The correct answer is A. View .
In Snowflake data sharing, secure objects are normally required when sharing views or functions because secure objects prevent sensitive underlying query details from being exposed. However, when the SECURE_OBJECTS_ONLY property is set to FALSE, non-secure views can be shared.
Why A is correct:
A view can be shared when SECURE_OBJECTS_ONLY = FALSE. This setting relaxes the requirement that only secure views be included.
Why the other options are incorrect:
B). Stored procedures are not standard objects shared through Snowflake secure data sharing in the same way as tables and views.
C). Storage integration access is not shared as a database object through a Snowflake share.
D). UDF sharing has security restrictions, and the safest exam answer here is a view when SECURE_OBJECTS_ONLY is disabled.
Official Snowflake documentation reference:
Snowflake documentation explains that shares can include database objects such as tables and views. Secure object requirements apply to certain shared objects, and the SECURE_OBJECTS_ONLY property controls whether only secure objects are allowed.
Reference: Snowflake Documentation - Secure Data Sharing; Snowflake Documentation - Shares; Snowflake Documentation - SECURE_OBJECTS_ONLY; SnowPro Core Study Guide - Data Protection and Governance.
==

A Snowflake user would decide to use a materialized view instead of a regular view primarily when the base tables do not change frequently. Materialized views store the result of the view query and update it as the underlying data changes, making them ideal for situations where the data is relatively static and query performance is critical. By precomputing and storing the query results, materialized views can significantly reduce query execution times for complex aggregations, joins, and calculations.
References:
Snowflake Documentation: Materialized Views

The minimum Snowflake edition required for database failover and fail-back between Snowflake accounts for business continuity and disaster recovery is the Business Critical edition. References: Snowflake Documentation3.

Credit charges for Snowflake virtual warehouses are calculated based on the size of the virtual warehouse and the length of time the warehouse is running. The size determines the compute resources available, and charges are incurred for the time these resources are utilized

Pruning in Snowflake refers to the process of filtering or disregarding micro-partitions that are not needed to satisfy the conditions of a query. This optimization technique helps reduce the amount ofdata scanned, thereby improving query performance