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Snowflake ARA-C01 Exam With Confidence Using Practice Dumps

Exam Code:
ARA-C01
Exam Name:
SnowPro Advanced: Architect Certification Exam
Vendor:
Questions:
162
Last Updated:
Apr 26, 2025
Exam Status:
Stable
Snowflake ARA-C01

ARA-C01: SnowPro Advanced: Architect Exam 2025 Study Guide Pdf and Test Engine

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SnowPro Advanced: Architect Certification Exam Questions and Answers

Question 1

Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?

A)

B)

C)

D)

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question 2

Assuming all Snowflake accounts are using an Enterprise edition or higher, in which development and testing scenarios would be copying of data be required, and zero-copy cloning not be suitable? (Select TWO).

Options:

A.

Developers create their own datasets to work against transformed versions of the live data.

B.

Production and development run in different databases in the same account, and Developers need to see production-like data but with specific columns masked.

C.

Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region.

D.

Developers create their own copies of a standard test database previously created for them in the development account, for their initial development and unit testing.

E.

The release process requires pre-production testing of changes with data of production scale and complexity. For security reasons, pre-production also runs in the production account.

Question 3

An Architect for a multi-national transportation company has a system that is used to check the weather conditions along vehicle routes. The data is provided to drivers.

The weather information is delivered regularly by a third-party company and this information is generated as JSON structure. Then the data is loaded into Snowflake in a column with a VARIANT data type. This

table is directly queried to deliver the statistics to the drivers with minimum time lapse.

A single entry includes (but is not limited to):

- Weather condition; cloudy, sunny, rainy, etc.

- Degree

- Longitude and latitude

- Timeframe

- Location address

- Wind

The table holds more than 10 years' worth of data in order to deliver the statistics from different years and locations. The amount of data on the table increases every day.

The drivers report that they are not receiving the weather statistics for their locations in time.

What can the Architect do to deliver the statistics to the drivers faster?

Options:

A.

Create an additional table in the schema for longitude and latitude. Determine a regular task to fill this information by extracting it from the JSON dataset.

B.

Add search optimization service on the variant column for longitude and latitude in order to query the information by using specific metadata.

C.

Divide the table into several tables for each year by using the timeframe information from the JSON dataset in order to process the queries in parallel.

D.

Divide the table into several tables for each location by using the location address information from the JSON dataset in order to process the queries in parallel.