Quick Answer
The answer is Notebooks. Notebooks in Microsoft Fabric provide an interactive, web-based environment where data engineers can write and execute Spark code directly, making them the essential component for transforming data using Spark and then persisting the results in Delta Lake format. This capability is central to building a data lakehouse, as it combines the flexibility of Spark transformations with the reliability and performance of Delta Lake’s ACID transactions. On the DP-900 exam, this question tests your understanding of which Fabric tool handles code-driven data transformation versus low-code options like Dataflows or Pipelines. A common trap is confusing Notebooks with Dataflows Gen2, but remember: if the task explicitly requires Spark code for transformation, the answer is always Notebooks. For a quick memory tip, think “Notebooks for Spark code, Dataflows for no-code.”
This DP-900 practice question tests your understanding of describe core data concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Your organization uses Microsoft Fabric to build a data lakehouse. Data engineers need to transform data using Spark and store results in Delta Lake format. Which Fabric component should they use?
Dataflows Gen2
Why wrong: Uses Power Query, not Spark.
Pipelines
Why wrong: Pipelines orchestrate activities, not transform data directly.
Notebooks
Notebooks support Spark and Delta Lake.
Semantic models
Why wrong: Used for analytics, not data transformation.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Notebooks
Notebooks in Microsoft Fabric provide an interactive environment for writing and executing Spark code, which is required for transforming data using Spark. The results can be directly written to Delta Lake format, making Notebooks the correct component for this task.
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.
Dataflows Gen2
Why it's wrong here
Uses Power Query, not Spark.
Pipelines
Why it's wrong here
Pipelines orchestrate activities, not transform data directly.
Notebooks
Why this is correct
Notebooks support Spark and Delta Lake.
Related concept
Read the scenario before looking for a memorised answer.
Semantic models
Why it's wrong here
Used for analytics, not data transformation.
Common exam traps
The trap here is that candidates may confuse Pipelines (which orchestrate activities) with the actual compute engine (Notebooks) that runs Spark transformations, leading them to select Pipelines as the component for executing Spark code.
Detailed technical explanation
Under the hood, Fabric Notebooks leverage Apache Spark pools to execute distributed data transformations, and they natively support Delta Lake via the Delta Lake API, which provides ACID transactions and schema enforcement. A real-world scenario is a data engineer using a Notebook to read raw data from a Lakehouse, apply complex joins and aggregations using PySpark or Scala, and then write the cleaned data back as Delta tables for downstream analytics.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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FAQ
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Notebooks — Notebooks in Microsoft Fabric provide an interactive environment for writing and executing Spark code, which is required for transforming data using Spark. The results can be directly written to Delta Lake format, making Notebooks the correct component for this task.
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
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
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