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Snowflake Updated ARA-C01 Exam Questions and Answers by andrew

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Snowflake ARA-C01 Exam Overview :

Exam Name: SnowPro Advanced: Architect Certification Exam
Exam Code: ARA-C01 Dumps
Vendor: Snowflake Certification: SnowPro Advanced: Architect
Questions: 162 Q&A's Shared By: andrew
Question 44

A company’s client application supports multiple authentication methods, and is using Okta.

What is the best practice recommendation for the order of priority when applications authenticate to Snowflake?

Options:

A.

1) OAuth (either Snowflake OAuth or External OAuth)2) External browser3) Okta native authentication4) Key Pair Authentication, mostly used for service account users5) Password

B.

1) External browser, SSO2) Key Pair Authentication, mostly used for development environment users3) Okta native authentication4) OAuth (ether Snowflake OAuth or External OAuth)5) Password

C.

1) Okta native authentication2) Key Pair Authentication, mostly used for production environment users3) Password4) OAuth (either Snowflake OAuth or External OAuth)5) External browser, SSO

D.

1) Password2) Key Pair Authentication, mostly used for production environment users3) Okta native authentication4) OAuth (either Snowflake OAuth or External OAuth)5) External browser, SSO

Discussion
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Question 45

Database DB1 has schema S1 which has one table, T1.

DB1 --> S1 --> T1

The retention period of EG1 is set to 10 days.

The retention period of s: is set to 20 days.

The retention period of t: Is set to 30 days.

The user runs the following command:

Drop Database DB1;

What will the Time Travel retention period be for T1?

Options:

A.

10 days

B.

20 days

C.

30 days

D.

37 days

Discussion
Question 46

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 ang 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.

Discussion
Question 47

When using the Snowflake Connector for Kafka, what data formats are supported for the messages? (Choose two.)

Options:

A.

CSV

B.

XML

C.

Avro

D.

JSON

E.

Parquet

Discussion
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