Secure, monitor, and optimize data storage and data processing →mediumMultiple SelectObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You are using Azure Data Factory to ingest data from a REST API into Azure Synapse Analytics. The API has a rate limit of 100 requests per minute. You need to ensure that the pipeline respects the rate limit and retries on failure. Which two settings should you configure in the copy activity? (Choose two.)
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
✓
Set the 'Throttle' property to limit the number of concurrent connections.
Options C and D are correct. Setting the 'Throttle' property (or 'maxConcurrentConnections') limits the number of concurrent connections to the REST API, which helps respect the rate limit of 100 requests per minute. Setting the 'Retry' property to a value greater than 0 enables the activity to retry on transient failures. Option A is wrong because 'Enable staging' is used for large data transfers or to enable PolyBase, not for rate limiting. Option B is wrong because 'Batch size' controls the number of rows per batch for bulk operations, not the request rate. Option E is wrong because 'Timeout' specifies the maximum duration of the activity, not retry behavior.
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 'Enable staging' to use a staging blob.
Why it's wrong here
Staging is for large data transfers and does not affect API rate limits.
- ✗
Configure the 'Batch size' to 100.
Why it's wrong here
Batch size controls the number of rows per batch in bulk operations, not request rate.
- ✓
Set the 'Throttle' property to limit the number of concurrent connections.
Why this is correct
Throttling concurrent connections helps stay within the rate limit.
- ✓
Set the 'Retry' property to a value greater than 0.
Why this is correct
Retry allows the activity to attempt again on failure, which is useful for transient rate limit errors.
- ✗
Increase the 'Timeout' value to 10 minutes.
Why it's wrong here
Timeout sets the maximum duration for the activity; it does not handle rate limiting.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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