Free Snowflake ARA-R01 Exam Questions

Question 1

An Architect is designing a pipeline to stream event data into Snowflake using the Snowflake Kafka connector. The Architect’s highest priority is to configure the connector to stream data in the MOST cost-effective manner. Which of the following is recommended for optimizing the cost associated with the Snowflake Kafka connector?

A : Utilize a higher Buffer.flush.time in the connector configuration.

B : Utilize a higher Buffer.size.bytes in the connector configuration.

C : Utilize a lower Buffer.size.bytes in the connector configuration.

D : Utilize a lower Buffer.count.records in the connector configuration.

Answer: A

Question 2

A company's Architect needs to find an efficient way to get data from an external partner, who is also a Snowflake user. The current solution is based on daily JSON extracts that are placed on an FTP server and uploaded to Snowflake manually. The files are changed several times each month, and the ingestion process needs to be adapted to accommodate these changes. What would be the MOST efficient solution?

A : Ask the partner to create a share and add the company's account.

B : Ask the partner to use the data lake export feature and place the data into cloud storage where Snowflake can natively ingest it (schema-on-read).

C : Keep the current structure but request that the partner stop changing files, instead only appending new files.

D : Ask the partner to set up a Snowflake reader account and use that account to get the data for ingestion.

Answer: A

Question 3

Which of the below commands will use warehouse credits?

A : SHOW TABLES LIKE 'SNOWFL%';

B : SELECT MAX(FLAKE_ID) FROM SNOWFLAKE;

C : SELECT COUNT(*) FROM SNOWFLAKE;

D : SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID;

Answer: B,C,D

Question 4

A company is designing a process for importing a large amount of loT JSON data from cloud storage into Snowflake. New sets of loT data get generated and uploaded approximately every 5 minutes. Once the loT data is in Snowflake, the company needs up-to-date information from an external vendor to join to the data. This data is then presented to users through a dashboard that shows different levels of aggregation. The external vendor is a Snowflake customer. What solution will MINIMIZE complexity and MAXIMIZE performance?

A : 1. Create an external table over the JSON data in cloud storage. 2. Create a task that runs every 5 minutes to run a transformation procedure on new data, based on a saved timestamp. 3. Ask the vendor to expose an API so an external function can be used to generate a call to join the data back to the loT data in the transformation procedure. 4. Give the transformed table access to the dashboard tool. 5. Perform the aggregations on the dashboard tool.

B : 1. Create an external table over the JSON data in cloud storage. 2. Create a task that runs every 5 minutes to run a transformation procedure on new data based on a saved timestamp. 3. Ask the vendor to create a data share with the required data that can be imported into the company's Snowflake account. 4. Join the vendor's data back to the loT data using a transformation procedure. 5. Create views over the larger dataset to perform the aggregations required by the dashboard. 6. Give the views access to the dashboard tool.

C : privileges to create or manage shares), they can add an Enterprise edition account as a consumer. This feature enables flexibility in data sharing across different Snowflake account editions, facilitating broader data collaboration and accessibility.References: Snowflake's data sharing documentation and the specifics of edition-based capabilities discussed in SnowPro Advanced: Architect certification materials. Question #:47 A company is designing a process for importing a large amount of loT JSON data from cloud storage into Snowflake. New sets of loT data get generated and uploaded approximately every 5 minutes. Once the loT data is in Snowflake, the company needs up-to-date information from an external vendor to join to the data. This data is then presented to users through a dashboard that shows different levels of aggregation. The external vendor is a Snowflake customer. What solution will MINIMIZE complexity and MAXIMIZE performance? 1. Create an external table over the JSON data in cloud storage. 2. Create a task that runs every 5 minutes to run a transformation procedure on new data, based on a saved timestamp. 3. Ask the vendor to expose an API so an external function can be used to generate a call to join the data back to the loT data in the transformation procedure. 4. Give the transformed table access to the dashboard tool. 5. Perform the aggregations on the dashboard tool. 1. Create an external table over the JSON data in cloud storage. 2. Create a task that runs every 5 minutes to run a transformation procedure on new data based on a saved timestamp. 3. Ask the vendor to create a data share with the required data that can be imported into the company's Snowflake account. 4. Join the vendor's data back to the loT data using a transformation procedure. 5. Create views over the larger dataset to perform the aggregations required by the dashboard. 6. Give the views access to the dashboard tool. 1. Create a Snowpipe to bring the JSON data into Snowflake. 2. Use streams and tasks to trigger a transformation procedure when new JSON data arrives. 3. Ask the vendor to expose an API so an external function call can be made to join the vendor's data back to the loT data in a transformation procedure. 4. Create materialized views over the larger dataset to perform the aggregations required by the dashboard. 5. Give the materialized views access to the dashboard tool

D : 1. Create a Snowpipe to bring the JSON data into Snowflake. 2. Use streams and tasks to trigger a transformation procedure when new JSON data arrives. 3. Ask the vendor to create a data share with the required data that is then imported into the Snowflake account. 4. Join the vendor's data back to the loT data in a transformation procedure 5. Create materialized views over the larger dataset to perform the aggregations required by the dashboard. 6. Give the materialized views access to the dashboard tool.

Answer: D

Question 5

There are two databases in an account, named fin_db and hr_db which contain payroll and employee data, respectively. Accountants and Analysts in the company require different permissions on the objects in these databases to perform their jobs. Accountants need read-write access to fin_db but only require read-only access to hr_db because the database is maintained by human resources personnel. An Architect needs to create a read-only role for certain employees working in the human resources department. Which permission sets must be granted to this role?

A : USAGE on database hr_db, USAGE on all schemas in database hr_db, SELECT on all tables in database hr_db

B : USAGE on database hr_db, SELECT on all schemas in database hr_db, SELECT on all tables in database hr_db

C : MODIFY on database hr_db, USAGE on all schemas in database hr_db, USAGE on all tables in database hr_db

D : USAGE on database hr_db, USAGE on all schemas in database hr_db, REFERENCES on all tables in database hr_db

Answer: A