ARA-R01 Exam Dumps : SnowPro Advanced: Architect Recertification Exam

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.

1. Create a share.

2. Add objects to the share.

3. Add a consumer account to the share for the vendor to access.

1. Create a share.

2. Create a reader account for the vendor to use.

3. Add the reader account to the share.

1. Create a new role called db_share.

2. Grant the db_share role privileges to read data from the company database and schema.

3. Create a user for the vendor.

4. Grant the ds_share role to the vendor's users.

1. Promote an existing database in the company's local account to primary.

2. Replicate the database to Snowflake on Azure in the West-Europe region.

3. Create a share and add objects to the share.

4. Add a consumer account to the share for the vendor to access.

Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The query results will then be cached and ready to respond quickly when the users re-issue the query.

Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The task will be scheduled to align with the users' working hours in order to allow the warehouse cache to be used.

Enable the search optimization service on the table. When the users execute the query, the search optimization service will automatically adjust the query execution plan based on the frequently-used parameters.

Create a dedicated size Large warehouse for this particular set of queries. Create a new role that has USAGE permission on this warehouse and has the appropriate read permissions over the fact and dimension tables. Have users switch to this role and use this warehouse when they want to access this data.