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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

A media company needs a data pipeline that will ingest customer review data into a Snowflake table, and apply some transformations. The company also needs to use Amazon Comprehend to do sentiment analysis and make the de-identified final data set available publicly for advertising companies who use different cloud providers in different regions.

The data pipeline needs to run continuously and efficiently as new records arrive in the object storage leveraging event notifications. Also, the operational complexity, maintenance of the infrastructure, including platform upgrades and security, and the development effort should be minimal.

Which design will meet these requirements?

Options:

A.

Ingest the data using copy into and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

B.

Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Create an external function to do model inference with Amazon Comprehend and write the final records to a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

C.

Ingest the data into Snowflake using Amazon EMR and PySpark using the Snowflake Spark connector. Apply transformations using another Spark job. Develop a python program to do model inference by leveraging the Amazon Comprehend text analysis API. Then write the results to a Snowflake table and create a listing in the Snowflake Marketplace to make the data available to other companies.

D.

Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

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Question 2

Which data models can be used when modeling tables in a Snowflake environment? (Select THREE).

Options:

A.

Graph model

B.

Dimensional/Kimball

C.

Data lake

D.

lnmon/3NF

E.

Bayesian hierarchical model

F.

Data vault

Question 3

A Snowflake Architect created a new data share and would like to verify that only specific records in secure views are visible within the data share by the consumers.

What is the recommended way to validate data accessibility by the consumers?

Options:

A.

Create reader accounts as shown below and impersonate the consumers by logging in with their credentials.

create managed account reader_acctl admin_name = userl , adroin_password ■ 'Sdfed43da!44T , type = reader;

B.

Create a row access policy as shown below and assign it to the data share.

create or replace row access policy rap_acct as (acct_id varchar) returns boolean -> case when 'acctl_role' = current_role() then true else false end;

C.

Set the session parameter called SIMULATED_DATA_SHARING_C0NSUMER as shown below in order to impersonate the consumer accounts.

alter session set simulated_data_sharing_consumer - 'Consumer Acctl*

D.

Alter the share settings as shown below, in order to impersonate a specific consumer account.

alter share sales share set accounts = 'Consumerl’ share restrictions = true