Why data sharing eliminates data copies in Snowflake - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

How does Snowflake data sharing avoid data duplication?

Snowflake allows sharing data between accounts without copying it. What is the main reason this eliminates data copies?

A Data is duplicated but stored in a compressed format to save space.

B Data is exported and imported automatically between accounts.

C Data is accessed directly from the provider's storage without creating new copies.

D Data is cached locally in each account to speed up access.

💡 Hint

Think about where the data physically lives when shared.

Snowflake data sharing works by letting other accounts query the original data directly in the provider's storage. This means no new copies are made, saving space and ensuring data consistency.

❓ service_behavior

intermediate

What happens when a consumer queries shared data in Snowflake?

When a consumer account queries data shared by a provider in Snowflake, what is the behavior regarding data storage?

A The consumer creates a local copy of the data before querying.

B The data is temporarily copied to the consumer's storage during the query.

C The consumer must manually copy the data before querying.

D The query runs directly on the provider's data without copying it.

💡 Hint

Consider how Snowflake optimizes data access for shared data.

Snowflake allows the consumer to run queries directly on the provider's data. This avoids copying and ensures the consumer always sees the latest data.

❓ Architecture

advanced

Why does Snowflake data sharing improve data consistency?

Snowflake data sharing eliminates data copies. How does this improve data consistency across accounts?

A Because all consumers access the same live data source, updates are immediately visible to all.

B Because each consumer has a snapshot copy updated daily.

C Because data is synchronized hourly between accounts.

D Because consumers cache data locally and refresh weekly.

💡 Hint

Think about how sharing live data affects visibility of changes.

Since consumers query the provider's live data, any changes made by the provider are instantly visible to all consumers, ensuring consistency without delays or sync issues.

❓ security

advanced

How does Snowflake data sharing maintain data security without copying data?

Snowflake shares data without copying it. How does it ensure that only authorized consumers can access the shared data?

A By encrypting data copies sent to consumers.

B By controlling access through secure shares and permissions managed by the provider.

C By requiring consumers to download data and store it securely.

D By using VPN tunnels between accounts.

💡 Hint

Focus on how Snowflake manages access control for shared data.

Snowflake uses secure shares that the provider configures. Only accounts granted access can query the shared data, ensuring security without data duplication.

✅ Best Practice

expert

What is the best practice to minimize storage costs when sharing data in Snowflake?

Given that Snowflake data sharing avoids data copies, what practice best minimizes storage costs for the provider?

A Share data directly without creating additional copies or clones.

B Duplicate data in separate databases for each consumer.

C Export data to external storage and share links with consumers.

D Create multiple clones of the data for each consumer to optimize performance.

💡 Hint

Think about how data sharing works and storage billing.

Sharing data directly avoids extra storage usage and costs. Creating clones or duplicates increases storage and costs unnecessarily.