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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

An Architect is designing a file ingestion recovery solution. The project will use an internal named stage for file storage. Currently, in the case of an ingestion failure, the Operations team must manually download the failed file and check for errors.

Which downloading method should the Architect recommend that requires the LEAST amount of operational overhead?

Options:

A.

Use the Snowflake Connector for Python, connect to remote storage and download the file.

B.

Use the get command in SnowSQL to retrieve the file.

C.

Use the get command in Snowsight to retrieve the file.

D.

Use the Snowflake API endpoint and download the file.

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Question 2

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

Question 3

A company is designing its serving layer for data that is in cloud storage. Multiple terabytes of the data will be used for reporting. Some data does not have a clear use case but could be useful for experimental analysis. This experimentation data changes frequently and is sometimes wiped out and replaced completely in a few days.

The company wants to centralize access control, provide a single point of connection for the end-users, and maintain data governance.

What solution meets these requirements while MINIMIZING costs, administrative effort, and development overhead?

Options:

A.

Import the data used for reporting into a Snowflake schema with native tables. Then create external tables pointing to the cloud storage folders used for the experimentation data. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.

B.

Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables. Then create a role that has access to this schema and manage access to the data through that role.

C.

Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.

D.

Import the data used for reporting into a Snowflake schema with native tables. Then create views that have SELECT commands pointing to the cloud storage files for the experimentation data. Then create two different roles to match the different user personas, and grant these roles to the corresponding users.