How does a SQL Warehouse handle multiple concurrent queries?

It rejects additional queries when busy

It queues queries and executes them sequentially

It executes them in parallel using available compute resources

It requires the user to manually manage concurrency

A company runs a SQL Warehouse with autoscaling enabled (min 2, max 8 clusters). During a peak period, the warehouse reaches 8 clusters and all are busy. New queries are queued. The company wants to reduce the likelihood of queuing during future peaks without significantly increasing cost during normal periods. Which approach is most effective?

Enable Photon to speed up query execution.

Increase the query timeout to allow more time for execution.

Set the minimum cluster size to 8.

Increase the maximum cluster size to 12.

What is a key difference between a SQL Warehouse and an interactive cluster?

SQL Warehouses can only run notebooks, while interactive clusters run SQL queries

SQL Warehouses require manual scaling, while interactive clusters auto-scale

SQL Warehouses are used for ETL, while interactive clusters are used for BI

SQL Warehouses are optimized for SQL queries, while interactive clusters support multiple languages and workloads

A SQL Warehouse is configured with autoscaling from 2 to 6 clusters. During normal hours, the warehouse typically uses 2 clusters. During a monthly reporting peak, the warehouse scales to 6 clusters. What is the primary benefit of this configuration?

It balances cost and performance by scaling resources based on demand.

It provides a fixed amount of compute to ensure predictable performance.

It guarantees that queries will never be queued.

It automatically optimizes the SQL queries for better performance.

A user submits a query to a SQL Warehouse. The query fails with an error. The user checks the query history and sees that the query was submitted but did not execute. What is the most likely cause?

The query was too complex for the warehouse.

The query was not eligible for result caching.

The SQL Warehouse was stopped or paused.

DatabricksCertified Data Analyst Associate

Domain 4Objective 2

Explain the Role a SQL Warehouse Plays in Query Execution. DATA-ANALYST-ASSOCIATE Practice Questions (Page 4)

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 16–20

16foundation · easy
How does a SQL Warehouse handle multiple concurrent queries?
Select an answer first
17expert · hard
A company runs a SQL Warehouse with autoscaling enabled (min 2, max 8 clusters). During a peak period, the warehouse reaches 8 clusters and all are busy. New queries are queued. The company wants to reduce the likelihood of queuing during future peaks without significantly increasing cost during normal periods. Which approach is most effective?
Select an answer first
18foundation · easy
What is a key difference between a SQL Warehouse and an interactive cluster?
Select an answer first
19application · medium
A SQL Warehouse is configured with autoscaling from 2 to 6 clusters. During normal hours, the warehouse typically uses 2 clusters. During a monthly reporting peak, the warehouse scales to 6 clusters. What is the primary benefit of this configuration?
Select an answer first
20expert · hard
A user submits a query to a SQL Warehouse. The query fails with an error. The user checks the query history and sees that the query was submitted but did not execute. What is the most likely cause?
Select an answer first

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