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 DP-203 Dumps with Practice Exam Questions Answers

Questions: 347 questions With Step-by-Step Explanation

Last Update: Dec 12, 2024

DP-203 Question Includes: Single Choice Questions: 175, Multiple Choice Questions: 34, Hotspot: 105, Drag Drop: 33,

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Microsoft DP-203 Practice Exam FAQs

1. What is the Microsoft DP-203 Exam?


The Microsoft DP-203 Exam, also known as “Data Engineering on Microsoft Azure,” is designed to assess your ability to integrate, transform, and consolidate data from various structured and unstructured data systems into a suitable schema for building analytics solutions.

2. What are the key topics covered in the Microsoft DP-203 Exam?


The Microsoft DP-203 exam covers topics such as designing and implementing data storage, developing data processing, securing, monitoring, and optimizing data storage and data processing, and managing data pipelines.

3. Who should take the MIcrosoft DP-203 Exam?


The Microsoft DP-203 Exam is ideal for data engineers who are responsible for data-related tasks such as data integration, transformation, and consolidation, and who use Azure data services to build analytics solutions.

4. What is the format of the Microsoft DP-203 Exam?


The Microsoft DP-203 Exam consists of multiple-choice questions, case studies, and drag-and-drop questions. Candidates have 120 minutes to complete the exam.

5. What is the passing score for the Microsoft DP-203 Exam?


To pass the Microsoft DP-203 Exam, you need to score at least 700 out of 1000.

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Yes, the DP-203 practice questions on Dumpstool are regularly updated to reflect the latest DP-203 exam format and changes. This ensures that you are practicing with the most relevant and up-to-date DP-203 study material for the exam.

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DP-203 Questions and Answers

Question # 1

Which Azure Data Factory components should you recommend using together to import the daily inventory data from the SQL server to Azure Data Lake Storage? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 2

What should you do to improve high availability of the real-time data processing solution?

A.

Deploy identical Azure Stream Analytics jobs to paired regions in Azure.

B.

Deploy a High Concurrency Databricks cluster.

C.

Deploy an Azure Stream Analytics job and use an Azure Automation runbook to check the status of the job and to start the job if it stops.

D.

Set Data Lake Storage to use geo-redundant storage (GRS).

Question # 3

What should you recommend using to secure sensitive customer contact information?

A.

data labels

B.

column-level security

C.

row-level security

D.

Transparent Data Encryption (TDE)

Question # 4

What should you recommend to prevent users outside the Litware on-premises network from accessing the analytical data store?

A.

a server-level virtual network rule

B.

a database-level virtual network rule

C.

a database-level firewall IP rule

D.

a server-level firewall IP rule

Question # 5

You need to implement an Azure Synapse Analytics database object for storing the sales transactions data. The solution must meet the sales transaction dataset requirements.

What solution must meet the sales transaction dataset requirements.

What should you do? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.