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Snowflake Updated ARA-R01 Exam Questions and Answers by salahuddin

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Snowflake ARA-R01 Exam Overview :

Exam Name: SnowPro Advanced: Architect Recertification Exam
Exam Code: ARA-R01 Dumps
Vendor: Snowflake Certification: Snowflake Certification
Questions: 162 Q&A's Shared By: salahuddin
Question 36

A company is designing its serving layer for data that is in cloud storage. Multiple terabytes of the data will be used for reporting. Some data does not have a clear use case but could be useful for experimental analysis. This experimentation data changes frequently and is sometimes wiped out and replaced completely in a few days.

The company wants to centralize access control, provide a single point of connection for the end-users, and maintain data governance.

What solution meets these requirements while MINIMIZING costs, administrative effort, and development overhead?

Options:

A.

Import the data used for reporting into a Snowflake schema with native tables. Then create external tables pointing to the cloud storage folders used for the experimentation data. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.

B.

Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables. Then create a role that has access to this schema and manage access to the data through that role.

C.

Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.

D.

Import the data used for reporting into a Snowflake schema with native tables. Then create views that have SELECT commands pointing to the cloud storage files for the experimentation data. Then create two different roles to match the different user personas, and grant these roles to the corresponding users.

Discussion
Question 37

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

Options:

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.

Discussion
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Question 38

The IT Security team has identified that there is an ongoing credential stuffing attack on many of their organization’s system.

What is the BEST way to find recent and ongoing login attempts to Snowflake?

Options:

A.

Call the LOGIN_HISTORY Information Schema table function.

B.

Query the LOGIN_HISTORY view in the ACCOUNT_USAGE schema in the SNOWFLAKE database.

C.

View the History tab in the Snowflake UI and set up a filter for SQL text that contains the text "LOGIN".

D.

View the Users section in the Account tab in the Snowflake UI and review the last login column.

Discussion
Question 39

A company’s daily Snowflake workload consists of a huge number of concurrent queries triggered between 9pm and 11pm. At the individual level, these queries are smaller statements that get completed within a short time period.

What configuration can the company’s Architect implement to enhance the performance of this workload? (Choose two.)

Options:

A.

Enable a multi-clustered virtual warehouse in maximized mode during the workload duration.

B.

Set the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level.

C.

Increase the size of the virtual warehouse to size X-Large.

D.

Reduce the amount of data that is being processed through this workload.

E.

Set the connection timeout to a higher value than its default.

Discussion
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