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Exam Number : DP-203
Exam Name : Data Engineering on Microsoft Azure
Vendor Name : Microsoft
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DP-203 Exam Format | DP-203 Course Contents | DP-203 Course Outline | DP-203 Exam Syllabus | DP-203 Exam Objectives


Test Detail:

The DP-203 exam, Data Engineering on Microsoft Azure, is designed to validate the skills and knowledge of data engineers working with Azure technologies for data storage, processing, and analytics. The exam assesses candidates' abilities to design and implement data solutions using various Azure services and tools.



Course Outline:

The course for DP-203 certification covers a wide range of topics related to data engineering on Microsoft Azure. The following is a general outline of the key areas covered:



1. Introduction to Data Engineering on Azure:

- Understanding the role of a data engineer in Azure environments.

- Overview of Azure data services and their capabilities.

- Familiarization with data engineering concepts and best practices.



2. Data Storage and Processing:

- Azure data storage options, including Azure Storage, Azure Data Lake Storage, and Azure SQL Database.

- Implementing data ingestion and transformation using Azure Data Factory.

- Introduction to big data processing with Azure Databricks and HDInsight.



3. Data Orchestration and Integration:

- Implementing data orchestration workflows with Azure Logic Apps.

- Integration of data from various sources using Azure Synapse Pipelines.

- Familiarization with Azure Event Grid and Azure Service Bus for event-driven data processing.



4. Data Governance and Security:

- Implementing data security and compliance measures in Azure.

- Configuring access controls and encryption for data at rest and in transit.

- Understanding data privacy, governance, and auditing in Azure.



5. Data Analytics and Visualization:

- Introduction to Azure Synapse Analytics for data warehousing and analytics.

- Implementing data analytics solutions using Azure Analysis Services and Azure Power BI.

- Familiarization with Azure Machine Learning for predictive analytics and machine learning models.



Exam Objectives:

The DP-203 exam evaluates the candidate's knowledge and skills in the following key areas:



1. Designing and implementing data storage solutions on Azure.

2. Implementing data integration and orchestration workflows.

3. Configuring and managing data security and compliance measures.

4. Implementing data processing and analytics solutions.

5. Monitoring, troubleshooting, and optimizing data solutions on Azure.



Exam Syllabus:

The exam syllabus for DP-203 provides a detailed breakdown of the topics covered in each exam objective. It includes specific tasks, tools, and concepts that candidates should be proficient in. The syllabus may cover the following areas:



- Designing and implementing Azure data storage solutions

- Data ingestion, transformation, and orchestration using Azure Data Factory

- Data security, privacy, and compliance measures on Azure

- Configuring and optimizing data processing workflows

- Implementing data analytics and visualization solutions



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Microsoft exam contents



DP-203 PDF Questions and Answers

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The DP-203 exam, also known as "Data Engineering on Microsoft Azure," is a certification exam offered by Microsoft that focuses on assessing the knowledge and skills of candidates in designing, implementing, and managing data engineering solutions on the Microsoft Azure cloud platform. This exam is designed for data engineers, data architects, and other IT professionals who work with data solutions and want to demonstrate their expertise in using Azure technologies for data engineering.

The DP-203 exam covers a wide range of topics related to data engineering on Azure, including designing data storage solutions, implementing data integration and data processing solutions, managing data security and compliance, and optimizing data performance and scalability. Candidates are expected to have a deep understanding of various Azure data services, including Azure SQL Database, Azure Cosmos DB, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, among others.

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Killexams.com updates DP-203 Exam Questions on regular basis to keep the Questions and Answers 100% valid and accurate. Data Engineering on Microsoft Azure Practice Test provided by killexams cover all the questions that you will face in your Actual Test. It covers the latest syllabus and topics that are used in Real Test. Objective of these test questions is to improve your knowledge and help you pass DP-203 exam in your first attempt.

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Our DP-203 Exam PDF contains Complete Pool of Questions and verified Answers including references and explanations (where applicable). Our objective to assemble these questions and answers in DP-203 Dumps / braindumps PDF format is to provide authentic question bank to candidates who want to prepare themselves for exam in shortest possible time.

One of the key areas covered in the DP-203 exam is designing data storage solutions. Candidates should be proficient in designing data storage solutions using Azure data services, such as designing and implementing relational and non-relational databases, data lakes, and data warehouses. They should also have a solid understanding of data modeling, indexing, partitioning, and data partitioning strategies for optimizing data storage and retrieval performance.

Another important area covered in the DP-203 exam is implementing data integration and data processing solutions. Candidates should be knowledgeable about various data integration and data processing technologies on Azure, including Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Logic Apps, among others. They should be proficient in designing and implementing data pipelines, data transformations, and data processing workflows using these technologies.

The DP-203 exam also covers topics related to managing data security and compliance on Azure. Candidates should be familiar with various data security and compliance measures, such as implementing data encryption, managing authentication and authorization, auditing data access, and configuring data masking and data classification. They should also be knowledgeable about Azure data security and compliance features, such as Azure Private Link, Azure Firewall, and Azure AD (Azure Active Directory) integration.

In addition, the DP-203 exam assesses candidates' knowledge and skills in optimizing data performance and scalability on Azure. Candidates should be proficient in designing and implementing data performance optimization techniques, such as data caching, indexing, and materialized views. They should also be knowledgeable about data scalability strategies, such as horizontal partitioning, vertical partitioning, and sharding, for handling large-scale data processing scenarios.

You can download 100% free PDF to try before you register for Premium DP-203 Files. To ace this exam, all you have to do is download premium DP-203 PDF Exam Questions File, memorize the Questions and Answers, Practice with our VCE Exam Simulator and you will be ready for Real Test.

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Finally, the DP-203 exam covers topics related to data governance and data lifecycle management on Azure. Candidates should be familiar with best practices for data governance, data cataloging, data lineage, and data retention policies on Azure. They should also be knowledgeable about data lifecycle management techniques, such as data archiving, data purging, and data versioning, for managing data throughout its lifecycle. In summary, the DP-203 Data Engineering on Microsoft Azure exam is a comprehensive certification exam that validates the data engineering skills of candidates on the Azure cloud platform. It covers various areas, including designing data storage solutions, implementing data integration and data processing solutions, managing data security and compliance, optimizing data performance and scalability, and data governance and data lifecycle management. Successful completion of the DP-203 exam demonstrates a candidate's expertise in data engineering on Azure and enhances their credibility as a data professional.


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