using Apache Spark to create machine learning models. The solution must NOT affect the performance of the web apps.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: B,C

Explanation:
Reference:
https://github.com/microsoft/MCW-Cosmos-DB-Real-Time-Advanced-Analytics/blob/main/Hands-on%20lab/HOL%20step-by%20step%20-%20Cosmos%20DB%20real-time%20advanced%20analytics.md


NEW QUESTION # 14
You have an Azure subscription that contains the resources shown in the following table.

In CosmosDB1, you plan to create a container named Container1 that will store sensitive data.
You need to ensure that Container1 uses Always Encrypted for Azure Cosmos DB.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 15
......

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