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Microsoft DP-203 Exam is an excellent opportunity for professionals to showcase their skills in data engineering on Microsoft Azure. Data Engineering on Microsoft Azure certification helps candidates to stand out in the job market and opens up new opportunities for career growth. It also validates the candidate's expertise in designing and implementing data solutions on Azure.

Microsoft DP-203 (Data Engineering on Microsoft Azure) certification exam is designed for professionals who want to validate their skills in designing and implementing data solutions on Microsoft Azure. Data Engineering on Microsoft Azure certification exam measures your ability to work with different Azure data services like Azure Data Factory, Azure Stream Analytics, Azure Databricks, and more. As a data engineer, you will learn how to use these tools to transform raw data into meaningful insights that can help organizations make better decisions.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q204-Q209):

NEW QUESTION # 204
You are designing an Azure Synapse Analytics dedicated SQL pool.
Groups will have access to sensitive data in the pool as shown in the following table.

You have policies for the sensitive dat
a. The policies vary be region as shown in the following table.

You have a table of patients for each region. The tables contain the following potentially sensitive columns.

You are designing dynamic data masking to maintain compliance.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview

NEW QUESTION # 205
You have an Azure subscription that contains an Azure Synapse Analytics workspace named workspace1.
Workspace1 contains a dedicated SQL pool named SQL Pool and an Apache Spark pool named sparkpool.
Sparkpool1 contains a DataFrame named pyspark.df.
You need to write the contents of pyspark_df to a tabte in SQLPooM by using a PySpark notebook.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

NEW QUESTION # 206
You have an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 contains a fact table named Tablet. Table1 contains sales data. Sixty-five million rows of data are added to Table1 monthly.
At the end of each month, you need to remove data that is older than 36 months. The solution must minimize how long it takes to remove the data.
How should you partition Table1, and how should you remove the old data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 207
You have two fact tables named Flight and Weather. Queries targeting the tables will be based on the join between the following columns.

You need to recommend a solution that maximum query performance.
What should you include in the recommendation?

A. In each table, create a column as a composite of the other two columns in the table.
B. In each table, create an IDENTITY column.
C. In the tables, use a hash distribution of ArriveDateTime and ReportDateTime.
D. In the tables, use a hash distribution of ArriveAirPortID and AirportID.

Answer: D

NEW QUESTION # 208
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 session window that uses a timeout size of 10 seconds.
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
Instead use a tumbling window. Tumbling windows are a series of fixed-sized, non-overlapping and contiguous time intervals.
Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/tumbling-window-azure-stream-analytics

NEW QUESTION # 209
......

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