Which of the following is a common technique used in exploratory data analysis?

Creating histograms to visualize the distribution of a column

Creating a backup of the database

What is the primary use case for Azure Stream Analytics?

Processing and analyzing streaming data in real time

Building machine learning models

Orchestrating data pipelines on a schedule

Storing large volumes of structured data for batch processing

Which of the following is a characteristic of a normalized database schema?

All data is stored in one large table for simplicity

Data is stored in a columnar format for analytics

Data is organized into multiple related tables to avoid duplication

Which of the following is a common reason to split data into separate segments?

To apply different transformation rules to different data categories

To increase the size of the dataset

To make the data more difficult to access

To eliminate the need for data validation

Microsoft Certified:Azure Data Engineer Associate

Domain 2Objective 1

Ingest and Transform Data DP-203 Practice Questions (Page 11)

Part of the Develop data processing domain, which accounts for 40–45% of the DP-203 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~16–29 in this domain), expect 4–7 from this objective — we provide 57 practice questions to prepare you well beyond it. (estimate)

57questions here

12free pages

18concepts

40–45%of the exam

Questions 51–55

51foundation · easy
Which of the following is a common technique used in exploratory data analysis?
Select an answer first
52foundation · easy
What is the primary use case for Azure Stream Analytics?
Select an answer first
53foundation · easy
Which of the following is a characteristic of a normalized database schema?
Select an answer first
54foundation · easy
Which Azure Data Factory feature allows you to visually design data transformations without writing code?
Select an answer first
55foundation · easy
Which of the following is a common reason to split data into separate segments?
Select an answer first

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