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

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SnowPro Advanced: Architect Certification Exam Questions and Answers

Question 1

How does a standard virtual warehouse policy work in Snowflake?

Options:

A.

It conserves credits by keeping running clusters fully loaded rather than starting additional clusters.

B.

It starts only if the system estimates that there is a query load that will keep the cluster busy for at least 6 minutes.

C.

It starts only f the system estimates that there is a query load that will keep the cluster busy for at least 2 minutes.

D.

It prevents or minimizes queuing by starting additional clusters instead of conserving credits.

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Question 2

Company A would like to share data in Snowflake with Company B. Company B is not on the same cloud platform as Company A.

What is required to allow data sharing between these two companies?

Options:

A.

Create a pipeline to write shared data to a cloud storage location in the target cloud provider.

B.

Ensure that all views are persisted, as views cannot be shared across cloud platforms.

C.

Setup data replication to the region and cloud platform where the consumer resides.

D.

Company A and Company B must agree to use a single cloud platform: Data sharing is only possible if the companies share the same cloud provider.

Question 3

An Architect needs to automate the daily Import of two files from an external stage into Snowflake. One file has Parquet-formatted data, the other has CSV-formatted data.

How should the data be joined and aggregated to produce a final result set?

Options:

A.

Use Snowpipe to ingest the two files, then create a materialized view to produce the final result set.

B.

Create a task using Snowflake scripting that will import the files, and then call a User-Defined Function (UDF) to produce the final result set.

C.

Create a JavaScript stored procedure to read. join, and aggregate the data directly from the external stage, and then store the results in a table.

D.

Create a materialized view to read, Join, and aggregate the data directly from the external stage, and use the view to produce the final result set