Free PDF 2025 Fantastic DP-203: Valid Data Engineering on Microsoft Azure Test Topics

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Microsoft DP-203 Certification Exam is designed for data engineers, data architects, and individuals who are responsible for designing and implementing data solutions on Azure. DP-203 exam measures the candidate's ability to design and implement data storage solutions, data processing solutions, and data security solutions using Azure services. Data Engineering on Microsoft Azure certification is an excellent way to demonstrate your expertise in Azure data engineering and can help you advance your career as a data engineer.

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Microsoft Data Engineering on Microsoft Azure Sample Questions (Q236-Q241):

NEW QUESTION # 236
You are designing a monitoring solution for a fleet of 500 vehicles. Each vehicle has a GPS tracking device that sends data to an Azure event hub once per minute.
You have a CSV file in an Azure Data Lake Storage Gen2 container. The file maintains the expected geographical area in which each vehicle should be.
You need to ensure that when a GPS position is outside the expected area, a message is added to another event hub for processing within 30 seconds. The solution must minimize cost.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

NEW QUESTION # 237
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 # 238
You have an Azure Synapse Analytics dedicated SQL pool that contains a large fact table. The table contains
50 columns and 5 billion rows and is a heap.
Most queries against the table aggregate values from approximately 100 million rows and return only two columns.
You discover that the queries against the fact table are very slow.
Which type of index should you add to provide the fastest query times?

A. nonclustered columnstore
B. clustered
C. clustered columnstore
D. nonclustered

Answer: C

Explanation:
Explanation
Clustered columnstore indexes are one of the most efficient ways you can store your data in dedicated SQL pool.
Columnstore tables won't benefit a query unless the table has more than 60 million rows.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/best-practices-dedicated-sql-pool

NEW QUESTION # 239
You have a Microsoft SQL Server database that uses a third normal form schema.
You plan to migrate the data in the database to a star schema in an Azure Synapse Analytics dedicated SQI pool.
You need to design the dimension tables. The solution must optimize read operations.
What should you include in the solution? to answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Text, table Description automatically generated

Box 1: Denormalize to a second normal form
Denormalization is the process of transforming higher normal forms to lower normal forms via storing the join of higher normal form relations as a base relation. Denormalization increases the performance in data retrieval at cost of bringing update anomalies to a database.
Box 2: New identity columns
The collapsing relations strategy can be used in this step to collapse classification entities into component entities to obtain at dimension tables with single-part keys that connect directly to the fact table. The single-part key is a surrogate key generated to ensure it remains unique over time.
Example:
Diagram Description automatically generated

Note: A surrogate key on a table is a column with a unique identifier for each row. The key is not generated from the table data. Data modelers like to create surrogate keys on their tables when they design data warehouse models. You can use the IDENTITY property to achieve this goal simply and effectively without affecting load performance.
Reference:
https://www.mssqltips.com/sqlservertip/5614/explore-the-role-of-normal-forms-in-dimensional-modeling/
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-identity

NEW QUESTION # 240
In Azure Data Factory, you have a schedule trigger that is scheduled in Pacific Time.
Pacific Time observes daylight saving time.
The trigger has the following JSON file.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 241
......

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Free PDF 2025 Fantastic DP-203: Valid Data Engineering on Microsoft Azure Test Topics

Perfect Valid DP-203 Test Topics & Leading Offer in Qualification Exams & Fantastic Microsoft Data Engineering on Microsoft Azure

Microsoft Data Engineering on Microsoft Azure Sample Questions (Q236-Q241):

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