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A company has built a data pipeline using Snowpipe to ingest files from an Amazon S3 bucket. Snowpipe is
configured to load data into staging database tables. Then a task runs to load the data from the staging database
tables into the reporting database tables.
The company is satisfied with the availability of the data in the reporting database tables, but the reporting
tables are not pruning effectively. Currently, a size 4X-Large virtual warehouse is being used to query all of the tables in the reporting database.
What step can be taken to improve the pruning of the reporting tables?
Following objects can be cloned in snowflake
A company is designing high availability and disaster recovery plans and needs to maximize redundancy and
minimize recovery time objectives for their critical application processes. Cost is not a concern as long as the
solution is the best available. The plan so far consists of the following steps:
1. Deployment of Snowflake accounts on two different cloud providers.
2. Selection of cloud provider regions that are geographically far apart.
3. The Snowflake deployment will replicate the databases and account data between both cloud provider
accounts.
4. Implementation of Snowflake client redirect.
What is the MOST cost-effective way to provide the HIGHEST uptime and LEAST application disruption if
there is a service event?
Data sharing is supported only between provider and consumer accounts in same region
What command can we use to delete a share from the Snowflake account?
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