- A
Enable diagnostic settings to send pipeline logs to a Log Analytics workspace and create a log search alert.
Why wrong: While this could work, it requires setting up diagnostic settings and log search alerts, which is more complex than using built-in metrics.
- B
Use Azure Service Health alerts to notify when Data Factory is unhealthy.
Why wrong: Service Health alerts are for Azure platform issues, not specific pipeline failures.
- C
Create an alert rule in Azure Monitor using the 'Pipeline failed runs' metric.
Azure Data Factory exposes pipeline run metrics in Azure Monitor, allowing direct alert creation based on failures.
- D
Configure Microsoft Defender XDR to monitor pipeline activities.
Why wrong: Microsoft Defender XDR is for security threat detection, not pipeline operational failures.
Quick Answer
The answer is to create an alert rule in Azure Monitor using the 'Pipeline failed runs' metric. This is the most efficient way to set up alerts for ADF pipeline failures because Azure Monitor directly ingests pipeline run metrics from Data Factory, allowing you to define a condition—such as a failure count greater than zero—and trigger notifications via email, SMS, or webhook without additional configuration. On the Microsoft Azure Data Engineer Associate DP-203 exam, this tests your understanding of monitoring and alerting within the Azure ecosystem, often appearing as a trap where candidates confuse logging with alerting. A common mistake is choosing Azure Log Analytics, which stores logs but cannot send alerts on its own, or Azure Service Health, which only covers platform outages. Remember the memory tip: "Metrics trigger alerts; logs just store the dirt."
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. 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.
You are monitoring an Azure Data Factory pipeline that runs daily to load data from an on-premises SQL Server to Azure Synapse Analytics. The pipeline has been failing intermittently with timeout errors. You need to configure alerts to notify the team when the pipeline fails. What is the most efficient way to achieve this?
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
Create an alert rule in Azure Monitor using the 'Pipeline failed runs' metric.
Option B is correct because Azure Monitor alerts on pipeline run metrics can trigger notifications based on failure conditions. Option A is wrong because Azure Log Analytics itself does not send alerts; it stores logs. Option C is wrong because Azure Service Health alerts are for Azure service issues, not pipeline failures. Option D is wrong because Microsoft Defender XDR is for security, not pipeline monitoring.
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.
- ✗
Enable diagnostic settings to send pipeline logs to a Log Analytics workspace and create a log search alert.
Why it's wrong here
While this could work, it requires setting up diagnostic settings and log search alerts, which is more complex than using built-in metrics.
- ✗
Use Azure Service Health alerts to notify when Data Factory is unhealthy.
Why it's wrong here
Service Health alerts are for Azure platform issues, not specific pipeline failures.
- ✓
Create an alert rule in Azure Monitor using the 'Pipeline failed runs' metric.
Why this is correct
Azure Data Factory exposes pipeline run metrics in Azure Monitor, allowing direct alert creation based on failures.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure Microsoft Defender XDR to monitor pipeline activities.
Why it's wrong here
Microsoft Defender XDR is for security threat detection, not pipeline operational failures.
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: Create an alert rule in Azure Monitor using the 'Pipeline failed runs' metric. — Option B is correct because Azure Monitor alerts on pipeline run metrics can trigger notifications based on failure conditions. Option A is wrong because Azure Log Analytics itself does not send alerts; it stores logs. Option C is wrong because Azure Service Health alerts are for Azure service issues, not pipeline failures. Option D is wrong because Microsoft Defender XDR is for security, not pipeline monitoring.
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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