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Microsoft DP-420 Exam Syllabus Topics:

SectionObjectives
Topic 1: Design and implement data models for Azure Cosmos DB- Design indexing strategies
  • 1. Indexing policies
    • 2. Query optimization considerations
      - Model data for NoSQL workloads
      • 1. Partitioning strategies
        • 2. Data modeling patterns (embed vs reference)
          Topic 2: Integrate Azure Cosmos DB with Azure services- Event-driven architectures
          • 1. Integration with Azure Functions
            • 2. Change Feed processing
              - Data pipelines and analytics
              • 1. Synapse integration
                • 2. Data movement patterns
                  Topic 3: Optimize and maintain Cosmos DB solutions- Performance optimization
                  • 1. RU consumption optimization
                    • 2. Query performance tuning
                      - Monitoring and troubleshooting
                      • 1. Alerts and metrics
                        • 2. Diagnostics and logging
                          Topic 4: Design and implement data distribution- Replication and consistency
                          • 1. Consistency levels
                            • 2. Multi-region replication
                              - Partitioning and scaling
                              • 1. Logical and physical partitions
                                • 2. Throughput (RU/s) planning

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                                  Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q198-Q203):

                                  NEW QUESTION # 198
                                  You have an Azure Cosmos DB Core (SQL) API account named account1.
                                  You have the Azure virtual networks and subnets shown in the following table.

                                  The vnet1 and vnet2 networks are connected by using a virtual network peer.
                                  The Firewall and virtual network settings for account1 are configured as shown in the exhibit.

                                  For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                  NOTE: Each correct selection is worth one point.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 199
                                  You have an Azure Cosmos DB for NoSQL container. The container contains items that have the following properties.

                                  You need to protect the data stored in the container by using Always Encrypted. For each property, you must use the strongest type of encryption and ensure that queries execute properly.
                                  What is the strongest type of encryption that you can apply to each property? To answer, select the appropriate options in the answer area.
                                  NOTE: Each correct selection is worth one point.

                                  Answer:

                                  Explanation:

                                  Explanation:
                                  Box 1 = Randomized
                                  Box 2 = Deterministic
                                  Always Encrypted for Az ure Cosmos DB supports two types of encryption: deterministic and randomized 1 .
                                  Deterministic encryption always produces the same encrypted value for any given plain text value.
                                  Randomized encryption produces a different encrypted value for the same plain text value.
                                  For dateOfBirth, randomized encryption is the strongest type of encryption because it provides better protection against statistical analysis and brute-force attacks. Deterministic encryption would not be suitable for dateOfBirth because it could r eveal patterns or allow equality comparisons 1 .
                                  For healthStatus, deterministic encryption is the strongest type of encryption because it allows queries to perform equality comparisons and filters on the encrypted prop erty. Randomized encryption would not be suitable for healthStatus because it would prevent any queries on the encrypted property 1 .


                                  NEW QUESTION # 200
                                  Vou have an Azure Cosmos DB for NoSQL account named Cosmos1 that has a container named orders.
                                  You have an app that updates order documents throughout the day. and the documents must remain in orders for transactional queries.
                                  You have an Azure Storage account named account1.
                                  You need to implement an archive process that meets the following requirements,
                                  * Archives each new order document to account1
                                  * Archives each updated order document to account! as the update occurs
                                  * Ensures that the archive process continues from the last processed change after a restart
                                  * Scales across partitions without custom polling or custom checkpoint management What should you do?

                                  Answer: C


                                  NEW QUESTION # 201
                                  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 tworegions 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 # 202
                                  You are implementing an Azure Data Factory data flow that will use an Azure Cosmos DB (SQL API) sink to write a dataset. The data flow will use 2,000 Apache Spark partitions.
                                  You need to ensure that the ingestion from each Spark partition is balanced to optimize throughput.
                                  Which sink setting should you configure?

                                  Answer: C

                                  Explanation:
                                  Explanation
                                  Batch size: An integer that represents how many objects are being written to Cosmos DB collection in each batch. Usually, starting with the default batch size is sufficient. To further tune this value, note:
                                  Cosmos DB limits single request's size to 2MB. The formula is "Request Size = Single Document Size * Batch Size". If you hit error saying "Request size is too large", reduce the batch size value.
                                  The larger the batch size, the better throughput the service can achieve, while make sure you allocate enough RUs to empower your workload.
                                  Reference: https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-cosmos-db


                                  NEW QUESTION # 203
                                  ......

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