Secure, monitor, and optimize data storage and data processing →mediumMultiple ChoiceObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your company uses Azure Data Factory to orchestrate data movement. You need to monitor pipeline runs across multiple factories and create a dashboard that shows success and failure rates over the past 30 days. What is the most efficient approach?
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
✓
Configure diagnostic settings for each Data Factory to send logs to a Log Analytics workspace, then create a workbook using KQL queries.
Configuring diagnostic settings for each Data Factory to send logs to a Log Analytics workspace enables querying and visualizing pipeline runs across multiple factories in a single dashboard using Azure Monitor workbooks with KQL queries. Option A is inefficient as it requires viewing each factory individually. Option B is incorrect because Azure Storage Analytics logs storage metrics, not Data Factory pipeline runs. Option D is inefficient because manual aggregation is not scalable.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the Data Factory monitoring UI to view runs for each factory individually.
Why it's wrong here
Efficient? No, because you need to switch between factories, no unified view.
- ✗
Enable Azure Storage Analytics and query the logs stored in a storage account.
Why it's wrong here
Wrong, Azure Storage Analytics is for storage account logs, not Data Factory pipeline runs.
- ✓
Configure diagnostic settings for each Data Factory to send logs to a Log Analytics workspace, then create a workbook using KQL queries.
Why this is correct
Correct, centralizes logs and enables cross-factory monitoring with workbooks.
- ✗
Create alert rules in Azure Monitor for each pipeline failure and aggregate manually.
Why it's wrong here
Not efficient, manual aggregation is cumbersome and not scalable.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.