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| Section | Objectives |
|---|---|
| Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
| Security and Access Control | - Authentication and user management - Role-based access control (RBAC) |
| Snowflake Architecture and Platform Concepts | - Virtual warehouses and compute model - Snowflake architecture fundamentals - Storage and data organization |
| Data Loading and Unloading | - External and internal stages - Bulk data loading using stages and COPY INTO |
| Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
| Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
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NEW QUESTION # 1081
In which hierarchy is tag inheritance possible?
Answer: C
Explanation:
In Snowflake, tag inheritance is a feature that allows tags, which are key-value pairs assigned to objects for the purpose of data governance and metadata management, to be inherited within a hierarchy. The hierarchy in which tag inheritance is possible is from Schema to Table to Column. This means that a tag applied to a schema can be inherited by the tables within that schema, and a tag applied to a table can be inherited by the columns within that table.
References: Snowflake Documentation on Tagging and Object Hierarchy
NEW QUESTION # 1082
What is the recommended compressed file size range for continuous data loads using Snowpipe?
Answer: C
Explanation:
For continuous data loads using Snowpipe, the recommended compressed file size range is between 100-250 MB.This size range is suggested to optimize the number of parallel operations for a load and to avoid size limitations, ensuring efficient and cost-effective data loading
NEW QUESTION # 1083
Which of the following describes how multiple Snowflake accounts in a single organization relate to various cloud providers?
Answer: B
Explanation:
Snowflake's architecture allows for flexibility in account hosting across different cloud vendors and regions. This means that within a single organization, different Snowflake accounts can be set up in various cloud environments, such as AWS, Azure, or GCP, and in different geographical regions. This allows organizations to leverage the global infrastructure of multiple cloud providers and optimize their data storage and computing needs based on regional requirements, data sovereignty laws, and other considerations.
https://docs.snowflake.com/en/user-guide/intro-regions.html
NEW QUESTION # 1084
What is a non-configurable feature that provides historical data that Snowflake may recover during a 7-day period?
Answer: C
Explanation:
Fail-safe is a non-configurable feature in Snowflake that provides an additional layer of data protection beyond Time Travel. Time Travel allows users to access historical data within a configurable period (up to 90 days), while Fail-safe provides an additional 7-day period during which Snowflake retains historical data to recover from significant data loss or corruption incidents. This period is not accessible by users but can be used by Snowflake support to assist in data recovery efforts.References: Snowflake Documentation on Fail-safe and Time Travel
NEW QUESTION # 1085
Which Query Profile metrics will provide information that can be used to improve query performance? (Select TWO).
Answer: C,E
Explanation:
Two key metrics in Snowflake's Query Profile that provide insights for performance improvement are:
Remote Disk IO: This measures the time the query spends waiting on remote disk access, indicating potential performance issues related to I/O bottlenecks.
Pruning: This metric reflects how effectively Snowflake's micro-partition pruning is reducing the data scanned. Better pruning (more partitions excluded) leads to faster query performance, as fewer micro-partitions need to be processed.
These metrics are essential for identifying and addressing inefficiencies in data retrieval and storage access, optimizing overall query performance.
NEW QUESTION # 1086
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