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| Section | Objectives |
|---|---|
| Data Loading and Unloading | - Bulk loading using stages and COPY INTO - Data unloading and external stages |
| Data Transformations and Querying | - SQL querying in Snowflake - Semi-structured data handling (VARIANT, JSON, Parquet) |
| Data Protection, Security, and Performance | - Time Travel and Fail-safe concepts - Query performance optimization basics - Role-based access control (RBAC) |
| Snowflake Architecture and Overview | - Snowflake architecture concepts (cloud data platform, separation of storage and compute) - Virtual warehouses and resource scaling concepts |
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NEW QUESTION # 120
Which command is used to unload data from a Snowflake database table into one or more files in a Snowflake stage?
Answer: B
NEW QUESTION # 121
Assume there is a table consisting of five micro-partitions with values ranging from A to Z.
Which diagram indicates a well-clustered table?
Answer: D
NEW QUESTION # 122
What should be considered when deciding to use a secure view? (Select TWO).
Answer: A,C
Explanation:
When deciding to use a secure view, several considerations come into play, especially concerning security and performance:
A . No details of the query execution plan will be available in the query profiler: Secure views are designed to prevent the exposure of the underlying data and the view definition to unauthorized users. Because of this, the detailed execution plans for queries against secure views are not available in the query profiler. This is intended to protect sensitive data from being inferred through the execution plan.
C . Secure views do not take advantage of the same internal optimizations as standard views: Secure views, by their nature, limit some of the optimizations that can be applied compared to standard views. This is because they enforce row-level security and mask data, which can introduce additional processing overhead and limit the optimizer's ability to apply certain efficiencies that are available to standard views.
B . Once created, there is no way to determine if a view is secure or not is incorrect because metadata about whether a view is secure can be retrieved from the INFORMATION_SCHEMA views or by using the SHOW VIEWS command.
D . It is not possible to create secure materialized views is incorrect because the limitation is not on the security of the view but on the fact that Snowflake currently does not support materialized views with the same dynamic data masking and row-level security features as secure views.
E . The view definition of a secure view is still visible to users by way of the information schema is incorrect because secure views specifically hide the view definition from users who do not have the privilege to view it, ensuring that sensitive information in the definition is not exposed.
NEW QUESTION # 123
What is the MOST performant file format for loading data in Snowflake?
Answer: A
NEW QUESTION # 124
How can a user MINIMIZE Continuous Data Protection costs when using large, high-churn, dimension tables?
Answer: D
Explanation:
To minimize Continuous Data Protection (CDP) costs when dealing with large, high-churn dimension tables in Snowflake, using transient tables is a recommended approach.
* Transient Tables: These are designed for data that does not require fail-safe protection. They provide the benefit of reducing costs associated with continuous data protection since they do not have the seven-day Fail-safe period that is mandatory for permanent tables.
* Periodic Copying to Permanent Tables: By periodically copying data from transient tables to permanent tables, you can achieve a balance between data protection and cost-efficiency. Permanent tables offer the extended data protection features, including Time Travel and Fail-safe, butthese features can be applied selectively rather than continuously, reducing the overall CDP costs.
:
Snowflake Documentation on Transient Tables
Snowflake Documentation on Time Travel & Fail-safe
NEW QUESTION # 125
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