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| Section | Objectives |
|---|---|
| Topic 1: Data Protection and Recovery | - Backup and recovery mechanisms
|
| Topic 2: Security and Access Control | - Authentication and authorization
|
| Topic 3: Data Loading and Unloading | - Bulk and continuous data ingestion
|
| Topic 4: Performance and Monitoring | - Performance tuning and optimization
|
| Topic 5: Snowflake Architecture and Virtual Warehouses | - Snowflake architecture concepts
|
| Topic 6: Account and Resource Administration | - Account configuration and management
|
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NEW QUESTION # 57
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)
Answer: A,D
Explanation:
Dropping a column from a table or renaming a table breaks the shared schema and can cause dependent queries to fail for consumers. These are considered breaking changes to shared data in the Snowflake Marketplace.
NEW QUESTION # 58
The following SQL command was executed:
Use role SECURITYADMIN;
Grant ownership
On future tables
In schema PROD.WORKING
To role PROD_WORKING_OWNER;
Grant role PROD_WORKING_OWNER to role SYSADMIN;
Use role ACCOUNTADMIN;
Create table PROD.WORKING.XYZ (value number);
Which role(s) can alter or drop table XYZ?
Answer: B
Explanation:
Although ACCOUNTADMIN created the table, the future ownership grant ensures ownership of new tables in PROD.WORKING is assigned to PROD_WORKING_OWNER. Since PROD_WORKING_OWNER was granted to SYSADMIN, both roles, along with ACCOUNTADMIN (which always has ultimate rights), can alter or drop the table XYZ.
NEW QUESTION # 59
What is a characteristic of Snowflake's transaction locking and concurrency modeling?
Answer: B
Explanation:
Snowflake uses multi-version concurrency control (MVCC), which allows queries and DML statements to operate without blocking each other. This architecture eliminates the possibility of deadlocks because transactions work on snapshots of data rather than locking rows or tables in ways that could cause contention.
NEW QUESTION # 60
What are characteristics of Dynamic Data Masking? (Choose two.)
Answer: B,C
Explanation:
A masking policy applied to a table or column can be dropped or replaced as needed.
The same masking policy can be reused and applied to columns in different tables.
NEW QUESTION # 61
A large international company with many operating regions requires data to be shared bi-directionally among all offices (head office to regional offices and regional offices among themselves). This company is a Snowflake account holder with European operations deployed in Microsoft Azure (single region) while North American regional offices are using AWS (single region) as their deployment cloud. This setup is required to comply with Personal Identifiable Information (PII) regulations in some of the European countries. The corporate head office is in Europe.
How can this data be shared bi-directionally, while MINIMIZING costs?
Answer: C
Explanation:
Direct data sharing is the most cost-efficient method when accounts are in the same region and cloud. For cross-continent or cross-cloud sharing, Snowflake requires replication. Combining both - data sharing within the same region and replication across continents - ensures compliance, minimizes costs, and enables bi-directional sharing.
NEW QUESTION # 62
......
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