Quick Answer
The correct choice is Azure Data Factory with Azure-SSIS Integration Runtime because it enables a true lift and shift of your existing SSIS packages to the cloud with minimal changes. The Azure-SSIS IR provisions a dedicated cluster of Azure VMs running the SSIS engine, allowing you to deploy and execute your current ETL packages without rewriting code or redesigning workflows. On the DP-300 exam, this scenario tests your understanding of migration strategies for legacy integration services, often appearing as a distractor against options like Azure SQL Managed Instance or standalone Azure Data Factory—remember that only the Azure-SSIS IR preserves your existing SSIS catalog and package execution model. A common trap is choosing Azure Data Factory alone, which lacks the native SSIS runtime; the key is that the Integration Runtime is the bridge. Memory tip: think “SSIS needs its own IR” to recall that the Azure-SSIS IR is the dedicated host for your lifted packages.
This DP-300 practice question tests your understanding of plan and implement data platform resources. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You need to migrate an on-premises SQL Server database to Azure SQL Database. The database uses SQL Server Integration Services (SSIS) packages for ETL. You want to continue using SSIS in the cloud with minimal changes. Which Azure service should you use?
Use Azure Data Factory with Azure-SSIS Integration Runtime
Azure-SSIS IR in ADF allows running existing SSIS packages in the cloud.
Deploy SSIS on Azure SQL Database
Why wrong: Azure SQL Database does not support SSIS package execution.
Migrate SSIS packages to Azure Databricks
Why wrong: Databricks is not SSIS-compatible; requires rewriting.
Use Azure SQL Managed Instance to run SSIS
Why wrong: Managed Instance does not include SSIS.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use Azure Data Factory with Azure-SSIS Integration Runtime
Azure Data Factory with Azure-SSIS Integration Runtime is the correct choice because it provides a fully managed service that lifts and shifts existing SSIS packages to the cloud with minimal changes. The Azure-SSIS IR runs a dedicated cluster of Azure VMs that host the SSIS engine, allowing you to deploy, execute, and manage your existing SSIS packages directly in Azure without rewriting code.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use Azure Data Factory with Azure-SSIS Integration Runtime
Why this is correct
Azure-SSIS IR in ADF allows running existing SSIS packages in the cloud.
Related concept
Read the scenario before looking for a memorised answer.
Deploy SSIS on Azure SQL Database
Why it's wrong here
Azure SQL Database does not support SSIS package execution.
Migrate SSIS packages to Azure Databricks
Why it's wrong here
Databricks is not SSIS-compatible; requires rewriting.
Use Azure SQL Managed Instance to run SSIS
Why it's wrong here
Managed Instance does not include SSIS.
Common exam traps
The trap here is confusing Azure SQL Managed Instance with a full SSIS host; candidates often assume Managed Instance runs SSIS natively, but it only supports SQL Server Agent jobs, not the SSIS runtime itself.
Detailed technical explanation
The Azure-SSIS Integration Runtime provisions Windows VMs in a virtual network and installs the SSIS engine, enabling you to use the same SSISDB catalog database hosted in Azure SQL Database or SQL Managed Instance. This setup supports custom configurations, such as installing additional components or using Windows authentication, and allows you to schedule package executions via SQL Server Agent or Data Factory triggers. A real-world scenario is migrating a complex ETL pipeline with third-party connectors; the Azure-SSIS IR preserves those dependencies without code changes.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Plan and implement data platform resources — This question tests Plan and implement data platform resources — Read the scenario before looking for a memorised answer..
The correct answer is: Use Azure Data Factory with Azure-SSIS Integration Runtime — Azure Data Factory with Azure-SSIS Integration Runtime is the correct choice because it provides a fully managed service that lifts and shifts existing SSIS packages to the cloud with minimal changes. The Azure-SSIS IR runs a dedicated cluster of Azure VMs that host the SSIS engine, allowing you to deploy, execute, and manage your existing SSIS packages directly in Azure without rewriting code.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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