Become an Azure Data Engineer Associate with Microsoft Certified Training

Becoming an Azure Data Engineer Associate is a great career move, and Microsoft Certified Training can help you get there. The certification is designed to validate your skills in designing, implementing, and managing data solutions on Microsoft Azure.

To get started, you'll need to have a good understanding of Azure services and tools, including Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. These are all key components of the Azure data platform, and mastering them will serve you well in your role as a Data Engineer Associate.

Microsoft Certified Training offers a range of courses and study materials to help you prepare for the certification exam, including online courses, hands-on labs, and study guides. These resources are designed to be flexible and adaptable to your learning style and schedule.

To get started on your Azure Data Engineer Associate journey, you'll need to have a good grasp of Azure services and tools. The Azure Data Engineer Associate certification is designed for data engineers and professionals who want to demonstrate their skills in designing and implementing data engineering solutions on Azure.

You'll need to have a good understanding of data storage options in Azure, including Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. These services are crucial for storing and processing large amounts of data.

To prepare for the certification, focus on learning about Azure services such as Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. These services are key components of data engineering pipelines and will be tested on the certification exam.

Getting hands-on experience in your work role is key to learning and retaining knowledge. This allows you to measure each skill and see how it applies to real-world scenarios.

Hands-on experience isn't always possible, but if you have access to Azure, creating a small example project can help. This project can utilize skills like those measured in the Microsoft databases.

Using databases like AdventureWorks or WideWorldImporters can provide a practical way to work through each skill. These databases offer a range of scenarios to practice and learn from.

To get started with this accelerated course, you should have a solid foundation in data processing languages. SQL, Python, and Scala are all great places to start.

To be more specific, you should have knowledge in data processing languages like SQL, Python, or Scala. This will give you a head start on understanding the course material.

Parallel processing and data architecture patterns are also essential prerequisites. Understanding how to process data in parallel and designing efficient data architectures will help you navigate the course with ease.

To summarize, here are the key prerequisites for this course:

You have two options to gain the Associate certification: pass 2 exams, DP-200 and DP-201, or take a single exam, DP-203. The DP-203 exam will retire on June 30th, 2021, if you opt for the first two exams.

The DP-203 exam is a single test with 70 questions and a pass mark of 700/1000. This exam covers a wide breadth of topics, making it a great choice if you've been studying for the DP-200 and DP-201 exams.

The exam is divided into four main categories: Design and implement data storage (40-45%)Design and develop data processing (25-30%)Design and implement data security (10-15%)Monitor and optimize data storage and data processing (10-15%)

There are two ways to gain the Associate certification, each a valid method, although the first option will retire on June 30th, 2021. The first option involves passing two exams: DP-200 and DP-201.

The DP-203 exam is a single exam that combines content from both the DP-200 and DP-201 exams. It's a 70-question exam with a pass mark of 700/1000.

The exam assesses four main categories: design and implement data storage, design and develop data processing, design and implement data security, and monitor and optimize data storage and data processing.

Here are the specific percentages for each category:

You can download a detailed list of the required skills to help you identify areas where you may need to learn.

To earn the DP 203 certification, you'll need to complete the Edureka training program. This program includes an Edureka Training Certificate upon completion.

The certification process also involves graded performance, which is evaluated through quizzes and projects. You'll need to fully participate in the DP 203 Course to be eligible for the certification.

Here are the types of certificates you can expect to receive upon completion of the Edureka training program:

To pass the Microsoft Azure Data Engineer Associate (DP-203) certification exam, you'll need to have a solid understanding of designing and implementing data storage, data processing, and data security. Microsoft Press offers a comprehensive certification preparation course that covers these key topics.

There are four modules in the course, each lasting around 1-3 hours. The modules are:

These modules are designed to help you pass the DP-203 certification exam and are available on the Microsoft Press website.

If you're looking for additional resources to help you prepare for the exam, you can consider online learning platforms like Pluralsight, Whizlabs, and Udemy. These platforms offer a range of courses and practice exams that can help you reinforce your knowledge and build your skills.

Here are some key features of the Microsoft Azure Data Engineer Associate (DP-203) certification course:

As an Azure Data Engineer Associate, you'll work with various tools and technologies to design, implement, and manage data storage solutions, data pipelines, and data processing. Azure Data Factory, for instance, allows you to create and manage data pipelines, which can be used to integrate data from different sources.

To get started with Azure Data Factory, you'll need to understand its transformation methods, which include mapping data flows, wrangling data, and compute transformations. These methods enable you to transform and process data in various ways, such as filtering, aggregating, and joining data.

Azure Data Factory also allows you to integrate SQL Server Integration Services (SSIS) packages, which can be used to perform complex data transformations and data movement tasks. To integrate SSIS packages, you'll need to set up an Azure-SIS integration runtime and configure it to work with your data factory.

In addition to Azure Data Factory, you may also work with Azure Databricks, a cloud-based platform for data engineering and analytics. Azure Databricks provides a range of features and tools, including Apache Spark, Delta Lake, and SQL Warehouses, which can be used to process and analyze large datasets.

Here are some key skills and concepts to keep in mind when working with Azure Databricks:

These skills and concepts are essential for any Azure Data Engineer Associate, and understanding them will help you to design, implement, and manage data storage solutions, data pipelines, and data processing tasks more effectively.