Overview

DP-420: Microsoft Azure Cosmos DB Developer Specialty exam is designed for individuals who have a deep understanding of Azure Cosmos DB and its capabilities. This certification is ideal for developers who work with Azure Cosmos DB on a regular basis and want to showcase their expertise in this specialized area.DP-420 exam covers a wide range of topics related to Azure Cosmos DB, including data modeling, partitioning, indexing, and querying. Candidates are expected to have a strong understanding of NoSQL databases and how they differ from traditional relational databases. They should also be familiar with the various APIs and SDKs available for working with Azure Cosmos DB, as well as best practices for optimizing performance and scalability.One of the key features of the DP-420 exam is the comprehensive practice exam that is included with the study materials. This practice exam is designed to simulate the experience of taking the actual DP-420 exam, giving candidates the opportunity to familiarize themselves with the format and types of questions they can expect to encounter. By taking the practice exam, candidates can identify areas where they may need to focus their study efforts and ensure they are fully prepared on exam day.In order to pass the DP-420 exam and earn the Microsoft Azure Cosmos DB Developer Specialty certification, candidates must demonstrate their knowledge and skills in a variety of areas. This includes understanding how to design and implement data models that are optimized for Azure Cosmos DB, as well as how to partition data effectively to improve performance and scalability. Candidates should also be able to create and optimize indexes for efficient querying, and understand how to use the various APIs and SDKs available for working with Azure Cosmos DB.DP-420 exam is a challenging test that requires a strong foundation in Azure Cosmos DB and a thorough understanding of its capabilities. Candidates who pass the exam will have proven their expertise in this specialized area and will be well-positioned to take on advanced roles as Azure Cosmos DB developers.DP-420: Microsoft Azure Cosmos DB Developer Specialty exam is a valuable certification for developers who work with Azure Cosmos DB and want to showcase their expertise in this specialized area. The comprehensive practice exam included with the study materials helps candidates prepare for the exam and ensures they are fully prepared on exam day. By passing the DP-420 exam, candidates can demonstrate their knowledge and skills in Azure Cosmos DB and open up new opportunities for career advancement in the field of cloud computing.DP-420: Microsoft Azure Cosmos DB Developer Specialty Exam Summary:Exam Name: Microsoft Certified - Azure Cosmos DB Developer SpecialtyExam code: DP-420Exam voucher cost: $165 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 40-60 (estimate)Length of exam: 120minutesPassing grade: Score is from 700-1000.DP-420: Microsoft Azure Cosmos DB Developer Specialty Exam Syllabus Topics:Design and implement data models (35-40%)Design and implement data distribution (5-10%)Integrate an Azure Cosmos DB solution (5-10%)Optimize an Azure Cosmos DB solution (15-20%)Maintain an Azure Cosmos DB solution (25-30%)Design and implement data models (35-40%)Design and implement a non-relational data model for Azure Cosmos DB for NoSQLDevelop a design by storing multiple entity types in the same containerDevelop a design by storing multiple related entities in the same documentDevelop a model that denormalizes data across documentsDevelop a design by referencing between documentsIdentify primary and unique keysIdentify data and associated access patternsSpecify a default time to live (TTL) on a container for a transactional storeDesign a data partitioning strategy for Azure Cosmos DB for NoSQLChoose a partitioning strategy based on a specific workloadChoose a partition keyPlan for transactions when choosing a partition keyEvaluate the cost of using a cross-partition queryCalculate and evaluate data distribution based on partition key selectionCalculate and evaluate throughput distribution based on partition key selectionConstruct and implement a synthetic partition keyDesign and implement a hierarchical partition keyDesign partitioning for workloads that require multiple partition keysPlan and implement sizing and scaling for a database created with Azure Cosmos DBEvaluate the throughput and data storage requirements for a specific workloadChoose between serverless and provisioned modelsChoose when to use database-level provisioned throughputDesign for granular scale units and resource governanceEvaluate the cost of the global distribution of dataConfigure throughput for Azure Cosmos DB by using the Azure portalImplement client connectivity options in the Azure Cosmos DB SDKChoose a connectivity mode (gateway versus direct)Implement a connectivity modeCreate a connection to a databaseEnable offline development by using the Azure Cosmos DB emulatorHandle connection errorsImplement a singleton for the clientSpecify a region for global distributionConfigure client-side threading and parallelism optionsEnable SDK loggingImplement data access by using the SQL language for Azure Cosmos DB for NoSQLImplement queries that use arrays, nested objects, aggregation, and orderingImplement a correlated subqueryImplement queries that use array and type-checking functionsImplement queries that use mathematical, string, and date functionsImplement queries based on variable dataImplement data access by using Azure Cosmos DB for NoSQL SDKsChoose when to use a point operation versus a query operationImplement a point operation that creates, updates, and deletes documentsImplement an update by using a patch operationManage multi-document transactions using SDK Transactional BatchPerform a multi-document load using Bulk Support in the SDKImplement optimistic concurrency control using ETagsOverride default consistency by using query request optionsImplement session consistency by using session tokensImplement a query operation that includes paginationImplement a query operation by using a continuation tokenHandle transient errors and 429sSpecify TTL for a documentRetrieve and use query metricsImplement server-side programming in Azure Cosmos DB for NoSQL by using JavaScriptWrite, deploy, and call a stored procedureDesign stored procedures to work with multiple documents transactionallyImplement and call triggersImplement a user-defined functionDesign and implement data distribution (5-10%)Design and implement a replication strategy for Azure Cosmos DBChoose when to distribute dataDefine automatic failover policies for regional failure for Azure Cosmos DB for NoSQLPerform manual failovers to move single master write regionsChoose a consistency modelIdentify use cases for different consistency modelsEvaluate the impact of consistency model choices on availability and associated request unit (RU) costEvaluate the impact of consistency model choices on performance and latencySpecify application connections to replicated dataDesign and implement multi-region writeChoose when to use multi-region writeImplement multi-region writeImplement a custom conflict resolution policy for Azure Cosmos DB for NoSQLIntegrate an Azure Cosmos DB solution (5-10%)Enable Azure Cosmos DB analytical workloadsEnable Azure Synapse LinkChoose between Azure Synapse Link and Spark ConnectorEnable the analytical store on a containerImplement custom partitioning in Azure Synapse LinkEnable a connection to an analytical store and query from Azure Synapse Spark or Azure Synapse SQLPerform a query against the transactional store from SparkWrite data back to the transactional store from SparkImplement solutions across servicesIntegrate events with other applications by using Azure Functions and Azure Event HubsDenormalize data by using Change Feed and Azure FunctionsEnforce referential integrity by using Change Feed and Azure FunctionsAggregate data by using Change Feed and Azure Functions, including reportingArchive data by using Change Feed and Azure FunctionsImplement Azure Cognitive Search for an Azure Cosmos DB solutionOptimize an Azure Cosmos DB solution (15-20%)Optimize query performance when using the API for Azure Cosmos DB for NoSQLAdjust indexes on the databaseCalculate the cost of the queryRetrieve request unit cost of a point operation or queryImplement Azure Cosmos DB integrated cacheDesign and implement change feeds for Azure Cosmos DB for NoSQLDevelop an Azure Functions trigger to process a change feedConsume a change feed from within an application by using the SDKManage the number of change feed instances by using the change feed estimatorImplement denormalization by using a change feedImplement referential enforcement by using a change feedImplement aggregation persistence by using a change feedImplement data archiving by using a change feedDefine and implement an indexing strategy for Azure Cosmos DB for NoSQLChoose when to use a read-heavy versus write-heavy index strategyChoose an appropriate index typeConfigure a custom indexing policy by using the Azure portalImplement a composite indexOptimize index performanceMaintain an Azure Cosmos DB solution (25-30%)Monitor and troubleshoot an Azure Cosmos DB solutionEvaluate response status code and failure metricsMonitor metrics for normalized throughput usage by using Azure MonitorMonitor server-side latency metrics by using Azure MonitorMonitor data replication in relation to latency and availabilityConfigure Azure Monitor alerts for Azure Cosmos DBImplement and query Azure Cosmos DB logsMonitor throughput across partitionsMonitor distribution of data across partitionsMonitor security by using logging and auditingImplement backup and restore for an Azure Cosmos DB solutionChoose between periodic and continuous backupConfigure periodic backupConfigure continuous backup and recoveryLocate a recovery point for a point-in-time recoveryRecover a database or container from a recovery pointImplement security for an Azure Cosmos DB solutionChoose between service-managed and customer-managed encryption keysConfigure network-level access control for Azure Cosmos DBConfigure data encryption for Azure Cosmos DBManage control plane access to Azure Cosmos DB by using Azure role-based access control (RBAC)Manage data plane access to Azure Cosmos DB by using keysManage data plane access to Azure Cosmos DB by using Microsoft Entra IDConfigure cross-origin resource sharing (CORS) settingsManage account keys by using Azure Key VaultImplement customer-managed keys for encryptionImplement Always EncryptedImplement data movement for an Azure Cosmos DB solutionChoose a data movement strategyMove data by using client SDK bulk operationsMove data by using Azure Data Factory and Azure Synapse pipelinesMove data by using a Kafka connectorMove data by using Azure Stream AnalyticsMove data by using the Azure Cosmos DB Spark ConnectorConfigure Azure Cosmos DB as a custom endpoint for an Azure IoT HubImplement a DevOps process for an Azure Cosmos DB solutionChoose when to use declarative versus imperative operationsProvision and manage Azure Cosmos DB resources by using Azure Resource Manager templatesMigrate between standard and autoscale throughput by using PowerShell or Azure CLIInitiate a regional failover by using PowerShell or Azure CLIMaintain indexing policies in production by using Azure Resource Manager templatesIn conclusion, the DP-420: Microsoft Azure Cosmos DB Developer Specialty exam is a valuable certification for developers who work with Azure Cosmos DB and want to showcase their expertise in this specialized area. The comprehensive practice exam included with the study materials helps candidates prepare for the exam and ensures they are fully prepared on exam day. By passing the DP-420 exam, candidates can demonstrate their knowledge and skills in Azure Cosmos DB and open up new opportunities for career advancement in the field of cloud computing.

Skills

Reviews