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

• Warehouse credits are used to pay for the processing time used by each virtual warehouse in Snowflake. A virtual warehouse is a cluster of compute resources that enables executing queries, loading data, and performing other DML operations. Warehouse credits are charged based on the number of virtual warehouses you use, how long they run, and their size1.
• Among the commands listed in the question, the following ones will use warehouse credits:
• The command that will not use warehouse credits is:

References: : Understanding Compute Cost : MAX Function : COUNT Function : GROUP BY Clause : SHOW TABLES

• The correct answer is B and E because they use the correct syntax and values for the identifier function and the session variables.
• The identifier function allows you to use a variable or expression as an identifier (such as a table name or column name) in a SQL statement. It takes a single argument and returns it as an identifier. For example, identifier($tbl_ref) returns EMP_TBL as an identifier.
• The session variables are set using the SET command and can be referenced using the $ sign. For example, $var1 returns Name1 as a value.
• Option A is incorrect because it uses Stbl_ref and Scol_ref, which are not valid session variables or identifiers. They should be $tbl_ref and $col_ref instead.
• Option C is incorrect because it uses identifier, which is not a valid syntax for the identifier function. It should be identifier($tbl_ref) instead.
• Option D is incorrect because it uses Cvarl, var2, and var3, which are not valid session variables or values. They should be $var1, $var2, and $var3 instead. References:
• Snowflake Documentation: Identifier Function
• Snowflake Documentation: Session Variables
• Snowflake Learning: SnowPro Advanced: Architect Exam Study Guide

The best way to meet the requirement of consolidating company B’s sales data into company A’s Snowflake account is to use cross-region data replication within Snowflake. This feature allows data providers to securely share data with data consumers across different regions and cloud platforms. By replicating the sales data from company B’s account in Azure West Europe region to company A’s account in AWS us-east-1 region, the data will be synchronized and available for consumption. To enable data replication, the accounts must be linked and replication must be enabled by a user with the ORGADMIN role. Then, a replication group must be created and the sales database must be added to the group. Finally, a direct share must be configured from company B’s account to company A’s account to grant access to the replicated data. This option is more efficient and secure than exporting and importing data using CSV files or migrating the entire Snowflake deployment to another region or cloud platform. It also does not require building a custom data pipeline using external tools.

References:

• Sharing data securely across regions and cloud platforms
• Introduction to replication and failover
• Replication considerations
• Replicating account objects