Databricks-DA-Assoc Data Modeling with Databricks SQL Practice Question
A data analyst is creating a view in Databricks SQL that joins a fact table with several dimension tables. The analyst wants to ensure that the view always returns the latest data and that any changes to the underlying tables are immediately reflected. Which type of view should the analyst create?
⚠ Common exam trap
A common mix-up: candidates confuse materialized views with standard views, thinking that a materialized view automatically updates, when it actually requires a refresh to reflect changes.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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A standard view
A standard view is a saved query that executes on demand, so it always reflects the current state of the underlying tables. Materialized views store data and require refreshes, temporary views are session-bound, and streaming views are for continuous processing. Thus, a standard view best meets the need for immediate data visibility and persistence.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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A temporary view
Why it's wrong here
A temporary view is session-scoped and disappears when the session ends. While it also returns current data, it is not persistent and cannot be shared across sessions. The scenario implies a need for a persistent view that multiple users can access, so a temporary view is not appropriate.
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A streaming view
Why it's wrong here
A streaming view is used for streaming queries and processes data incrementally. It is not designed for ad-hoc analytical queries that require the latest snapshot of data. It also requires a streaming source and is not a simple replacement for a standard view in this context.
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A standard view
Why this is correct
A standard view in Databricks SQL is a saved query that runs against the underlying tables each time it is queried. It always returns the current data because it does not store results. Therefore, any changes to the base tables are immediately visible, satisfying the requirement for up-to-date data.
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A materialized view
Why it's wrong here
A materialized view stores precomputed results and must be refreshed to reflect changes in the underlying tables. It does not automatically return the latest data on every query. While it can improve performance, it does not meet the requirement for immediate reflection of changes without a refresh operation.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks 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 Databricks-DA-Assoc exam.