Snowflake ARA-R01 Exam Questions

An Architect needs to design a Snowflake account and database strategy to store and analyze large amounts of structured and semi-structured dat

a. There are many business units and departments within the company. The requirements are scalability, security, and cost efficiency.

What design should be used?

A Developer is having a performance issue with a Snowflake query. The query receives up to 10 different values for one parameter and then performs an aggregation over the majority of a fact table. It then

joins against a smaller dimension table. This parameter value is selected by the different query users when they execute it during business hours. Both the fact and dimension tables are loaded with new data in an overnight import process.

On a Small or Medium-sized virtual warehouse, the query performs slowly. Performance is acceptable on a size Large or bigger warehouse. However, there is no budget to increase costs. The Developer

needs a recommendation that does not increase compute costs to run this query.

What should the Architect recommend?

An Architect for a multi-national transportation company has a system that is used to check the weather conditions along vehicle routes. The data is provided to drivers.

The weather information is delivered regularly by a third-party company and this information is generated as JSON structure. Then the data is loaded into Snowflake in a column with a VARIANT data type. This

table is directly queried to deliver the statistics to the drivers with minimum time lapse.

A single entry includes (but is not limited to):

- Weather condition; cloudy, sunny, rainy, etc.

- Degree

- Longitude and latitude

- Timeframe

- Location address

- Wind

The table holds more than 10 years' worth of data in order to deliver the statistics from different years and locations. The amount of data on the table increases every day.

The drivers report that they are not receiving the weather statistics for their locations in time.

What can the Architect do to deliver the statistics to the drivers faster?

A new table and streams are created with the following commands:

CREATE OR REPLACE TABLE LETTERS (ID INT, LETTER STRING) ;

CREATE OR REPLACE STREAM STREAM_1 ON TABLE LETTERS;

CREATE OR REPLACE STREAM STREAM_2 ON TABLE LETTERS APPEND_ONLY = TRUE;

The following operations are processed on the newly created table:

INSERT INTO LETTERS VALUES (1, 'A');

INSERT INTO LETTERS VALUES (2, 'B');

INSERT INTO LETTERS VALUES (3, 'C');

TRUNCATE TABLE LETTERS;

INSERT INTO LETTERS VALUES (4, 'D');

INSERT INTO LETTERS VALUES (5, 'E');

INSERT INTO LETTERS VALUES (6, 'F');

DELETE FROM LETTERS WHERE ID = 6;

What would be the output of the following SQL commands, in order?

SELECT COUNT (*) FROM STREAM_1;

SELECT COUNT (*) FROM STREAM_2;

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 dat

a. 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?