Azure Data Factory is the correct choice because it is Microsoft’s dedicated cloud ETL data integration service, purpose-built for orchestrating and automating data movement and transformation between on-premises and cloud data stores. As an enterprise-grade ETL/ELT pipeline solution, Azure Data Factory provides over 90 built-in connectors and supports hybrid scenarios through self-hosted integration runtimes, enabling code-free creation of complex data workflows. On the AZ-900 exam, this question tests your understanding of core Azure data services and their specific roles—a common trap is confusing Azure Data Factory with Azure Synapse Analytics, which focuses on analytics rather than orchestrated data integration. Remember that Data Factory is the “pipeline builder” for moving and transforming data, while Synapse is the “analytics engine” for querying it. A helpful memory tip: think of a factory assembly line moving raw materials (data) from one location to another, with built-in tools to transform them along the way.
AZ-900 Describe Azure architecture and services Practice Question
This AZ-900 practice question tests your understanding of describe azure architecture and services. 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.
Which Azure service provides enterprise-grade data integration and ETL/ELT pipelines for moving data between on-premises and cloud data stores?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Data Factory
Azure Data Factory (ADF) is the correct answer because it is a cloud-based ETL/ELT service specifically designed for orchestrating and automating data movement and transformation between on-premises and cloud data stores. It provides over 90 built-in connectors, supports hybrid data integration via self-hosted integration runtimes, and enables code-free pipeline creation for complex data workflows.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Azure Stream Analytics
Why it's wrong here
Stream Analytics processes real-time streaming data — it's not an ETL/ELT service for batch data movement between stores.
✓
Azure Data Factory
Why this is correct
Data Factory is the dedicated ETL/ELT service for orchestrating data movement and transformation between 90+ data sources.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Databricks
Why it's wrong here
Databricks is a Spark analytics platform — while it can do ETL, Data Factory is the dedicated orchestration service.
✗
Azure HDInsight
Why it's wrong here
HDInsight provides managed Hadoop/Spark clusters — not an ETL/ELT pipeline orchestration service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing Azure Data Factory with Azure Databricks or HDInsight, as candidates often associate 'data integration' with big data processing platforms rather than the dedicated orchestration service that handles connectivity, scheduling, and monitoring across heterogeneous sources.
Detailed technical explanation
How to think about this question
Under the hood, Azure Data Factory uses a 'control flow' and 'data flow' architecture: control flow orchestrates activities (e.g., copy, execute pipeline) while mapping data flows allow visual transformation without coding. A real-world scenario is migrating terabytes of on-premises SQL Server data to Azure Synapse Analytics using a self-hosted integration runtime that securely connects via port 443 and Azure Relay, handling schema drift and incremental loads automatically.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-900 question in full detail.
Describe Azure architecture and services — This question tests Describe Azure architecture and services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Data Factory — Azure Data Factory (ADF) is the correct answer because it is a cloud-based ETL/ELT service specifically designed for orchestrating and automating data movement and transformation between on-premises and cloud data stores. It provides over 90 built-in connectors, supports hybrid data integration via self-hosted integration runtimes, and enables code-free pipeline creation for complex data workflows.
What should I do if I get this AZ-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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