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Exam Name: Data Engineering on Microsoft Azure
Certification Name: Azure Data Engineer Associate
Exam Code: DP-203 Dumps PDF
Total Questions: 355
Updates: Three Months Free Updates
Guarantee: 100% Passing Assurance

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Introducing DP-203 Microsoft Azure Data Engineer Certification Exam:

DP-203 is a Microsoft Certification Exam that tests candidates for their knowledge and skills in designing and implementing data solutions in Azure. It is for data engineers responsible for building analytics solutions.

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Exam DP-203; Learning the Essentials of Microsoft Azure Data Engineer:

The DP-203 exam consists of 40-60 multiple-choice and multiple-answer questions. The exam is timed for 180 minutes. The exam is available in multiple languages, i.e., English, Japanese, Korean, and Simplified Chinese.

To register for the DP-203 exam, visit the Microsoft website. There, create an account and sign in to schedule your exam. The cost of the exam is $165.

The DP-203 exam consists of the following subject areas according to the given percentage:

  •  Design and implement data storage (15–20%)
    ●    Develop data processing (40–45%)
    ●    Secure, monitor, and optimize data storage and data processing (30–35%)

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Check Our Recently Added DP-203 Practice Exam Questions

Question #1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are designing an Azure Stream Analytics solution that will analyze Twitter data.

You need to count the tweets in each 10-second window. The solution must ensure that each tweet is counted only once.

Solution: You use a tumbling window, and you set the window size to 10 seconds.

Does this meet the goal?
  • A. Yes
  • B. No
Correct Answer(s):

A. Yes

Question #2

You are designing the folder structure for an Azure Data Lake Storage Gen2 account.
You identify the following usage patterns:
• Users will query data by using Azure Synapse Analytics serverless SQL pools and Azure
Synapse Analytics serverless Apache Spark pods.
• Most queries will include a filter on the current year or week.
• Data will be secured by data source.
You need to recommend a folder structure that meets the following requirements:
• Supports the usage patterns
• Simplifies folder security
• Minimizes query times
Which folder structure should you recommend?

  • A.

    Option A

  • B.

    Option B

  • C.

    Option C

  • D.

    Option D

  • E.

    Option E

Correct Answer(s):

D. <p>Option D<br /><br /></p>

Question #3

You have an Azure Databricks resource.
You need to log actions that relate to changes in compute for the Databricks resource.
Which Databricks services should you log?

  • A.

    clusters

  • B.

    workspace

  • C.

    DBFS

  • D.

    SSH

  • E.

    lobs

Correct Answer(s):

B. <p>workspace<br /><br /></p>

Question #4

You have an Azure Data lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a
data warehouse in Azure Synapse Analytics.
Solution You use an Azure Data Factory schedule trigger to execute a pipeline that
executes an Azure Databricks notebook, and then inserts the data into the data warehouse
Dow this meet the goal?

  • A.

    Yes

  • B.

    No

Correct Answer(s):

A. <p>Yes<br /><br /></p>

Question #5

You need to implement a Type 3 slowly changing dimension (SCD) for product category
data in an Azure Synapse Analytics dedicated SQL pool.
You have a table that was created by using the following Transact-SQL statement.

Which two columns should you add to the table? Each correct answer presents part of the
solution.
NOTE: Each correct selection is worth one point.

  • A.

    [EffectiveScarcDate] [datetime] NOT NULL,

  • B.

    [CurrentProduccCacegory] [nvarchar] (100) NOT NULL,

  • C.

    [EffectiveEndDace] [dacecime] NULL,

  • D.

    [ProductCategory] [nvarchar] (100) NOT NULL,

  • E.

    [OriginalProduccCacegory] [nvarchar] (100) NOT NULL,

Correct Answer(s):

B. <p>[CurrentProduccCacegory] [nvarchar] (100) NOT NULL,<br /><br /></p>

E. <p>[OriginalProduccCacegory] [nvarchar] (100) NOT NULL,</p>