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Question 214 - DP-203 discussion

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You are creating an Azure Data Factory data flow that will ingest data from a CSV file, cast columns to specified types of data, and insert the data into a table in an Azure Synapse Analytics dedicated SQL pool. The CSV file contains columns named username, comment and date.

The data flow already contains the following:

• A source transformation

• A Derived Column transformation to set the appropriate types of data

• A sink transformation to land the data in the pool

You need to ensure that the data flow meets the following requirements;

• All valid rows must be written to the destination table.

• Truncation errors in the comment column must be avoided proactively.

• Any rows containing comment values that will cause truncation errors upon insert must be written to a file in blob storage. Which two actions should you perform? Each correct answer presents part of the solution. NOTE:

Each correct selection is worth one point

A.
Add a select transformation that selects only the rows which will cause truncation errors.
Answers
A.
Add a select transformation that selects only the rows which will cause truncation errors.
B.
Add a sink transformation that writes the rows to a file in blob storage.
Answers
B.
Add a sink transformation that writes the rows to a file in blob storage.
C.
Add a filter transformation that filters out rows which will cause truncation errors.
Answers
C.
Add a filter transformation that filters out rows which will cause truncation errors.
D.
Add a Conditional Split transformation that separates the rows which will cause truncation errors.
Answers
D.
Add a Conditional Split transformation that separates the rows which will cause truncation errors.
Suggested answer: B, D
asked 02/10/2024
Zachary Janssen
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