A company runs a daily sales report that aggregates millions of rows by product and region. The report query takes several minutes to run. The underlying data changes only once a day. The team wants to reduce the time it takes to generate the report. What is the most effective approach?

Use the SEARCH OPTIMIZATION SERVICE on the region column.

Create a materialized view that pre-aggregates the data by product and region.

Increase the warehouse size to a 2XL.

Add a clustering key on the product column.

What is the purpose of workload management in Snowflake?

To isolate different types of workloads and ensure that they do not compete for the same resources.

To automatically rewrite queries to be more efficient.

To enforce data retention policies.

To control user access to data.

A large fact table is frequently queried with filters on the ORDER_DATE column and the CUSTOMER_ID column. The table currently has no clustering key, and queries that filter on ORDER_DATE scan many micro-partitions. The team wants to improve pruning for these queries. What should they do?

Create a materialized view on the table.

Define a composite clustering key on (ORDER_DATE, CUSTOMER_ID).

Define a clustering key on CUSTOMER_ID only.

Define a clustering key on ORDER_DATE only.

SnowflakeSnowPro Advanced — Architect

Domain 4Objective 1

Optimize Warehouse and Query Performance ARA-C01 Practice Questions (Page 1)

Part of the Performance Optimization domain, which accounts for 24% of the ARA-C01 exam.

34questions here

7free pages

13concepts

24%of the exam

Questions 1–5

1foundation · easy
A performance analyst wants to see the execution plan of a query to understand how Snowflake will execute it. Which command should they use?
Select an answer first
2application · medium
A company runs a daily sales report that aggregates millions of rows by product and region. The report query takes several minutes to run. The underlying data changes only once a day. The team wants to reduce the time it takes to generate the report. What is the most effective approach?
Select an answer first
3foundation · easy
What is the purpose of workload management in Snowflake?
Select an answer first
4application · medium
A large fact table is frequently queried with filters on the ORDER_DATE column and the CUSTOMER_ID column. The table currently has no clustering key, and queries that filter on ORDER_DATE scan many micro-partitions. The team wants to improve pruning for these queries. What should they do?
Select an answer first
5foundation · easy
An organization wants to limit the total compute credits that a warehouse can consume in a month. Which Snowflake feature should they use?
Select an answer first

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Optimize Warehouse and Query Performance ARA-C01 Practice Questions (Page 1)

Questions 1–5

A performance analyst wants to see the execution plan of a query to understand how Snowflake will execute it. Which command should they use?

A company runs a daily sales report that aggregates millions of rows by product and region. The report query takes several minutes to run. The underlying data changes only once a day. The team wants to reduce the time it takes to generate the report. What is the most effective approach?

What is the purpose of workload management in Snowflake?

A large fact table is frequently queried with filters on the ORDER_DATE column and the CUSTOMER_ID column. The table currently has no clustering key, and queries that filter on ORDER_DATE scan many micro-partitions. The team wants to improve pruning for these queries. What should they do?

An organization wants to limit the total compute credits that a warehouse can consume in a month. Which Snowflake feature should they use?

Keep studying — Performance Optimization