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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:
Dec 15, 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

An Architect is designing a solution that will be used to process changed records in an orders table. Newly-inserted orders must be loaded into the f_orders fact table, which will aggregate all the orders by multiple dimensions (time, region, channel, etc.). Existing orders can be updated by the sales department within 30 days after the order creation. In case of an order update, the solution must perform two actions:

1. Update the order in the f_0RDERS fact table.

2. Load the changed order data into the special table ORDER _REPAIRS.

This table is used by the Accounting department once a month. If the order has been changed, the Accounting team needs to know the latest details and perform the necessary actions based on the data in the order_repairs table.

What data processing logic design will be the MOST performant?

Options:

A.

Useone stream and one task.

B.

Useone stream and two tasks.

C.

Usetwo streams and one task.

D.

Usetwo streams and two tasks.

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Question 2

What are characteristics of the use of transactions in Snowflake? (Select TWO).

Options:

A.

Explicit transactions can contain DDL, DML, and query statements.

B.

The autocommit setting can be changed inside a stored procedure.

C.

A transaction can be started explicitly by executing a BEGIN WORK statement and ended explicitly by executing a COMMIT WORK statement.

D.

A transaction can be started explicitly by executing a BEGIN TRANSACTION statement and ended explicitly by executing an END TRANSACTION statement.

E.

Explicit transactions should contain only DML statements and query statements. All DDL statements implicitly commit active transactions.

Question 3

The following chart represents the performance of a virtual warehouse over time:

A Data Engineer notices that the warehouse is queueing queries. The warehouse is sizeX-Small, theminimum and maximum cluster counts are set to 1, thescaling policy is set to standard, andauto-suspend is set to 10 minutes.

How can the performance be improved?

Options:

A.

Change the cluster settings.

B.

Increase the size of the warehouse.

C.

Change the scaling policy to economy.

D.

Change auto-suspend to a longer time frame.