Databricks-DA-Assoc Executing Queries with Databricks SQL Practice Question
An analyst is writing a query in the Databricks SQL editor and needs to reference a temporary view that was created earlier in the same interactive session. How are temporary views scoped within Databricks SQL environments?
⚠ Common exam trap
Candidates often confuse temporary views with global temporary views or permanent tables, expecting them to persist across different interactive sessions or user disconnects.
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
✓
They are scoped strictly to the current interactive session and drop automatically upon disconnection.
Temporary views in Databricks are scoped to the specific session or notebook in which they are defined. They disappear automatically once the session terminates, ensuring temporary scratchpads do not pollute global catalog namespaces while allowing complex multi-step queries within a single workflow.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
They are globally visible to all users across the entire Databricks workspace indefinitely.
Why it's wrong here
Temporary views are scoped to the session or notebook that created them and vanish when it ends, so other users cannot see them. It is tempting because workspace-wide sharing is convenient, but that describes persistent views or tables, not session-scoped temporary objects.
- ✗
They persist permanently inside the default Hive metastore schema until manually dropped by an admin.
Why it's wrong here
Temporary views are not stored in the Hive metastore; they exist only for the creating session and disappear when it terminates. It is tempting because metastore-backed views persist, but that applies to permanent views, not the session-scoped temporary views the analyst needs.
- ✗
They are automatically replicated to all attached SQL warehouses for cross-warehouse analytics.
Why it's wrong here
SQL warehouses do not automatically share ephemeral session state with each other. Because temporary views are tied strictly to the active client connection, another warehouse cannot access a temporary view created in an isolated session.
- ✓
They are scoped strictly to the current interactive session and drop automatically upon disconnection.
Why this is correct
Temporary views in Databricks SQL exist only within the session that created them, so they cannot be referenced by other users or sessions. They vanish automatically when the session disconnects, which is exactly the scoping behaviour the analyst needs when referencing the view later in the same interactive session.
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JA
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.