- A
The source table is being updated between pipeline runs, but the copy activity is not configured to upsert.
Why wrong: Upsert would still copy rows; 0 rows copied suggests no new data.
- B
The source query includes a 'WHERE' clause that filters out all rows on alternate runs.
Why wrong: The read count is 1M every time, so no filter is excluding rows.
- C
The pipeline is using a full load each time, overwriting the sink, so the second run sees the same data and skips because the sink already has it.
If the pipeline is set to overwrite, the first run copies all rows. The second run reads all rows but the sink already has them; with overwrite, it may still copy, but if using merge or upsert, it might skip. The 0 rows suggests a merge/upsert mode that identifies no new rows.
- D
The sink is a file system that fails to write due to permission issues.
Why wrong: The status is 'Succeeded', so no write failure.
Why ADF Copy Activity Copies Zero Rows Despite Reading Millions
This DP-203 practice question tests your understanding of design and develop data processing. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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. A data engineer notices that the copy activity sometimes copies 0 rows despite reading 1 million rows. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
The pipeline is using a full load each time, overwriting the sink, so the second run sees the same data and skips because the sink already has it.
In Azure Data Factory, the copy activity reads all rows from the source (1 million rows). However, if the pipeline uses a full load strategy but the sink is configured with upsert or merge logic (e.g., using key columns to detect changes), it will only write rows that are new. Since no new rows exist in the second run, 0 rows are written despite the source being fully read. This matches the scenario where the sink already contains the data from the previous run, and the copy activity skips existing rows.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The source table is being updated between pipeline runs, but the copy activity is not configured to upsert.
Why it's wrong here
Upsert would still copy rows; 0 rows copied suggests no new data.
- ✗
The source query includes a 'WHERE' clause that filters out all rows on alternate runs.
Why it's wrong here
The read count is 1M every time, so no filter is excluding rows.
- ✓
The pipeline is using a full load each time, overwriting the sink, so the second run sees the same data and skips because the sink already has it.
Why this is correct
If the pipeline is set to overwrite, the first run copies all rows. The second run reads all rows but the sink already has them; with overwrite, it may still copy, but if using merge or upsert, it might skip. The 0 rows suggests a merge/upsert mode that identifies no new rows.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The sink is a file system that fails to write due to permission issues.
Why it's wrong here
The status is 'Succeeded', so no write failure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Design and develop data processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and develop data processing — This question tests Design and develop data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The pipeline is using a full load each time, overwriting the sink, so the second run sees the same data and skips because the sink already has it. — In Azure Data Factory, the copy activity reads all rows from the source (1 million rows). However, if the pipeline uses a full load strategy but the sink is configured with upsert or merge logic (e.g., using key columns to detect changes), it will only write rows that are new. Since no new rows exist in the second run, 0 rows are written despite the source being fully read. This matches the scenario where the sink already contains the data from the previous run, and the copy activity skips existing rows.
What should I do if I get this DP-203 question wrong?
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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