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CoursesAzureDP-203: Azure Data Engineer Associate

Azure

DP-203: Azure Data Engineer Associate

Professionals who successfully complete DP-203 are certified to design, implement, and oversee scalable, secure data solutions on Microsoft Azure, including pipelines for data processing, storage, and analytics.

5/5(4,890 Reviews)

Level

Intermediate

Duration

8 Weeks

What is DP-203: Azure Data Engineer Associate?

The Microsoft certification DP-203: Azure Data Engineer Associate is intended for data professionals who use Azure services to design and implement data solutions. It confirms proficiency in the following areas: Data Storage: Using Azure SQL, Cosmos DB, and Synapse Analytics to implement relational, non-relational, and data warehouse solutions.

Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

DP-203: Azure Data Engineer Associate Course Curriculum

Introduction to Data Engineering on Azure

Section 1

Understand the role of a data engineer, Azure data services, and data architecture concepts.

Azure data services overview

Data engineering lifecycle

Cloud storage options

Data pipelines

Design and Implement Data Storage

Section 2

Design relational and non-relational data solutions using Azure storage services.

Azure SQL Database

Cosmos DB

Data Lake Storage

Storage partitioning & indexing

Design and Develop Data Processing

Section 3

Process and transform data using batch and streaming techniques.

Azure Data Factory

Azure Databricks

Stream Analytics

ETL pipelines

Design and Implement Data Security

Section 4

Secure data and manage access using Azure-native solutions.

Role-Based Access Control (RBAC)

Data encryption

Key Vault

Network security

Design and Implement Data Integration

Section 5

Integrate data across multiple sources for analytics and reporting.

Data ingestion pipelines

Data movement strategies

Data transformation

API & event integration

Monitor and Optimize Data Solutions

Section 6

Monitor performance, optimize resource usage, and troubleshoot data pipelines.

Azure Monitor

Log Analytics

Performance tuning

Alerts & diagnostics

Develop and Implement Big Data Solutions

Section 7

Use Azure tools for big data processing and analytics workloads.

Azure Synapse Analytics

Spark & Hadoop

PolyBase

Distributed data processing

Implement Real-Time Analytics Solutions

Section 8

Design real-time analytics pipelines using streaming services.

Azure Stream Analytics

Event Hubs

IoT Hub integration

Data stream processing

Implement Data Governance and Compliance

Section 9

Apply governance, data quality, and compliance practices for data solutions.

Data catalog & lineage

Data quality rules

Regulatory compliance

Classification & labeling

Exam Preparation and Case Studies

Section 10

Practice with hands-on labs, real-world scenarios, and mock exams.

Hands-on labs

Mock exams

Case studies

Best practices

Key Projects

DP-203: Azure Data Engineer Associate

Customer Sales Analytics Pipeline

Create an end-to-end ETL pipeline that feeds Azure Data Lake with sales and customer data from various sources. For Power BI reporting, transform it and store it in Azure Synapse Analytics. Pay attention to data transformation, cleansing, and visualization.

Real-Time IoT Sensor Data Processing

Create a streaming data solution that processes IoT sensor data in real-time by utilizing Event Hub and Azure Stream Analytics. Implement monitoring and anomaly alerting, and store processed data in Cosmos DB or Data Lake.

Social Media Data Warehouse

Utilize Azure Data Factory to extract social media data from APIs, then use Databricks to transform it before importing it into a Synapse Analytics data warehouse. Create insights such as trend reports, user engagement, and sentiment analysis using this warehouse.

DP-203: Azure Data Engineer Associate – Associate Training Program

Name: DP-203: Azure Data Engineer Associate
Rating: 5.0 (4890 reviews)

Category

Associate

Exam Name:

DP-203: Azure Data Engineer Associate – Associate

Exam Code:

N.A.

Exam Duration:

N.A.

Exam Format:

N.A.

Passing Score:

N.A.

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Frequently Asked Questions (FAQs)

What is the DP-203: Azure Data Engineer Associate certification?

DP-203 validates expertise in designing and implementing data solutions using Azure services. It covers data storage, processing, integration, and security. Techpratham explains that it’s perfect for professionals aiming to work with big data on Azure.

Who should take the DP-203 exam?

This certification is ideal for data engineers, database professionals, and developers. It suits those responsible for building and managing scalable data platforms. Techpratham highlights that candidates with SQL and ETL knowledge are well-prepared.

What skills are measured in DP-203?

The exam tests skills in designing data storage, developing data processing, securing data, and monitoring solutions. It covers services like Azure Synapse, Data Lake, and Databricks. Techpratham notes that real-world pipeline knowledge is critical.

What are the prerequisites for DP-203?

There are no mandatory prerequisites, but familiarity with databases, ETL processes, and cloud basics helps. Strong knowledge of SQL and Python is beneficial. Techpratham suggests completing DP-900 for fundamentals before attempting DP-203.

How long is the DP-203 certification valid?

The DP-203 certification is valid for one year and can be renewed online. Renewal involves a free Microsoft assessment. Techpratham emphasizes that keeping up with Azure data updates is necessary for long-term success.

How much does the DP-203 exam cost?

The exam cost is usually $165 USD, but it varies across regions. Discounts may apply to students and organizations. Techpratham advises checking Microsoft’s official page for the latest regional pricing.

What is the format of the DP-203 exam?

The exam includes multiple-choice, case studies, drag-and-drop, and scenario-based labs. It evaluates both theory and practical data engineering tasks. Techpratham explains that practicing end-to-end pipelines in Azure helps greatly.

How should I prepare for the DP-203 exam?

Preparation should include Microsoft Learn modules, practice exams, and hands-on labs. Working with Synapse, Data Factory, and Databricks pipelines builds strong confidence. Techpratham recommends focusing on both design and implementation aspects.

What job roles can I get after DP-203 certification?

This certification opens roles like Data Engineer, Database Developer, and Big Data Specialist. It also supports career growth into analytics and AI-driven projects. Techpratham points out that certified data engineers are in high demand worldwide.

Is DP-203 considered difficult?

The exam is moderately challenging due to its focus on real-world data solutions. With consistent lab practice and project experience, it becomes manageable. Techpratham stresses that hands-on exposure to Azure data services is the key to success.

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