Microsoft Azure Certification DP-201

The Designing an Azure Data Solution training is an exciting way to develop one’s curiosity of designing various data platform technologies on the Azure cloud. In this course, students get to learn to implement Azure solutions that are in line with technical requirements and business objectives. Our carefully crafted courseware allows students to prepare extensively for the DP-201 exam.

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Microsoft Azure Certification DP-201 Course Overview


Microsoft Azure certifications are on the rise these days with businesses extensively using the cloud services to leverage the potential of the cloud. Designing an Azure Data Solution DP-201 certification gives an insight on cloud, on-premises, and hybrid data scenarios which further incorporate NoSQL Data Warehouse data. The course also trains students on how to design process architectures using a variety of technologies for batch as well as streaming data.

This DP-201 training provides students with the knowledge of the design process of data security considering data policies, data access, and standards. It also covers designing Azure data solutions including availability, optimization, and disaster recovery of batch processing, big data, and streaming data solutions.

This is an intermediate training course that builds on your existing understanding of the Azure platform. We prepare cloud enthusiasts to design Azure cloud solutions that are consistent, reliable and highly scalable while also aligning to the specific business goals.

Course Curriculum


Audience

The Microsoft Azure Certification DP-201 is intended to train professionals who have prior knowledge and experience working on the Microsoft Azure platforms. This course can be taken by:

  • Data Professionals
  • Data Architects
  • Business Intelligence Professionals
  • Professionals who wish to learn about the Microsoft Azure data platform technologies
  • Professionals who aim to pass the Designing an Azure Data Solution DP-201 exam

Eligibility Criteria

Participants of this course are expected to have prior knowledge of core data concepts, cloud computing and a working experience in data solutions. They must have specifically completed these certifications:

  • AZ-900 - Azure Fundamentals
  • DP-900 - Microsoft Azure Data Fundamentals
  • DP-200 – Implementing an Azure Data Solution

 

Course Objectives

Designing an Azure Data Solution DP-201 training prepares candidates for the DP-201 certification exam and infests the following skills in candidates:

  • Design Azure data storage solutions
  • Design data processing solutions
  • Design for data security and compliance

About The Examination

Exam: Designing an Azure Data Solution

Exam Code: DP-201

No. of Questions: 40-60

Exam Duration: 180 minutes

Passing Score: 700 (on a scale of 1-1000)

Course Benefits

This course training makes you an Azure Data Engineer – a cloud practitioner profile witnesses a high demand in the prevailing IT industry where businesses are more inclined towards moving their services to the cloud.

This course at Vinsys is a comprehensive course designed to educate you on the technical essentials required to gain in-depth knowledge of designing an Azure Data Solution and to pass the DP-201 exam.

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Training Options


ONLINE TRAINING

Instructor-Led Session


  • Instructor-led Online Training
  • Experienced Subject Matter Experts
  • Approved and Quality Ensured Training Material
  • 24*7 Leaner Assistance And Support

CORPORATE TRAINING

Customized to your team's need


  • Customized Training Across Various Domains
  • Instructor-Led Skill Development Program
  • Ensure Maximum ROI for Corporates
  • 24*7 Learner Assistance and Support

Course Outline


In this module, the students will learn how to design and build secure, scalable, and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout architecture, regardless of technology choice, can help you design, build, and continuously improve the architecture for an organization's benefit.

Lessons

  • Core Principles of Creating Architectures
  • Design with Security in Mind
  • Performance and Scalability
  • Design for availability and recoverability
  • Design for efficiency and operations
  • Case Study

Lab : Case Study

  • Design with security in mind
  • Consider performance and scalability
  • Design for availability and recoverability
  • Design for efficiency and operations

After completing this module, students will be able to:

  • Design with security in mind
  • Consider performance and scalability
  •  Design for availability and recoverability
  •  Design for efficiency and operations

In this module, students will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on premises systems into a cloud data warehouse and how it can be automated. The students will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.

Lessons

  • Lambda architectures from a Batch Mode Perspective
  • Design an Enterprise BI solution in Azure
  • Automate enterprise BI solutions in Azure
  • Architect an Enterprise-grade Conversational Bot in Azure

Lab : Architect an Enterprise-grade Conversational Bot in Azure

  • Designing an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure
  • Automate an Enterprise BI solution in Azure

After completing this module, students will be able to:

  •  Understand the core principles of creating architectures
  •  Describe Lambda architectures from a Batch Mode Perspective
  •  Design an Enterprise BI solution in Azure
  •  Automate enterprise BI solutions in Azure
  •  Architect an Enterprise-grade conversational bot in Azure

In this module, the students will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture that streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.

Lessons

  •  Describe Lambda architectures for a Real-Time Perspective
  •  Architect a stream processing pipeline with Azure Stream Analytics
  •  Design a stream processing pipeline with Azure Databricks
  •  Create an Azure IoT reference architecture

Lab : Azure Real-Time Reference Architectures

  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture

After completing this module, students will be able to:

  • Describe Lambda architectures for a Real-Time Mode Perspective
  • Architect a stream processing pipeline with Azure Stream Analytics
  • Design a stream processing pipeline with Azure Databricks
  • Create an Azure IoT reference architecture

In this module, the students will learn how to incorporate security into an architecture design and learn the key decision points in Azure provided to help create a secure environment through all the layers of architecture.

Lessons

  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security

Lab : Data Platform Security Design Considerations

  • Defense in Depth Security Approach
  • Identity Protection

After completing this module, students will understand the following:

  • Defense in Depth Security Approach
  • Identity Management
  • Infrastructure Protection
  • Encryption Usage
  • Network Level Protection
  • Application Security

In this module, students will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing storage performance are important to ensure users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into the architecture.

Lessons

  • Adjust Workload Capacity by Scaling
  • Optimize Network Performance
  • Design for Optimized Storage and Database Performance
  • Identify Performance Bottlenecks
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • Design Backup and Restore strategies

Lab : Designing for Resiliency and Scale

  • Adjust Workload Capacity by Scaling
  • Design for Optimized Storage and Database Performance
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures

After completing this module, students will be able to:

  • Adjust Workload Capacity by Scaling
  • Optimize Network Performance
  • Design for Optimized Storage and Database Performance
  • Identify Performance Bottlenecks
  • Design a Highly Available Solution
  • Incorporate Disaster Recovery into Architectures
  • Design Backup and Restore strategies

In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend and they will understand how to design architectures that eliminate waste and gives them full visibility into what is being utilized in the organization's Azure environment.

Lessons

  • Maximizing the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error

Lab : Design for Efficiency and Operations

  • Maximize the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error

After completing this module, students will be able to:

  • Maximize the Efficiency of your Cloud Environment
  • Use Monitoring and Analytics to Gain Operational Insights
  • Use Automation to Reduce Effort and Error

Course Reviews


FAQ's


We include the following domains in this training:

  • Design Azure data storage solutions (40-45%)
  • Design data processing solutions (25-30%)
  • Design for data security and compliance (25-30%)

Candidates appearing for the Azure DP-201 exam are recommended to have completed the Azure DP-200 exam and Azure Fundamentals AZ-900 exam.

Once you successfully clear the DP-200 & DP-201 exams, you will be known as a Microsoft Certified: Azure Data Engineer Associate.

This Azure certification will provide your career with the following benefits:

  • You will gain the expertise of an Azure Data Engineer
  • It validates your technical skills including compute, networking, storage, security and other cloud operations on Azure cloud
  • It recognizes your Azure skills globally
  • It makes you eligible for the top-paying jobs in the market
  • You stand out of the crowd with this addition in your profile

Yes. The DP-201 certificate is valid for 2 years and needs to be renewed after the period.