ARA-C01 Exam Dumps : SnowPro Advanced: Architect Certification Exam

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

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

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

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.

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.

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.

3 NF

Star schema

Data Vault

Snowflake schema