This DP-203 practice question tests your understanding of develop data processing. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Refer to the exhibit. You have an Azure Data Factory pipeline that copies data from a CSV file in Blob Storage to a Synapse dedicated SQL pool table named dbo.Sales. The pipeline fails. The error message indicates that the 'Amount' column in the sink table does not allow NULLs but the source contains NULL values. What is the best way to resolve this issue without losing data?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a Mapping Data Flow with a Derived Column transformation to replace NULLs with 0
Option D is correct: Adding a derived column transformation in a Mapping Data Flow allows you to replace NULLs with a default value. Option A is wrong because it changes the sink schema which may not be allowed. Option B is wrong because filtering out rows with NULLs would lose data. Option C is wrong because setting the column to allow NULLs might not be permitted and could impact downstream processes.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Use a Mapping Data Flow with a Derived Column transformation to replace NULLs with 0
Why this is correct
Mapping Data Flow allows you to handle NULLs by providing a default value, ensuring data integrity.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Standard ACLs match source addresses.
✗
Add a filter in the copy activity to exclude rows with NULL Amount
Why it's wrong here
Filtering would lose data, which is not ideal.
✗
Modify the sink table to have a default value for the Amount column
Why it's wrong here
Setting a default value does not help if the source provides NULLs; the copy activity would still fail.
✗
Change the sink table column to allow NULLs
Why it's wrong here
This may not be permitted due to business requirements and could cause issues later.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
Standard ACLs match source addresses.
Extended ACLs can match source, destination, protocol and ports.
The first matching ACL entry is used.
There is usually an implicit deny at the end.
TExam Day Tips
→Check inbound versus outbound direction.
→Read the ACL from top to bottom.
→Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DP-203 ACL questions on filtering logic and placement.
Develop data processing — This question tests Develop data processing — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Use a Mapping Data Flow with a Derived Column transformation to replace NULLs with 0 — Option D is correct: Adding a derived column transformation in a Mapping Data Flow allows you to replace NULLs with a default value. Option A is wrong because it changes the sink schema which may not be allowed. Option B is wrong because filtering out rows with NULLs would lose data. Option C is wrong because setting the column to allow NULLs might not be permitted and could impact downstream processes.
What should I do if I get this DP-203 question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DP-203 ACL questions on filtering logic and placement.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Standard ACLs match source addresses.
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