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
You are designing a data pipeline in Azure Data Factory that reads data from an Azure SQL Database and writes to Azure Synapse Analytics dedicated SQL pool. The pipeline will run hourly and process incremental changes. You need to ensure that the pipeline handles retries for transient failures and logs all activities for audit purposes. What should you configure?
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 pipeline logging to an Azure Storage account and set retry policy on copy activity.
Enabling pipeline logging to an Azure Storage account captures all activity for audit purposes, and setting a retry policy on the copy activity handles transient failures. Option A is incorrect because Azure SQL Database and Synapse SQL pool auditing logs database access, not pipeline activity. Option B is incorrect because a tumbling window trigger schedules runs at intervals but does not log activities or handle retries by itself; retries must be configured separately. Option D is incorrect because an Azure Monitor alert notifies on failures but does not log pipeline activities or provide automated retries.
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 auditing on the Azure SQL Database and Azure Synapse SQL pool.
Why it's wrong here
Auditing logs database access, not pipeline activities.
- ✗
Configure a tumbling window trigger to rerun the pipeline on failure.
Why it's wrong here
Trigger reruns but does not log or provide retry within activity.
- ✓
Enable pipeline logging to an Azure Storage account and set retry policy on copy activity.
Why this is correct
Logs capture all events; retry handles transient errors.
- ✗
Use an Azure Monitor alert to notify on failures.
Why it's wrong here
Alerts notify but do not log activities.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
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.
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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.