DP-203: Data Engineering on Microsoft Azure - 2022 Edition

Exam DP-203: Data Engineering on Microsoft Azure || 25+ hours of video tutorials || Practice Exams || Full Syllabus Coverage || Live Demonstrations

What you will learn

This course is designed to thoroughly prepare you for the Microsoft DP-203 certification exam: Data Engineering on Microsoft Azure. By completing this course, you will gain the knowledge and practical skills required to work confidently as an Azure Data Engineer.

Some of the key areas you will master include:

• Azure Storage, including Blob Storage, and how to manage large-scale data in the cloud.
  
  

• Azure Cosmos DB for implementing highly scalable non-relational databases.
  
  

• Azure Data Lake for advanced analytics and big data storage solutions.
  
  

• Azure SQL Database for relational data management and transactional workloads.
  
  

• Azure SQL Data Warehouse and Synapse Analytics for enterprise data warehousing and large-scale data integration.
  
  

• Azure Data Factory for creating efficient and automated data pipelines.
  
  

• Azure Databricks for data processing, analytics, and machine learning integration.
  
  

• Azure Analytics Services for building real-time and batch processing solutions.
  
  

• Azure Monitoring Service for tracking performance and maintaining security across all Azure data services.

This course ensures you gain hands-on experience in all the areas covered in the DP-203 exam, so you can confidently tackle both theoretical and practical exam questions.

Requirements

To get the most out of this course, you should have:

• A basic understanding of database concepts, including relational and non-relational databases.
  
  

• Enthusiasm and determination to successfully pass the DP-203 certification exam.

No prior experience with Azure is required, but familiarity with general database concepts will help you grasp the material faster.

Course Description

DP-203: Data Engineering on Microsoft Azure is a professional-level certification designed for individuals who aspire to become experts in building, managing, and optimizing data solutions on Microsoft’s cloud platform. This course is ideal for those looking to develop a comprehensive understanding of data engineering concepts while gaining practical, hands-on experience with Azure’s extensive suite of data services. Data engineering in the Azure ecosystem involves designing and implementing systems that collect, store, process, and analyze both structured and unstructured data. This certification focuses on equipping learners with the skills necessary to manage these data solutions effectively, ensuring reliability, scalability, and security across cloud environments.

One of the key aspects of DP-203 is its emphasis on practical implementation. Unlike purely theoretical exams, DP-203 tests your ability to actually configure and use Azure services in real-world scenarios. As a data engineer, you will need to know how to design solutions that meet business requirements, implement efficient storage strategies, and create data processing pipelines capable of handling both batch and real-time data. Throughout this course, learners will explore the core components of Azure’s data ecosystem, gaining familiarity with tools such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, Cosmos DB, and Azure Stream Analytics. Each service plays a critical role in solving modern data challenges, from storing massive volumes of data to running complex analytics pipelines and streaming applications.

The DP-203 exam assesses your proficiency in several key domains. First, it evaluates your ability to implement relational and non-relational data stores effectively. This includes creating and managing databases, optimizing storage solutions, and ensuring high availability and performance. For relational data stores, such as Azure SQL Database and Synapse Analytics, you will learn how to design schemas, configure indexing, and implement security features. For non-relational solutions, such as Cosmos DB and Azure Blob Storage, you will understand how to handle distributed data, manage partitioning, and configure consistency levels.

Security and monitoring are also critical components of the DP-203 certification. Data engineers must ensure that sensitive information is protected through encryption, masking, and access controls, while continuously monitoring system performance to detect potential issues and optimize resource usage. This course teaches you how to set up monitoring solutions in Azure to track the health of data stores, pipelines, and analytics services, enabling proactive management of data solutions.

Another essential aspect covered in this course is the development of batch and streaming data pipelines. Batch processing involves handling large volumes of data efficiently, while streaming solutions allow for real-time processing of continuous data streams. You will gain practical experience in designing pipelines using Azure Data Factory and Azure Databricks, as well as building real-time streaming solutions with Azure Stream Analytics.

By completing this course, learners not only gain the theoretical knowledge required to pass the DP-203 exam but also acquire the hands-on skills needed to implement, monitor, and optimize real-world Azure data solutions. This combination of conceptual understanding and practical application ensures that you are well-prepared to excel as a certified Azure Data Engineer.

Why take the DP-203 certification?

Data engineering is one of the fastest-growing careers in technology. According to a 2019 report by dice.com, job postings for data engineers grew by 88 percent year over year, the highest growth rate among all technical positions.

Furthermore, a recent study by Pearson VUE revealed that after obtaining the DP-203 certification:

• 65 percent of professionals reported feeling more confident in their current role.
  
  

• 35 percent of certified individuals observed an increase in their salary.

DP-203 is not just an exam; it is a stepping stone to career growth and enhanced professional credibility in cloud-based data engineering.

Highlights of this course

This DP-203 training is designed to be comprehensive, practical, and aligned with Microsoft’s latest syllabus. Key highlights include:

• Full coverage of the latest DP-203 syllabus as released by Microsoft.
  
  

• 100 percent exam-oriented content to ensure readiness.
  
  

• More than 25 hours of video tutorials with practical demonstrations.
  
  

• Two full-length practice exams to simulate the real test environment.
  
  

• Quizzes designed specifically to reinforce your understanding of core concepts.
  
  

• Supporting study materials, including PowerPoint presentations and demo files.
  
  

• Lifetime access to the course content, including all future updates.
  
  

• Certificate of course completion upon finishing the course.

By the end of this course, you will have a solid grasp of both theoretical and practical aspects of data engineering in Azure.

Intended Audience

This course is ideal for:

• Individuals preparing for the DP-203 certification exam.
  
  

• Professionals aiming to build a career as an Azure Data Engineer.
  
  

• Microsoft Azure Data Scientists looking to expand their skills.
  
  

• Database developers and administrators who want to transition to Azure.
  
  

• Data analysts or similar roles seeking to learn cloud-based data solutions.
  
  

• On-premises database professionals who want to implement Azure data technologies.

Whether you are an experienced data professional or just starting with cloud-based data services, this course provides a structured path to becoming proficient in Azure data engineering.

To enroll in this course, you should have:

• Basic knowledge of database concepts, including tables, indexes, queries, and relationships.
  
  

• A willingness to learn and practice cloud-based data services in Azure.
  
  

• Comfort with English, as the course material and instructions are presented in English. Please note that captions may not be sufficient for complete understanding, so proficiency in English is recommended.

No prior experience with Microsoft Azure is required, making this course accessible to beginners as well as experienced IT professionals.

Technologies covered in DP-203 certification

Implement Non-Relational Data Stores

This course provides a comprehensive understanding of non-relational, or NoSQL, data solutions within Microsoft Azure. Non-relational databases are designed to handle unstructured or semi-structured data, which is increasingly common in modern applications. You will gain practical knowledge of Azure’s key non-relational services and learn how to implement scalable and efficient data storage solutions.

With Azure Blob Storage, you will explore the different storage tiers and understand how to choose the right tier for various workloads. The course covers best practices for access patterns, data lifecycle management, and optimizing storage costs for large-scale unstructured datasets. You will also learn to manage containers, blobs, and metadata, ensuring that data is accessible and efficiently organized for analytics and operational purposes.

Azure Cosmos DB is another critical service covered in this course. You will learn how to implement globally distributed databases with multi-region replication to achieve high availability and low-latency access. The course also teaches how to configure different consistency models to balance performance and reliability, optimize indexing strategies, and write efficient queries for large datasets. By mastering these skills, you will be able to design NoSQL solutions that support real-time applications, big data processing, and other cloud-native workloads.

Implement Relational Data Stores

Relational data management remains a core aspect of data engineering, and this course provides in-depth coverage of Azure’s relational database services. With Azure SQL Database, you will learn how to create, configure, and manage relational databases in the cloud. Topics include scaling resources, implementing security measures, performing automated backups, and ensuring high availability. You will also gain insights into performance optimization, query tuning, and maintenance strategies for production workloads.

Azure Synapse Analytics Service is also explored in detail. This service allows you to implement large-scale analytical workloads and data warehousing solutions. You will learn how to integrate Synapse with other Azure services, design efficient data models, and optimize queries for analytics. By combining these tools, you will be equipped to handle both operational transactional workloads and analytical reporting needs efficiently in the cloud.

Manage Data Security

Security is a fundamental responsibility for any data engineer. This course emphasizes strategies for protecting sensitive information and ensuring compliance with industry standards. You will learn how to implement data masking to protect confidential data in production and development environments, allowing safe use of sensitive datasets without exposing critical information.

In addition, the course covers data encryption, including both at-rest and in-transit encryption strategies. You will understand how to secure data across storage, databases, and data pipelines, ensuring that all information remains protected against unauthorized access or breaches. By mastering these security practices, you will be able to build secure, compliant, and reliable data solutions in Azure.

Develop batch processing solutions

Batch processing is essential for large-scale data transformations. Learn to use:

• Azure Data Factory to build automated data pipelines and orchestrate ETL processes.
  
  

• Azure Databricks to process large datasets using Apache Spark, Python, and SQL.

These skills will enable you to manage and transform data efficiently for reporting, analytics, and machine learning.

Develop streaming solutions

Real-time data processing is a critical requirement for modern applications. This course covers:

• Azure Stream Analytics for ingesting, processing, and analyzing streaming data in real time.
  
  

• Integration with other Azure services to deliver timely insights and actionable results.

By mastering streaming solutions, you can handle scenarios such as IoT data processing, live dashboards, and fraud detection systems.

Monitor data storage

Monitoring and performance tracking are essential for maintaining high-quality data services. You will learn how to monitor:

• Azure Blob Storage for availability, performance, and access patterns.
  
  

• Azure Data Lake to track storage metrics and optimize performance.
  
  

• Azure SQL Database for database health, query performance, and resource utilization.
  
  

• Azure Synapse Analytics and Azure Cosmos DB for analytics, queries, and overall system health.
  
  

• Azure Monitoring Service for centralizing alerts, logs, and telemetry data.

This ensures you can maintain optimal performance and quickly detect and resolve issues.

Monitor data processing

Monitoring data pipelines and processing systems ensures timely and accurate data delivery. Learn to monitor:

• Azure Data Factory pipelines, including activity runs, trigger schedules, and pipeline performance.
  
  

• Azure Databricks jobs, clusters, and notebook executions for batch processing.
  
  

• Azure Stream Analytics jobs, input and output health, and job performance metrics.

With these skills, you can ensure that your data processing pipelines run reliably and efficiently.

Optimize Azure data solutions

Optimizing data solutions is crucial for cost efficiency and performance. You will learn how to:

• Optimize Azure Data Lake for faster queries and reduced storage costs.
  
  

• Optimize Azure Stream Analytics to handle higher throughput and low latency.
  
  

• Optimize Azure Synapse Analytics for complex analytical queries and large-scale data workloads.
  
  

• Optimize Azure SQL Database to improve query performance, indexing, and resource allocation.

These techniques help ensure your cloud data solutions are both cost-effective and high-performing.

Student Feedback

Students from previous cohorts have shared their experiences:

• “One of the most amazing courses I have ever taken on Exam-Labs. The instructor is very professional and has extensive experience in the subject.” – Khadija Badary
  
  

• “The course explains most concepts very clearly. Highly recommended for beginners.” – Manoranjan Swain
  
  

• “I appreciate how this course explains everything in great detail for beginners. It has helped me overcome challenges at my work.” – Benjamin Curtis
  
  

• “Good course for beginners. The labs are extremely helpful to grasp the concepts. Thank you!” – Sapna

This feedback demonstrates the practical value and comprehensive coverage of the course.

Who this course is for

The DP-203 course is ideal for:

• Individuals aiming to clear the DP-203 certification exam.
  
  

• Professionals who aspire to become Azure Data Engineers.
  
  

• Database Developers and Administrators (DBAs) looking to migrate to cloud solutions.
  
  

• Business Intelligence (BI) developers who want to leverage Azure analytics services.
  
  

• Data Engineers, Data Scientists, and Data Analysts seeking to enhance their skills.
  
  

• On-premises database professionals who want to learn how to implement Azure data technologies.

This course provides a structured learning path for anyone looking to build a successful career in Azure data engineering.

Course Benefits

Enrolling in the DP-203: Data Engineering on Microsoft Azure course provides numerous advantages for professionals looking to advance their careers in cloud-based data engineering. The course is carefully designed to combine theoretical knowledge with practical, hands-on experience, ensuring that learners not only understand concepts but also know how to apply them in real-world scenarios.

Some of the key benefits of this course include:

• Comprehensive coverage of the DP-203 exam syllabus, ensuring that you are fully prepared for certification.
  
  

• Hands-on experience with essential Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, and Cosmos DB.
  
  

• Practical guidance on designing, implementing, and optimizing data solutions for both relational and non-relational databases.
  
  

• Skills to develop efficient batch processing and real-time streaming pipelines, critical for modern data-driven applications.
  
  

• Knowledge of data security best practices, including encryption, masking, and access control, to protect sensitive information.
  
  

• Expertise in monitoring and troubleshooting data services and pipelines using Azure monitoring tools.
  
  

• Ability to optimize data storage and processing solutions to improve performance and reduce operational costs.
  
  

• Increased confidence in handling large-scale data engineering projects in the Azure cloud environment.
  
  

• Improved career prospects, including opportunities for higher-paying roles and advancement in cloud data engineering.
  
  

• Access to quizzes, practice tests, and demo resources to reinforce learning and track progress.

By completing this course, you will gain the skills, confidence, and certification readiness needed to become a proficient Azure Data Engineer capable of implementing and managing cloud data solutions effectively.

Enroll Today

Take the first step toward becoming a certified Azure Data Engineer by enrolling in the DP-203: Data Engineering on Microsoft Azure course today. This course is designed for professionals who want to master the skills required to design, implement, and manage robust data solutions in the Azure cloud. By enrolling, you gain access to over 25 hours of video content, practical demos, quizzes, and practice tests that cover 100% of the DP-203 exam syllabus.

With full lifetime access, you can learn at your own pace and revisit any topic whenever needed. The course also provides additional resources, including presentations and demo files, to reinforce your learning. Whether you are a database developer, data analyst, or IT professional, this course will equip you with the knowledge and hands-on experience to excel in cloud data engineering roles.

Start your journey toward certification and career growth. Enroll today and take a confident step into the future of data engineering with Microsoft Azure.