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

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SnowPro Advanced: Architect Recertification Exam Questions and Answers

Question 1

How is the change of local time due to daylight savings time handled in Snowflake tasks? (Choose two.)

Options:

A.

A task scheduled in a UTC-based schedule will have no issues with the time changes.

B.

Task schedules can be designed to follow specified or local time zones to accommodate the time changes.

C.

A task will move to a suspended state during the daylight savings time change.

D.

A frequent task execution schedule like minutes may not cause a problem, but will affect the task history.

E.

A task schedule will follow only the specified time and will fail to handle lost or duplicated hours.

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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 end explicitly by executing a commit work statement.

D.

A transaction can be started explicitly by executing a begin transaction statement and end 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

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:

A.

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.

B.

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.

C.

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.

D.

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.