A SQL Warehouse is configured with autoscaling enabled. During a peak period, many analysts submit queries simultaneously. What happens to the warehouse?

The warehouse queues queries until the load decreases, then executes them sequentially.

The warehouse switches to a larger pre-configured cluster size permanently.

The warehouse automatically adds compute resources to handle the increased load, up to the configured maximum.

The warehouse rejects new queries until the current load subsides.

A user runs a query on a SQL Warehouse that has Photon enabled. The query reads a large Parquet file. What is the primary benefit of Photon in this scenario?

It accelerates query execution by using a native vectorized engine.

It caches the query results so future runs are faster.

It compresses the data to reduce storage costs.

It automatically scales the warehouse to handle the query.

A data analyst needs to run a one-off SQL query to explore a new dataset. They do not want to wait for a cluster to start. Which option is the most appropriate?

A Classic SQL Warehouse with a fixed size

DatabricksCertified Data Analyst Associate

Domain 4Objective 2

Explain the Role a SQL Warehouse Plays in Query Execution. DATA-ANALYST-ASSOCIATE Practice Questions (Page 2)

Part of the Section 4: Executing queries using Databricks SQL and Databricks SQL Warehouses domain, which makes up ~22% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–13 in this domain), expect 1–1 from this objective — we provide 23 practice questions to prepare you well beyond it. (estimate)

23questions here

5free pages

6concepts

Questions 6–10

6foundation · easy
Which feature of SQL Warehouses helps speed up repeated queries by storing results in memory?
Select an answer first
7application · medium
A SQL Warehouse is configured with autoscaling enabled. During a peak period, many analysts submit queries simultaneously. What happens to the warehouse?
Select an answer first
8application · medium
A data engineer wants to run a Python notebook that reads from a Delta table and trains a machine learning model. The notebook also contains some SQL cells. Which compute should the engineer use?
Select an answer first
9application · medium
A user runs a query on a SQL Warehouse that has Photon enabled. The query reads a large Parquet file. What is the primary benefit of Photon in this scenario?
Select an answer first
10application · medium
A data analyst needs to run a one-off SQL query to explore a new dataset. They do not want to wait for a cluster to start. Which option is the most appropriate?
Select an answer first

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Explain the Role a SQL Warehouse Plays in Query Execution. DATA-ANALYST-ASSOCIATE Practice Questions (Page 2)

Questions 6–10

Which feature of SQL Warehouses helps speed up repeated queries by storing results in memory?

A SQL Warehouse is configured with autoscaling enabled. During a peak period, many analysts submit queries simultaneously. What happens to the warehouse?

A data engineer wants to run a Python notebook that reads from a Delta table and trains a machine learning model. The notebook also contains some SQL cells. Which compute should the engineer use?

A user runs a query on a SQL Warehouse that has Photon enabled. The query reads a large Parquet file. What is the primary benefit of Photon in this scenario?

A data analyst needs to run a one-off SQL query to explore a new dataset. They do not want to wait for a cluster to start. Which option is the most appropriate?

Keep studying — Section 4: Executing queries using Databricks SQL and Databricks SQL Warehouses