Microsoft Certified: Implementing an Azure Data Solution DP-200 Training and Certification
DP-200: Implementing an Azure Data Solution Training in Coimbatore
Course Overview
The DP-200 certification course, Implementing an Azure Data Solution, is designed for professionals aiming to develop and implement end-to-end data solutions in the Microsoft Azure environment. It focuses on ingesting, storing, transforming, and securing data to support business intelligence and analytics.
At Linux Training Center in Coimbatore, this course offers hands-on, job-focused training that equips learners with the technical skills needed to handle complex data platform projects using modern Azure tools and services.
Why Choose DP-200?
As data becomes a core business asset, there is growing demand for professionals who can build secure and scalable data systems in the cloud. The DP-200 course covers practical implementation of data solutions using Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and more.
DP-200 is a critical component of the Microsoft Certified: Azure Data Engineer Associate certification, preparing you for real-time data handling and processing on Azure.
Who Should Enroll?
This course is ideal for data engineers, database administrators, ETL developers, BI professionals, and cloud engineers who want to specialize in data engineering within the Azure ecosystem. It’s also highly recommended for professionals preparing for Azure certifications in data engineering.
Prior knowledge of SQL, data modeling, and basic Azure concepts is helpful for maximum learning benefit.
What You Will Learn
Implement data storage solutions using Azure Blob, Data Lake, and SQL
Design and manage data ingestion pipelines with Azure Data Factory
Develop batch and real-time data processing solutions
Optimize data storage and retrieval for performance and cost
Implement data security using encryption, firewalls, and identity controls
Monitor, troubleshoot, and optimize data solutions using Azure Monitor and Log Analytics
You will learn how to build complete data pipelines that support enterprise-level analytics and reporting requirements.
Course Highlights
Aligned with Microsoft DP-200 certification objectives
Hands-on lab sessions using real-world Azure tools
Instructor-led classes by certified Azure Data Engineers
Practice assessments and exam preparation included
Flexible weekday and weekend batch options
Career Opportunities
With the successful completion of this course, you can step into roles such as Azure Data Engineer, Cloud Database Administrator, Big Data Analyst, and Data Platform Specialist. The DP-200 certification is highly valued by companies moving their data infrastructure to the cloud, making you a sought-after candidate in the job market.
Why Linux Training Center?
Linux Training Center in Coimbatore offers industry-standard training with hands-on learning, guided by experienced Azure professionals. Our training approach emphasizes real-time projects and practical use cases to help learners confidently manage enterprise data platforms in Azure environments.
Microsoft Certified Implementing an Azure Data Solution Exams DP-200 Syllabus
Modules
Implement Data Storage Solutions (40-45%)
Implement non-relational data stores
- implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage
- implement data distribution and partitions
- implement a consistency model in Cosmos DB
- provision a non-relational data store
- provide access to data to meet security requirements
- implement for high availability, disaster recovery, and global distribution
Implement relational data stores
- provide access to data to meet security requirements
- implement for high availability and disaster recovery
- implement data distribution and partitions for Azure Synapse Analytics
- implement PolyBase
Manage data security
- implement data masking
- encrypt data at rest and in motion
Manage and Develop Data Processing (25-30%)
Develop batch processing solutions
- develop batch processing solutions by using Data Factory and Azure Databricks
- ingest data by using PolyBase
- implement the integration runtime for Data Factory
- create linked services and datasets
- create pipelines and activities
- create and schedule triggers
- implement Azure Databricks clusters, notebooks, jobs, and autoscaling
- ingest data into Azure Databricks
Develop streaming solutions
- configure input and output
- select the appropriate built-in functions
- implement event processing by using Stream Analytics
Monitor and Optimize Data Solutions (30-35%)
Monitor data storage
- monitor relational and non-relational data stores
- implement Blob storage monitoring
- implement Data Lake Storage Gen2 monitoring
- implement Azure Synapse Analytics monitoring
- implement Cosmos DB monitoring
- configure Azure Monitor alerts
- implement auditing by using Azure Log Analytics
Monitor data processing
- monitor Data Factory pipelines
- monitor Azure Databricks
- monitor Stream Analytics
- configure Azure Monitor alerts
- implement auditing by using Azure Log Analytics
Optimize Azure data solutions
- troubleshoot data partitioning bottlenecks
- optimize Data Lake Storage Gen2
- optimize Stream Analytics
- optimize Azure Synapse Analytics
- manage the data lifecycle
To ensure success in Microsoft Implementing an Azure Data Solution certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Implementing an Azure Data Solution (DP-200) exam.
