Microsoft Azure Data Engineer DP 203

Preface

Microsoft Azure Data Engineer DP 203: Data Engineering on Microsoft Azure is a meticulously structured guide designed to equip data professionals with the expertise required to design, implement, and manage data solutions within the Azure ecosystem. As organizations increasingly rely on data-driven decision-making, the demand for skilled data engineers capable of integrating, transforming, and securing vast amounts of structured and unstructured data has never been higher. This book serves as a comprehensive resource, aligned with the DP-203 certification objectives, covering essential topics such as data storage, processing, security, and optimization. By providing a structured approach to data engineering principles and best practices, this guide ensures that candidates develop a deep understanding of Azure's data services, enabling them to architect scalable, secure, and efficient analytics solutions.

Beyond exam preparation, Microsoft Certification DP-203: Data Engineering on Microsoft Azure emphasizes hands-on learning through practical exercises, real-world scenarios, and self-assessment tools designed to reinforce conceptual knowledge and technical proficiency. Each chapter integrates review questions, online test papers, and expert-led video tutorials to enhance learning and retention. Whether you are a beginner looking to establish a strong foundation in Azure data engineering or an experienced professional aiming to refine your skills and attain certification, this book provides a structured and comprehensive pathway to mastering the core competencies required for success in modern data engineering. We invite you to embark on this journey with us, gaining the knowledge and expertise needed to excel in the ever-evolving world of Azure data engineering.

Table of Contents

Preface

Chapter 1: Practice Questions & Answers Part 1

Chapter 2: Practice Questions & Answers Part 2

Chapter 3: Viva Voce Questions

Chapter 1: Practice Questions & Answers Part 1

QUESTION 1

You need to ensure that the Twitter feed data can be analyzed in the dedicated SQL pool. The solution must meet the customer sentiment analytics requirements.

Which three Transaction-SQL DDL commands should you run in sequence? To answer, move the appropriate commands from the list of commands to the answer

area and arrange them in the correct order.

NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

A. Mastered

B. Not Mastered

Answer: A

QUESTION 2

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.

A. Mastered

B. Not Mastered

Answer: A

QUESTION 3

- (Exam Topic 3)

You have several Azure Data Factory pipelines that contain a mix of the following types of activities.

Wrangling data flow

Notebook

Copy

Jar

Which two Azure services should you use to debug the activities? Each correct answer presents part of the solution NOTE: Each correct selection is worth one

point.

A. Azure HDInsight

B. Azure Databricks

C. Azure Machine Learning

D. Azure Data Factory

E. Azure Synapse Analytics

Answer: CE

QUESTION 4

- (Exam Topic 3)

You have files and folders in Azure Data Lake Storage Gen2 for an Azure Synapse workspace as shown in the following exhibit.

You create an external table named Ext Table that has LOCATION='/top folder/'.

When you query Ext Table by using an Azure Synapse Analytics serverless SQL pool, which files are returned?

A. File2.csv and File3.csv only

B. File1.csv and File4.csv only

C. File1.csv, File2.csv, File3.csv, and File4.csv

D. File1.csv only

Answer: C

QUESTION 5

- (Exam Topic 3)

You are monitoring an Azure Stream Analytics job.

The Backlogged Input Events count has been 20 for the last hour. You need to reduce the Backlogged Input Events count.

What should you do?

A. Drop late arriving events from the job.

B. Add an Azure Storage account to the job.

C. Increase the streaming units for the job.

D. Stop the job.

Answer: C

QUESTION 6

- (Exam Topic 3)

You use Azure Data Factory to prepare data to be queried by Azure Synapse Analytics serverless SQL pools. Files are initially ingested into an Azure Data Lake

Storage Gen2 account as 10 small JSON files. Each file contains the same data attributes and data from a subsidiary of your company.

You need to move the files to a different folder and transform the data to meet the following requirements: Provide the fastest possible query times.

Automatically infer the schema from the underlying files.

How should you configure the Data Factory copy activity? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

A. Mastered

B. Not Mastered

Answer: A

QUESTION 7

- (Exam Topic 3)

You need to schedule an Azure Data Factory pipeline to execute when a new file arrives in an Azure Data Lake Storage Gen2 container.

Which type of trigger should you use?

A. on-demand

B. tumbling window

C. schedule

D. event

Answer: D

QUESTION 8

- (Exam Topic 3)

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

A. data labels

B. column-level security

C.