This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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.
A data engineering team is building a data pipeline to run daily batch loads from an on-premises SQL Server to Azure Synapse Analytics. The pipeline must include data transformation using a visual interface with no coding, and must support schema mapping and data validation. Which THREE Azure services should be used together?
Azure Synapse Analytics
Synapse is the target serving layer for analytics.
Azure Data Factory
ADF provides visual ETL and orchestration.
Azure Databricks
Why wrong: Databricks requires coding; not a visual interface.
Azure Blob Storage
Blob Storage is used as a staging area for data.
Azure Analysis Services
Why wrong: Analysis Services is for semantic modeling after data is loaded.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Synapse Analytics
Azure Synapse Analytics is the correct destination for the pipeline because it is a cloud-based data warehouse that supports high-performance analytics on large-scale data, making it ideal for daily batch loads from SQL Server. It integrates natively with Azure Data Factory for orchestration and Azure Blob Storage for staging, enabling schema mapping and data validation through visual interfaces without coding.
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.
Azure Synapse Analytics
Why this is correct
Synapse is the target serving layer for analytics.
Related concept
Read the scenario before looking for a memorised answer.
Azure Data Factory
Why this is correct
ADF provides visual ETL and orchestration.
Related concept
Read the scenario before looking for a memorised answer.
Azure Databricks
Why it's wrong here
Databricks requires coding; not a visual interface.
Azure Blob Storage
Why this is correct
Blob Storage is used as a staging area for data.
Related concept
Read the scenario before looking for a memorised answer.
Azure Analysis Services
Why it's wrong here
Analysis Services is for semantic modeling after data is loaded.
Common exam traps
The trap here is that candidates often assume Azure Databricks is required for transformations, but the question explicitly requires a visual interface with no coding, which Azure Data Factory's Mapping Data Flows provide, not Databricks' notebook-based approach.
Detailed technical explanation
Azure Data Factory's Mapping Data Flows provide a visual, code-free interface for transformations, schema mapping, and data validation using a drag-and-drop canvas that generates Apache Spark code under the hood. Azure Blob Storage acts as a staging area to handle intermediate data, enabling efficient bulk loading into Synapse Analytics via PolyBase or COPY INTO, which supports schema drift and validation rules. This combination ensures the pipeline can handle schema changes and data quality checks without manual intervention.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Synapse Analytics — Azure Synapse Analytics is the correct destination for the pipeline because it is a cloud-based data warehouse that supports high-performance analytics on large-scale data, making it ideal for daily batch loads from SQL Server. It integrates natively with Azure Data Factory for orchestration and Azure Blob Storage for staging, enabling schema mapping and data validation through visual interfaces without coding.
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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