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ARA-R01 Exam Dumps : SnowPro Advanced: Architect Recertification Exam

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SnowPro Advanced: Architect Recertification Exam Questions and Answers

Question 1

A company has a source system that provides JSON records for various loT operations. The JSON Is loading directly into a persistent table with a variant field. The data Is quickly growing to 100s of millions of records and performance to becoming an issue. There is a generic access pattern that Is used to filter on the create_date key within the variant field.

What can be done to improve performance?

Options:

A.

Alter the target table to Include additional fields pulled from the JSON records. This would Include a create_date field with a datatype of time stamp. When this field Is used in the filter, partition pruning will occur.

B.

Alter the target table to include additional fields pulled from the JSON records. This would include a create_date field with a datatype of varchar. When this field is used in the filter, partition pruning will occur.

C.

Validate the size of the warehouse being used. If the record count is approaching 100s of millions, size XL will be the minimum size required to process this amount of data.

D.

Incorporate the use of multiple tables partitioned by date ranges. When a user or process needs to query a particular date range, ensure the appropriate base table Is used.

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Question 2

A user has the appropriate privilege to see unmasked data in a column.

If the user loads this column data into another column that does not have a masking policy, what will occur?

Options:

A.

Unmasked data will be loaded in the new column.

B.

Masked data will be loaded into the new column.

C.

Unmasked data will be loaded into the new column but only users with the appropriate privileges will be able to see the unmasked data.

D.

Unmasked data will be loaded into the new column and no users will be able to see the unmasked data.

Question 3

A company needs to share its product catalog data with one of its partners. The product catalog data is stored in two database tables: product_category, and product_details. Both tables can be joined by the product_id column. Data access should be governed, and only the partner should have access to the records.

The partner is not a Snowflake customer. The partner uses Amazon S3 for cloud storage.

Which design will be the MOST cost-effective and secure, while using the required Snowflake features?

Options:

A.

Use Secure Data Sharing with an S3 bucket as a destination.

B.

Publish product_category and product_details data sets on the Snowflake Marketplace.

C.

Create a database user for the partner and give them access to the required data sets.

D.

Create a reader account for the partner and share the data sets as secure views.