Which of the following are valid methods for authenticating users for access into Snowflake? (Select THREE)
Snowflake supports several methods for authenticating users, includingfederated authentication,key-pair authentication, andOAuth. Federated authentication allows users to authenticate using their organization's identity provider. Key-pair authentication uses a public-private key pair for secure login, and OAuth is an open standard for access delegation commonly used for token-based authentication.References:Authentication policies | Snowflake Documentation,Authenticating to the server | Snowflake Documentation,External API authentication and secrets | Snowflake Documentation.
What is a limitation of a Materialized View?
Materialized Views in Snowflake are designed to store the result of a query and can be refreshed to maintain up-to-date data. However, they have certain limitations, one of which is that they cannot be defined using a JOIN clause. This means that a Materialized View can only be created based on a single source table and cannot combine data from multiple tables using JOIN operations.
References:
Snowflake Documentation on Materialized Views
SnowPro Core Certification Study Guide
Which schema-level objects allow the user to periodically perform an action under specific conditions, based on data within Snowflake?
What will prevent unauthorized access to a Snowflake account from an unknown source?
A network policy in Snowflake is used to restrict access to the Snowflake account from unauthorized or unknown sources.It allows administrators to specify allowed IP address ranges, thus preventing access from any IP addresses not listed in the policy1.
What value provides information about disk usage for operations where intermediate results do not fit in memory in a Query Profile?
In Snowflake, when a query execution requires more memory than what is available, Snowflake handles these situations by spilling the intermediate results to disk. This process is known as 'spilling.' The Query Profile in Snowflake includes a metric that helps users identify when and how much data spilling occurs during the execution of a query. This information is crucial for optimizing queries as excessive spilling can significantly slow down query performance. The value that provides this information about disk usage due to intermediate results not fitting in memory is appropriately labeled as 'Spilling' in the Query Profile.
References:
Snowflake Documentation on Query Profile and Performance: This section explains the various components of the query profile, including the spilling metric, which indicates disk usage for operations where intermediate results exceed available memory.
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