Microsoft DP-201 Study Guide Content Orientation

If you are willing to attempt this exam, you have fulfilled the requirement of being a Microsoft Azure data engineer who collaborates with business stakeholders. Because then, you hold the position to pinpoint and depict the fulfilling necessities. You shall be able to create data solutions with these necessities in turn utilizing Azure data services.

The content of this exam divides into different sections where each holds a certain weightage. This weightage is conclusive and is available to provide an outline about how involved each segment is in the exam:

· Design Azure data storage solutions (40-45%)

· Design data processing solutions (25-30%)

· Design for data security and compliance (25-30%)

Furthermore, through the Microsoft DP-201 practice tests, DumpsArena also provides you with the content outlining the study material. This material consists of the authentic material guideline verified by Microsoft experts. The following points clearly show the outline the certification exam consists of:

Azure for the Data Engineer

· You will secure the information on various information stage innovations that are open, and by what implies a Data Engineer can take advantage of this innovation to business esteem.

Store Data in Azure

· Get familiar with the essentials of capacity the board in Azure.

· How to make a Storage Account

· How to pick the correct model for the information you need to store in the cloud.

Work with Relational Data in Azure

· Azure upholds a few mainstream SQL-based information base arrangements that include SQL Server, PostgreSQL, and MySQL. Figure out how to utilize these venture information arrangements in Azure to store and recover your application's information in the cloud.

Work with NoSQL data in Azure Cosmos DB.

· How to utilize the Azure entrance, the Azure Cosmos DB expansion for Visual Studio Code, and the Azure Cosmos DB.NET Core SDK to work with your NoSQL information where you need, and furnish your clients with high accessibility, regardless of where they are on the planet.

Large-Scale Data Processing with Azure Data Lake Storage Gen2

· How Azure Data Lake Storage can make handling Big Data logical arrangements more effective and that it is so natural to set up.

· The means this takes to find a way into basic designs, just as the various techniques for transferring the information to the information store.

· Inspect the horde of safety includes that will guarantee your information is secure.

Implement a Data Streaming Solution with Azure Streaming Analytics

· Learn the ideas of occasion preparing and streaming information and how this applies to Azure Stream Analytics.

· Set up a stream examination task to stream information and figure out how to oversee and screen a running position.

Implement a Data Warehouse with Azure Synapse Analytics

· Azure Synapse Analytics gives a relational big data store that can scale to Petabytes of information.

· You will see here how Azure Synapse Analytics can accomplish this scale with its Massively Parallel Processing (MPP) engineering.

· Create an information distribution center in minutes and utilize recognizable questioning language to construct reports.

· Load monstrous measures of information in minutes, and guarantee that your information stockroom is secure.

Data Engineering with Azure Databricks

· Learn how to utilize the potential of Apache Spark and efficacious clusters operating on the Azure Databricks platform to manage large data organizing workloads in the cloud.