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Snowflake ARA-R01 Dumps

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SnowPro Advanced: Architect Recertification Exam
Last Update: Jul 14, 2024
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SnowPro Advanced: Architect Recertification Exam Questions and Answers

Questions 1

What Snowflake features should be leveraged when modeling using Data Vault?



Snowflake’s support of multi-table inserts into the data model’s Data Vault tables


Data needs to be pre-partitioned to obtain a superior data access performance


Scaling up the virtual warehouses will support parallel processing of new source loads


Snowflake’s ability to hash keys so that hash key joins can run faster than integer joins

Questions 2

What built-in Snowflake features make use of the change tracking metadata for a table? (Choose two.)



The MERGE command


The UPSERT command


The CHANGES clause


A STREAM object



Questions 3

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?



Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The query results will then be cached and ready to respond quickly when the users re-issue the query.


Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The task will be scheduled to align with the users' working hours in order to allow the warehouse cache to be used.


Enable the search optimization service on the table. When the users execute the query, the search optimization service will automatically adjust the query execution plan based on the frequently-used parameters.


Create a dedicated size Large warehouse for this particular set of queries. Create a new role that has USAGE permission on this warehouse and has the appropriate read permissions over the fact and dimension tables. Have users switch to this role and use this warehouse when they want to access this data.