Microsoft Azure DP-420

Master Azure fundamentals and create innovative solutions for real-world applications.

Microsoft Azure DP-420

Tech Cryptors is a leading IT Services & Training Services company, dedicated to providing unparalleled customer satisfaction and exceptional value for our esteemed clients. 

Enhance your expertise in IoT domain with Tech Cryptors’ comprehensive Microsoft Azure DP-420 course. Delve into the core of Microsoft Azure fundamentals while mastering DP-420, equipping yourself with the skills needed to design, build, and deploy innovative and efficient IoT solutions. As you navigate this course, you’ll not only gain valuable insights into IoT concepts but also prepare effectively for the Microsoft Azure certification. With Tech Cryptors as your guide, you’ll be empowered to create impactful IoT applications that leverage the full potential of Microsoft Azure’s capabilities. Our cutting-edge courses are designed to equip aspiring professionals with practical skills and knowledge to excel in the dynamic world of networking.

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Design NoSQL Data Model for Azure Cosmos DB: Create efficient data models for Cosmos DB, accommodating multiple entity types within containers in Microsoft Azure DP-420.

Store Related Entities in the Same Document: Optimize design by storing related entities within the same Cosmos DB document.

Denormalize Data Across Documents: Implement data denormalization strategies to enhance performance and simplify queries.

Reference Between Documents: Design data relationships across documents for effective data retrieval.

Identify Primary and Unique Keys: Recognize primary and unique keys for proper data identification.

Specify Default TTL on a Container: Set Time-To-Live (TTL) on containers for automatic data expiration in a transactional store.

Design Data Partitioning Strategy: Plan data partitioning for efficient data distribution and scaling in Azure Cosmos DB.

Choose Partition Key: Select the appropriate partition key for optimal performance and scalability.

Plan for Transactions with Partition Key: Factor in transactional considerations when selecting a partition key.

Evaluate Cross-Partition Query Costs: Assess the cost and performance implications of cross-partition queries.

Construct Synthetic Partition Key: Create synthetic partition keys for specific data scenarios.

Design Hierarchical Partition Key: Implement hierarchical partition keys for organized data storage.

Microsoft Azure DP-420
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Design Sizing and Scaling for Azure Cosmos DB: Determine optimal sizing and scaling to meet data storage and performance requirements in Microsoft Azure DP-420.

Evaluate Throughput for Workloads: Calculate and evaluate throughput based on workload demands.

Choose Between Serverless and Provisioned Models: Decide between serverless and provisioned throughput models.

Design for Granular Scale Units and Resource Governance: Plan for scalability while managing resource utilization.

Evaluate Global Data Distribution Costs: Understand cost implications when distributing data globally in Microsoft Azure DP-420.

Configure Throughput via Azure Portal: Set throughput levels for containers using the Azure portal.

Implement Client Connectivity with Azure Cosmos DB SDK: Use SDKs to connect clients to Azure Cosmos DB.

Implement a Point Operation: Create, update, and delete documents using point operations.

Implement Update with Patch Operation: Use patch operations to efficiently update documents.

Manage Multi-Document Transactions with SDK Transactional Batch: Handle transactions involving multiple documents using Transactional Batch in SDK.

Perform Multi-Document Load with Bulk Support in SDK: Utilize Bulk Support in SDK for efficient multi-document data loading.

Implement Optimistic Concurrency Control using ETags: Handle concurrent updates by using ETags for optimistic concurrency control.

Override Default Consistency with Query Request Options: Customize consistency levels using query request options.

Implement Session Consistency with Session Tokens: Achieve session consistency using session tokens.

Implement Pagination in Queries: Perform queries with pagination for efficient data retrieval in Microsoft Azure DP-420.

Handle Transient Errors and 429s: Implement error handling for transient errors and HTTP 429 status codes.

Specify TTL for a Document: Set Time-To-Live (TTL) at the document level for automatic document expiration.

Retrieve and Use Query Metrics: Utilize query metrics to optimize query performance.

Implement Server-Side Programming with JavaScript: Write, deploy, and call stored procedures using JavaScript.

Design Multi-Region Write: Design and implement multi-region write solutions for high availability.

Choose Between Azure Synapse Link and Spark Connector: Select the appropriate connector for integrating Azure Cosmos DB with Azure Synapse Analytics.

Enable the Analytical Store on a Container: Enable analytical capabilities on a container in Azure Cosmos DB.

Enable a Connection to Analytical Store: Configure connections to the analytical store for querying in Azure Synapse Spark or Azure Synapse SQL.

Implement Solutions Across Services: Integrate events using Azure Functions and Azure Event Hubs, denormalize data using Change Feed and Azure Functions, and more.

Implement Azure Cognitive Search for Cosmos DB: Enhance search capabilities using Azure Cognitive Search with Cosmos DB.

Optimize Query Performance: Adjust indexes, calculate query costs, and implement Azure Cosmos DB integrated cache for optimized queries.

Develop Azure Functions Trigger for Change Feed: Use Azure Functions to process data changes through Change Feed.

Implement Denormalization with Change Feed: Leverage Change Feed for denormalization strategies.

Implement Referential Enforcement with Change Feed: Use Change Feed for enforcing referential integrity in Microsoft Azure DP-420.

Implement Aggregation Persistence with Change Feed: Utilize Change Feed for aggregating and reporting data.

Implement Data Archiving with Change Feed: Archive data using Change Feed for historical records.

Choose Index Strategy: Decide between read-heavy and write-heavy index strategies based on requirements.

Configure Custom Indexing Policy: Define a custom indexing policy through the Azure portal.

Implement Composite Index: Create composite indexes for optimizing query performance.

Monitor Metrics for Throughput and Latency: Use Azure Monitor to track throughput, latency, and data replication in Microsoft Azure DP-420.

Configure Azure Monitor Alerts: Set up alerts in Azure Monitor for proactive monitoring of Cosmos DB.

Implement and Query Azure Cosmos DB Logs: Utilize logs for monitoring and troubleshooting.

Monitor Data Distribution Across Partitions: Ensure even distribution of data across partitions for efficient performance.

Monitor Security with Logging and Auditing: Maintain security by using logs and auditing features in Microsoft Azure DP-420.

Choose Between Periodic and Continuous Backup: Decide the appropriate backup strategy based on data protection needs in Microsoft Azure DP-420.

Configure Network-Level Access Control: Set up network-level access control for Cosmos DB.

Configure Data Encryption for Cosmos DB: Enable data encryption for enhanced security.

Manage Control Plane Access with Azure RBAC: Control access to Cosmos DB using Azure Role-Based Access Control (RBAC).

Manage Data Plane Access with Keys: Handle data plane access to Cosmos DB using keys.

Manage Data Plane Access with Azure AD: Use Azure Active Directory (Azure AD) for managing data plane access to Cosmos DB in Microsoft Azure DP-420.

Configure CORS Settings: Set up Cross-Origin Resource Sharing (CORS) settings for proper web application integration.

Implement Customer-Managed Keys for Encryption: Use customer-managed keys for enhanced encryption.

Implement Always Encrypted: Enhance data security using the Always Encrypted feature.

Choose Data Movement Strategy: Select the appropriate strategy for moving data into and out of Cosmos DB.

Move Data with Azure Data Factory and Azure Synapse Pipelines: Utilize Azure Data Factory and Azure Synapse pipelines for data movement in Microsoft Azure DP-420.

Move Data with Kafka Connector and Azure Stream Analytics: Move data using the Kafka connector and Azure Stream Analytics.

Move Data with Azure Cosmos DB Spark Connector: Use the Azure Cosmos DB Spark Connector for data movement.

Choose Between Declarative and Imperative Operations: Decide when to use declarative and imperative operations.

Provision and Manage Cosmos DB Resources with ARM Templates: Use Azure Resource Manager templates (ARM templates) for provisioning and managing resources.

Migrate Between Standard and Autoscale Throughput: Manage throughput levels using PowerShell or Azure CLI in Microsoft Azure DP-420.

Initiate Regional Failover with PowerShell or Azure CLI: Perform regional failover using scripting.

Maintain Indexing Policies with ARM Templates: Use ARM templates to maintain indexing policies in production.

Note For Certification

TECH CRYPTORS is an ISO 9001:2015 CERTIFIED COMPANY, also in COLLABORATION with shaastra, INDIAN INSTITUTE OF TECHNOLOGY, madras. Certification will be with Significance of above for attended TRAINING COURSE. Also, every certificate will have a Unique Certificate Number, which will be helpful WORLDWIDE to verify the validity of every individual certificate using www.techcryptors.com.

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