DP-203 Develop data processing Practice Question
You are a data engineer working for a logistics company. You have an existing Azure Data Factory pipeline that ingests data from a REST API to Azure Data Lake Storage Gen2. The API has rate limiting that can cause failures. You need to implement a solution that can handle rate limiting by retrying with exponential backoff. The pipeline should also log the number of retries for each API call. What should you do?
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
✓
Use a Web activity with a Until loop to implement custom retry logic.
Azure Data Factory Copy activity does not support exponential backoff; the retry interval is fixed. Using a Web activity inside an Until loop allows you to implement custom retry logic with exponential backoff by adjusting the wait time dynamically. This also enables logging the number of retries. Option A is incorrect because the Copy activity's retry uses a fixed interval, not exponential backoff. Option C is more complex than necessary. Option D introduces an additional service without leveraging ADF's orchestration capabilities.
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 the Copy activity with retry policy using exponential backoff by setting the retry count and retry interval. Enable diagnostic logs to capture retry details.
Why it's wrong here
Incorrect. The Copy activity's retry policy uses a fixed retry interval, not exponential backoff. It cannot achieve the required exponential backoff behavior.
- ✓
Use a Web activity with a Until loop to implement custom retry logic.
Why this is correct
Correct. Using a Web activity with an Until loop allows you to implement custom retry logic with exponential backoff, and you can log retry counts.
- ✗
Use an Azure Function as a custom activity in Azure Data Factory to implement retry logic with exponential backoff.
Why it's wrong here
Incorrect. While an Azure Function could implement retry logic, it adds unnecessary complexity and is not a native ADF solution compared to using a Web activity with a loop.
- ✗
Use Azure Logic Apps to call the API and then copy the response to Azure Data Lake Storage Gen2.
Why it's wrong here
Incorrect. Azure Logic Apps is a separate service that would add integration complexity without providing a clear advantage over ADF's built-in capabilities for this scenario.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
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.
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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.