Free Snowflake ARA-R01 Exam Questions

Become Snowflake Certified with updated ARA-R01 exam questions and correct answers

Page: 1 / 34

Total 166 Questions | Updated On: Apr 03, 2026

Add To Cart

Question 1

What is a key consideration when setting up search optimization service for a table?

A : Search optimization service works best with a column that has a minimum of 100 K distinct values.

B : Search optimization service can significantly improve query performance on partitioned external tables.

C : Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.

D : The table must be clustered with a key having multiple columns for effective search optimization.

Answer: A

Question 2

How is the change of local time due to daylight savings time handled in Snowflake tasks? (Choose two.)

A : A task scheduled in a UTC-based schedule will have no issues with the time changes.

B : Task schedules can be designed to follow specified or local time zones to accommodate the time changes

C : A task will move to a suspended state during the daylight savings time change.

D : A frequent task execution schedule like minutes may not cause a problem, but will affect the task history.

E : A task schedule will follow only the specified time and will fail to handle lost or duplicated hours.

Answer: A,B

Question 3

A retail company has over 3000 stores all using the same Point of Sale (POS) system. The company wants to

deliver near real-time sales results to category managers. The stores operate in a variety of time zones and

exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than

others.

Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a

complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions

interfaced to scoring algorithms. The source data for aggregations has over 100M rows.

Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention

that includes store numbers and timestamps to identify the set of transactions contained in the files. The files

are typically less than 10MB in size.

How can the near real-time results be provided to the category managers? (Select TWO).

A : All files should be concatenated before ingestion into Snowflake to avoid micro-ingestion.

B : A Snowpipe should be created and configured with AUTO_INGEST = true. A stream should be created to process INSERTS into a single target table using the stream metadata to inform the store number and timestamps.

C : A stream should be created to accumulate the near real-time data and a task should be created that runs at a frequency that matches the real-time analytics needs.

D : An external scheduler should examine the contents of the cloud storage location and issue SnowSQL commands to process the data at a frequency that matches the real-time analytics needs

E : The copy into command with a task scheduled to run every second should be used to achieve the near-real time requirement.

Answer: B,C

Question 4

When loading data from stage using COPY INTO, what options can you specify for the ON_ERROR clause?

A : CONTINUE

B : SKIP_FILE

C : ABORT_STATEMENT

D : FAIL

Answer: A,B,C

Question 5

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

A : Graph model

B : Dimensional/Kimball

C : Data lake

D : lnmon/3NF

E : Bayesian hierarchical model

F : Data vault

Answer: B,D,F

Page: 1 / 34

Total 166 Questions | Updated On: Apr 03, 2026

Add To Cart