Snowflake ARA-R01 Practice Exam Dumps 2025

A Snowflake Architect created a new data share and would like to verify that only specific records in secure views are visible within the data share by the consumers.

What is the recommended way to validate data accessibility by the consumers?

Options:

Create reader accounts as shown below and impersonate the consumers by logging in with their credentials.

create managed account reader_acctl admin_name = userl , adroin_password ■ 'Sdfed43da!44T , type = reader;

Create a row access policy as shown below and assign it to the data share.

create or replace row access policy rap_acct as (acct_id varchar) returns boolean -> case when 'acctl_role' = current_role() then true else false end;

Set the session parameter called SIMULATED_DATA_SHARING_C0NSUMER as shown below in order to impersonate the consumer accounts.

alter session set simulated_data_sharing_consumer - 'Consumer Acctl*

Alter the share settings as shown below, in order to impersonate a specific consumer account.

alter share sales share set accounts = 'Consumerl’ share restrictions = true

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Question 2

Company A has recently acquired company B. The Snowflake deployment for company B is located in the Azure West Europe region.

As part of the integration process, an Architect has been asked to consolidate company B's sales data into company A's Snowflake account which is located in the AWS us-east-1 region.

How can this requirement be met?

Options:

Replicate the sales data from company B's Snowflake account into company A's Snowflake account using cross-region data replication within Snowflake. Configure a direct share from company B's account to company A's account.

Export the sales data from company B's Snowflake account as CSV files, and transfer the files to company A's Snowflake account. Import the data using Snowflake's data loading capabilities.

Migrate company B's Snowflake deployment to the same region as company A's Snowflake deployment, ensuring data locality. Then perform a direct database-to-database merge of the sales data.

Build a custom data pipeline using Azure Data Factory or a similar tool to extract the sales data from company B's Snowflake account. Transform the data, then load it into company A's Snowflake account.