The correct answer is to configure alerts in Azure Monitor based on pipeline run duration. This works because Azure Data Factory emits pipeline run duration as a metric to Azure Monitor, where you can set an alert rule that triggers when the duration exceeds a defined threshold, such as 60 minutes. When the downstream database slows down, the pipeline takes longer to complete, and the alert fires proactively, notifying your team before a timeout failure occurs. On the DP-900 exam, this tests your understanding of how Azure Monitor integrates with Azure Data Factory for operational monitoring, often appearing in scenario-based questions about detecting performance degradation. A common trap is to confuse Azure Data Factory’s native monitoring with Azure Monitor alerts—remember that ADF shows run history, but only Azure Monitor can send proactive notifications. Memory tip: think “Duration triggers Alert” to link the metric to the action.
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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.
Your company has a data pipeline in Azure Data Factory that runs daily. Recently, the pipeline started failing with timeouts. You suspect a downstream database is slow. What should you do to monitor and alert on pipeline run duration?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure alerts in Azure Monitor based on pipeline run duration
Option A is correct because Azure Monitor can be configured to create alerts based on metrics such as pipeline run duration. When the duration exceeds a threshold, an alert triggers, allowing proactive notification of slow downstream databases. This directly addresses the need to monitor and alert on pipeline performance issues.
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.
✓
Configure alerts in Azure Monitor based on pipeline run duration
Why this is correct
Azure Monitor collects metrics and can trigger alerts when thresholds are exceeded.
Related concept
Read the scenario before looking for a memorised answer.
✗
Query the pipeline runs in Log Analytics
Why it's wrong here
Log Analytics can query logs but alerts are set in Azure Monitor.
✗
Check Azure Service Health for issues
Why it's wrong here
Service Health reports Azure platform issues, not custom pipeline metrics.
✗
Use Azure Advisor to check performance recommendations
Why it's wrong here
Advisor gives optimization suggestions, not real-time monitoring.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse reactive troubleshooting tools (like Log Analytics queries) with proactive monitoring and alerting capabilities, or mistakenly think Azure Service Health or Advisor are designed for pipeline-specific performance alerts.
Detailed technical explanation
How to think about this question
Azure Monitor uses metrics like 'PipelineRunDuration' from Azure Data Factory, which can be tracked with a 1-minute granularity. Alerts can be configured with dynamic thresholds that adapt to historical patterns, reducing noise from normal variations. In a real-world scenario, if a downstream database becomes slow due to blocking or resource contention, the pipeline run duration metric will spike, and an alert can be set to trigger when the duration exceeds, for example, 30 minutes, enabling rapid investigation.
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.
TExam Day Tips
→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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure alerts in Azure Monitor based on pipeline run duration — Option A is correct because Azure Monitor can be configured to create alerts based on metrics such as pipeline run duration. When the duration exceeds a threshold, an alert triggers, allowing proactive notification of slow downstream databases. This directly addresses the need to monitor and alert on pipeline performance issues.
What should I do if I get this DP-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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