{"id":17598,"date":"2026-06-09T11:03:11","date_gmt":"2026-06-09T08:03:11","guid":{"rendered":"https:\/\/mada.edu.sa\/?post_type=course&p=17598"},"modified":"2026-06-09T11:03:11","modified_gmt":"2026-06-09T08:03:11","slug":"microsoft-practice-test-dp-420","status":"publish","type":"course","link":"https:\/\/mada.edu.sa\/en\/course\/microsoft-practice-test-dp-420\/","title":{"rendered":"Microsoft Practice Test DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB"},"content":{"rendered":"

The DP-420 practice test provides a comprehensive learning experience for candidates aiming to master the implementation of cloud-native applications that effectively store and manage data within Microsoft Azure Cosmos DB. This rigorous practice material is designed to align with the official certification objectives, ensuring you gain the necessary expertise in designing non-relational data models, implementing data distribution strategies, and optimizing performance for high-scale applications. Whether you are a database developer or an Azure professional, this resource will help you validate your skills and subject matter expertise. By simulating the actual exam environment, it allows you to identify your strengths and weaknesses, ultimately boosting your confidence and preparedness to successfully pass the official Azure Cosmos DB Developer Specialty certification exam.<\/p>\n

Note: This is merely a practice test to prepare for the professional certification exam, and no certificate is issued by the center for passing it.<\/strong><\/p>\n

Try a free demo<\/a><\/p>\n\n\n\n\n\n\n
Questions<\/th>\n120<\/td>\n<\/tr>\n
Release Date<\/th>\n06\/2022 (Last Update: 06\/2022)<\/td>\n<\/tr>\n
Job Role<\/th>\nDeveloper<\/td>\n<\/tr>\n
Language<\/th>\nEnglish<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Why should I use the DP-420 Practice Test to prepare for the official exam?<\/h2>\n

The DP-420 certification offers developers the perfect opportunity to validate their skills and subject matter expertise in designing, implementing, and monitoring cloud-native applications that store and manage data in Microsoft Azure Cosmos DB. The candidate looking to certify themselves with the DP-420 certification will be tested in designing and implementing data models and data distribution, and integrating, optimizing, and maintaining an Azure Cosmos DB solution. If you manage to pass the DP-420 certification exam you will achieve the Azure Cosmos DB Developer Specialty certification. The DP-420 practice test includes two different modes: certification and practice mode. Certification mode allows you to assess your knowledge and discover your weak areas, with practice mode allowing you to focus on the areas that need development.<\/p>\n

Design and Implement Data Models \u201353 questions<\/h3>\n

Design and implement a non-relational data model for Azure Cosmos DB Core API<\/span><\/h4>\n
    \n
  • Develop a design by storing multiple entity types in the same container<\/li>\n
  • Develop a design by storing multiple related entities in the same document<\/li>\n
  • Develop a model that denormalizes data across documents<\/li>\n
  • Develop a design by referencing between documents<\/li>\n
  • Identify primary and unique keys<\/li>\n
  • Identify data and associated access patterns<\/li>\n
  • Specify a default TTL on a container for a transactional store<\/li>\n<\/ul>\n

    Design a data partitioning strategy for Azure Cosmos DB Core API<\/span><\/h4>\n
      \n
    • Choose a partition strategy based on a specific workload<\/li>\n
    • Choose a partition key<\/li>\n
    • Plan for transactions when choosing a partition key<\/li>\n
    • Evaluate the cost of using a cross-partition query<\/li>\n
    • Calculate and evaluate data distribution based on partition key selection<\/li>\n
    • Calculate and evaluate throughput distribution based on partition key selection<\/li>\n
    • Construct and implement a synthetic partition key<\/li>\n
    • Design partitioning for workloads that require multiple partition keys<\/li>\n<\/ul>\n

      Plan and implement sizing and scaling for a database created with Azure Cosmos DB<\/span><\/h4>\n
        \n
      • Evaluate the throughput and data storage requirements for a specific workload<\/li>\n
      • Choose between serverless and provisioned models<\/li>\n
      • Choose when to use database-level provisioned throughput<\/li>\n
      • Design for granular scale units and resource governance<\/li>\n
      • Evaluate the cost of the global distribution of data<\/li>\n
      • Configure throughput for Azure Cosmos DB by using the Azure portal<\/li>\n<\/ul>\n

        Implement client connectivity options in the Azure Cosmos DB SDK<\/span><\/h4>\n
          \n
        • Choose a connectivity mode (gateway versus direct)<\/li>\n
        • Implement a connectivity mode<\/li>\n
        • Create a connection to a database<\/li>\n
        • Enable offline development by using the Azure Cosmos DB emulator<\/li>\n
        • Handle connection errors<\/li>\n
        • Implement a singleton for the client<\/li>\n
        • Specify a region for global distribution<\/li>\n
        • Configure client-side threading and parallelism options<\/li>\n
        • Enable SDK logging<\/li>\n<\/ul>\n

          Implement data access by using the Azure Cosmos DB SQL language<\/span><\/h4>\n
            \n
          • Implement queries that use arrays, nested objects, aggregation, and ordering<\/li>\n
          • Implement a correlated subquery<\/li>\n
          • Implement queries that use array and type-checking functions<\/li>\n
          • Implement queries that use mathematical, string, and date functions<\/li>\n
          • Implement queries based on variable data<\/li>\n<\/ul>\n

            Implement data access by using SQL API SDKs<\/h3>\n
              \n
            • Choose when to use a point operation versus a query operation<\/li>\n
            • Implement a point operation that creates, updates, and deletes documents<\/li>\n
            • Implement an update by using a patch operation<\/li>\n
            • Manage multi-document transactions using SDK Transactional Batch<\/li>\n
            • Perform a multi-document load using SDK Bulk<\/li>\n
            • Implement optimistic concurrency control using ETags<\/li>\n
            • Implement session consistency by using session tokens<\/li>\n
            • Implement a query operation that includes pagination<\/li>\n
            • Implement a query operation by using a continuation token<\/li>\n
            • Handle transient errors and 429s<\/li>\n
            • Specify TTL for a document<\/li>\n
            • Retrieve and use query metrics<\/li>\n<\/ul>\n

              Implement server-side programming in Azure Cosmos DB Core API by using JavaScript<\/span><\/h4>\n
                \n
              • Write, deploy, and call a stored procedure<\/li>\n
              • Design stored procedures to work with multiple items transactionally<\/li>\n
              • Implement triggers<\/li>\n
              • Implement a user-defined function<\/li>\n<\/ul>\n

                Design and Implement Data Distribution \u20137 questions<\/h3>\n

                Design and implement a replication strategy for Azure Cosmos DB<\/span><\/h4>\n
                  \n
                • Choose when to distribute data<\/li>\n
                • Define automatic failover policies for regional failure for Azure Cosmos DB Core API<\/li>\n
                • Perform manual failovers to move single master write regions<\/li>\n
                • Choose a consistency model<\/li>\n
                • Identify use cases for different consistency models<\/li>\n
                • Evaluate the impact of consistency model choices on availability and associated RU cost<\/li>\n
                • Evaluate the impact of consistency model choices on performance and latency<\/li>\n
                • Specify application connections to replicated data<\/li>\n<\/ul>\n

                  Design and implement multi-region write<\/span><\/h4>\n