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All the details of Microsoft DP-203 Exam format?

  • Exam Format: multiple-choice

  • Exam Length: 40-60 question

  • Exam Duration: 130 minutes

  • Passing score: 75%

  • Language: English

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203

Data Engineering on Microsoft Azure Exam Certification Details:

Duration150 mins
Sample QuestionsData Engineering on Microsoft Azure Sample Questions
Exam CodeDP-203
Number of Questions40-60
Exam Price$165 (USD)
Exam NameMicrosoft Certified - Azure Data Engineer Associate
Books / TrainingDP-203T00: Data Engineering on Microsoft Azure
Passing Score700 / 1000
Schedule ExamPearson VUE

Familiarize yourself with the format of the Microsoft DP-203 Exam

Microsoft Data Platform (DP) is an exam for IT professionals who are responsible for designing and implementing data processing solutions that integrate with Microsoft platforms, applications, and services. Candidates prepare for this exam by taking the Microsoft Official Curriculum (MOC) course for the Azure Data Engineering on Microsoft Azure certification. The DP-203 exam tests your ability to design and implement data processing solutions on Azure in a cloud environment. You need to understand how to design and create data services with Azure Data Factory; how to create, manage and deploy data models using the Azure Data Catalog; and how to manage the lifecycle of a data solution using Azure Data Lake Analytics. Microsoft DP-203 Dumps Questions and Answers are prepared by experts and reviewed and approved by Microsoft. The test is based on the latest version of Microsoft Data Platform that includes SQL Server 2016, SQL Database, HDInsight, and Power BI. The questions test both technical skills and business knowledge so you need to have a good understanding of both areas in order to pass the test.

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There is no doubt that the DP-203 certificate on Microsoft Azure will be helpful in showing future employers and clients that you have a good understanding of the Microsoft Azure platform and have a sound knowledge of data management, data processing, and business intelligence. You can use this DP-203 certification to demonstrate your ability to build an enterprise-class data warehousing solution using Microsoft Azure's fully managed services. Microsoft DP-203 Dumps is the best way to ensure that you pass the exam on the first attempt. With these Microsoft DP-203 Practice Tests, you will be able to test your preparation before the real exam. After completing this course, you will be able to: Describe the challenges for data warehousing in the cloud. Understand how cloud storage works with Azure SQL Data Warehouse. Implement a relational database in the cloud using Azure SQL Database Managed Instance. Deploy a highly available and scalable data warehouse using Azure SQL Data Warehouse. External workloads load efficient nodes repartitioning folder selection guides duplicate hierarchy. Loading, archiving, pruning, premises, tabular, defined dimensional purposes. Stream table pipelines distribution handling control region temporal incremental dimensions structure tool. Demo PDF is also available.

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Microsoft DP-203 Korean Exam Syllabus Topics:

SectionWeightObjectives
Design and Implement Data Security10-15%- Implement data security
  • 1. Implement data encryption
  • 2. Configure authentication and authorization
  • 3. Manage sensitive data
Design and Develop Data Processing25-30%- Develop stream processing solutions
  • 1. Implement Azure Stream Analytics
  • 2. Process streaming data with Event Hubs
- Develop batch processing solutions
  • 1. Implement Azure Databricks notebooks
  • 2. Develop Azure Data Factory pipelines
  • 3. Transform data using Apache Spark
Design and Implement Data Storage40-45%- Implement data storage solutions
  • 1. Implement Delta Lake
  • 2. Implement Azure Synapse Analytics storage
  • 3. Implement Azure Data Lake Storage
- Design a data storage structure
  • 1. Design a data warehouse schema
  • 2. Design partitioning strategies
  • 3. Design a lakehouse architecture
Monitor and Optimize Data Storage and Processing10-15%- Optimize performance
  • 1. Optimize query performance
  • 2. Optimize data partitioning and indexing
- Monitor data solutions
  • 1. Monitor pipeline execution
  • 2. Monitor Spark workloads

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