- A
Throughput (data read/written per second).
Throughput indicates the speed of data transfer.
- B
Integration runtime CPU utilization.
Why wrong: CPU utilization is not exposed as a metric for Azure Data Factory.
- C
Pipeline run duration.
Why wrong: Pipeline run duration includes orchestration time, not just copy performance.
- D
Copy activity duration.
This directly measures the time taken for the copy operation.
- E
Data read and written metrics.
These show the volume of data being processed.
Quick Answer
The answer is data read and written metrics, copy activity duration, and throughput. These three metrics directly measure the performance of the data movement engine during a Copy activity, revealing where bottlenecks occur—such as slow source reads, throttled sinks, or network latency. On the Microsoft Azure Data Engineer Associate DP-203 exam, this question tests your ability to distinguish between Copy activity–specific metrics and broader pipeline or infrastructure metrics. A common trap is selecting pipeline run duration, which includes orchestration overhead like trigger delays and activity chaining, or integration runtime CPU, which is not a standard Azure Data Factory metric. When you monitor ADF copy activity performance metrics, focus on the three that isolate the copy operation itself: data volume moved, elapsed time for the copy, and the effective transfer rate. Remember the mnemonic “RDT” for Read, Duration, Throughput—these three tell you if your copy is fast or stuck.
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are monitoring the performance of an Azure Data Factory pipeline that uses a Copy activity to load data into Azure Synapse Analytics. Which THREE metrics should you monitor to identify potential performance bottlenecks?
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
Throughput (data read/written per second).
Options A, C, and D are correct. Data read and written, copy activity duration, and throughput are direct indicators. Option B is wrong because pipeline run duration includes orchestration overhead. Option E is wrong because integration runtime CPU is not a standard metric in Azure Data Factory.
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.
- ✓
Throughput (data read/written per second).
Why this is correct
Throughput indicates the speed of data transfer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Integration runtime CPU utilization.
Why it's wrong here
CPU utilization is not exposed as a metric for Azure Data Factory.
- ✗
Pipeline run duration.
Why it's wrong here
Pipeline run duration includes orchestration time, not just copy performance.
- ✓
Copy activity duration.
Why this is correct
This directly measures the time taken for the copy operation.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Data read and written metrics.
Why this is correct
These show the volume of data being processed.
Related concept
Read the scenario before looking for a memorised answer.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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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Secure, monitor, and optimize data storage and data processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Throughput (data read/written per second). — Options A, C, and D are correct. Data read and written, copy activity duration, and throughput are direct indicators. Option B is wrong because pipeline run duration includes orchestration overhead. Option E is wrong because integration runtime CPU is not a standard metric in Azure Data Factory.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 2026
This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.
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