DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You are monitoring an Azure Data Factory pipeline that copies data from an Azure SQL Database to an Azure Data Lake Storage Gen2 account. The pipeline runs hourly. You notice that the copy activity sometimes takes much longer than expected. You need to identify the cause of the performance variability. Which action should you take first?
⚠ Common exam trap
The trap here is jumping to scaling resources without first collecting diagnostic data to understand the root cause of the performance issue.
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
✓
Enable Azure Monitor diagnostic settings for the Data Factory and analyze the Copy activity duration metrics in Azure Monitor Logs.
To diagnose performance variability in an Azure Data Factory copy activity, you need detailed telemetry. Enabling diagnostic settings and analyzing metrics and logs in Azure Monitor provides insights into activity duration, data read/written, and errors. This data helps pinpoint whether the issue is due to source throttling, network latency, or other factors.
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 Azure Monitor diagnostic settings for the Data Factory and analyze the Copy activity duration metrics in Azure Monitor Logs.
Why this is correct
Azure Monitor diagnostic settings can send Data Factory logs and metrics to a Log Analytics workspace, where you can query Copy activity duration and identify patterns or spikes. This provides the detailed telemetry needed to diagnose performance variability. It is the most direct and appropriate first step for monitoring and troubleshooting.
- ✗
Configure a self-hosted integration runtime on a virtual machine with more memory and CPU.
Why it's wrong here
The self-hosted integration runtime is used for on-premises or private network sources. Since the source is Azure SQL Database, the default Azure integration runtime is used. Adding a self-hosted IR would not address the variability and would add unnecessary complexity and cost.
- ✗
Increase the Data Integration Units (DIUs) for the copy activity to the maximum allowed.
Why it's wrong here
Increasing DIUs can improve throughput, but it does not help identify the cause of variability. Blindly maximizing DIUs may increase cost without resolving the underlying issue, such as throttling or source contention. You should first diagnose the problem before changing performance settings.
- ✗
Enable Azure SQL Database Auditing and review the audit logs for long-running queries.
Why it's wrong here
Auditing captures security-related events, not performance metrics. While it may show query activity, it does not provide the detailed copy activity telemetry needed to diagnose variability in Data Factory. The focus should be on Data Factory monitoring, not database auditing.
Go deeper
Related to this question
Learn chapter
Optimize Data Storage Performance
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
Key term
Data Transformation Pipelines
Data transformation pipelines are automated sequences of steps that take raw data from a source, clean and reshape it into a usable format, and then load it into a destination for analysis or storage.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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.