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Ingest and transform data Questions

Practice questions for Ingest and transform data topic in Microsoft Certified: Fabric Data Engineer Associate. 74 questions covering this domain.

74 questions17 easy41 medium16 hard
Q1
medium

A company wants Fabric to reflect Azure Databricks catalog metadata without physically copying source data into OneLake. Which mirroring approach shou...

Q2
medium

A platform team wants to write its own application's change data into a mirrored database by using a landing zone URL in OneLake. Which mirroring appr...

Q3
medium

What does DeltaFlow add when you use supported CDC connectors in Fabric eventstreams?

Q4
easy

Which Fabric item is designed for T-SQL-first development and supports multi-table transactions?

Q5
hard

A team creates a shortcut under a subdirectory inside the Tables area of a lakehouse and expects it to be recognized as a table. Why will this design ...

Q6
hard

A data movement solution must copy data between two on-premises data sources that use different gateways. What is the documented approach?

Q7
medium

A single Copy activity needs to move data from one on-premises source to one on-premises sink. What gateway limitation applies?

Q8
medium

A shortcut is created inside a KQL database. Which KQL function should engineers use to query it?

Q9
easy

Which workload is explicitly listed as a good fit for an eventhouse?

Q10
medium

Analysts want to query data through the lakehouse SQL analytics endpoint. Which data is directly queryable there?

Q11
hard

An eventstream already applies transformations, and the team needs the transformed stream to feed multiple downstream targets. Which eventstream const...

Q12
hard

A team needs a physical Delta-formatted replica of an Azure SQL Database in OneLake for near real-time analytics and Direct Lake reporting, without bu...

Q13
medium

A pipeline uses workspace staging for a long-running copy job. What should the engineer remember?

Q14
medium

An engineer routes streaming data from an eventstream to a lakehouse destination. How is the data stored?

Q15
easy

What happens if you delete a OneLake shortcut object?

Q16
easy

In a lakehouse, where can you create shortcuts at any level of the hierarchy without table-discovery rules?

Q17
easy

A data engineering team primarily uses Apache Spark and needs one place for structured and unstructured data. Which Fabric item is the better fit?

Q18
medium

Which dataflow Gen2 capability publishes intermediate transformations to a hidden lakehouse to enable reuse and parallelism?

Q19
hard

Which Fabric warehouse syntax is supported for relational constraints?

Q20
medium

A team needs to incrementally copy data from a relational source to a lakehouse using Fabric data pipelines. Which pattern is documented?

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