DP-201 Designing an Azure Data Solution Course
DP-201 Designing an Azure Data Solution Certification
DP-201 Designing an Azure Data Solution course helps you to reach the top of your career in Azure data solution and understanding more how it works in the real world. DP-201 exam is focused a lot more on azure design, planning, and security Azure service. Microsoft DP-201 Designing an Azure Data Solution exam is to help you to learn and prepare yourself and organisation. DP-201 Designing an Azure Data Solution course establishes your expertise in designing data processing solutions, designing data storage solutions, designing data security and compliance, which explore your career opportunity in Azure Data Engineer. DP -201 certification exam provides you will learn in-depth knowledge about which Azure services meet all the business requirements.
DP-201 Designing an Azure Data Solution certification training course Azure Synapse Analytics, Cosmos DB, Data Lake Storage Gen2, Blob Storage, Azure Stream Analytics, Azure Data Factory, Data Bricks, Azure Data Factory, Security, Data Policy and Standards.
DP-201 certification course you will learn how to design data distribution and partitions, high availability of data, disaster recovery and high scalability of data, ingest data from other azure services and what is a result to other services, authentication techniques, encryption techniques, data masking, data retention, data auditing, data privacy, and data classification, purging, archiving.
DP-200: Implementing an Azure Data Solution Certification
There is no certification exam associated with this training course.
The DP-201 exam has been updated to DP-203.
Logitrain course material for DP-201 Designing Azure Data Solution and Designing an Azure Data Solution – (DP-201) Kindle Edition
- Recommend an Azure data storage solution based on requirements
- Design non-relational cloud data stores
- Design relational cloud data stores
- Design batch processing solutions
- Design real-time processing solutions
- Design security for source data access
- Design security for data policies and standards
This course is likely to add to the employment-related skills of the participants. The skills developed are likely to be used in the course of being an employee or working in a business.
- Azure data engineers
- Choose the correct data storage solution to meet the technical and business requirements
- Choose the partition distribution type
- Design data distribution and partitions
- Design for scale (including multi-region, latency, and throughput)
- Design a solution that uses cosmos db, data lake storage gen2, or blob storage
- Select the appropriate cosmos db api
- Design a disaster recovery strategy
- Design for high availability
- Design data distribution and partitions
- Design for scale (including latency, and throughput)
- Design a solution that uses azure synapse analytics
- Design a disaster recovery strategy
- Design for high availability
- Design batch processing solutions that use data factory and azure databricks
- Identify the optimal data ingestion method for a batch processing solution
- Identify where processing should take place, such as at the source, at the destination, or in transit
- Design for real-time processing by using stream analytics and azure databricks
- Design and provision compute resources
- Plan for secure endpoints (private/public)
- Choose the appropriate authentication mechanism, such as access keys, shared access signatures (sas), and azure active directory (azure ad)
- Design data encryption for data at rest and in transit
- Design for data auditing and data masking
- Design for data privacy and data classification
- Design a data retention policy
- Plan an archiving strategy
- Plan to purge data based on business requirements
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