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| Section | Objectives |
|---|---|
| Topic 1: Snowflake Architecture and Platform Concepts | - Storage and data organization - Virtual warehouses and compute model - Snowflake architecture fundamentals |
| Topic 2: Data Loading and Unloading | - Bulk data loading using stages and COPY INTO - External and internal stages |
| Topic 3: Security and Access Control | - Authentication and user management - Role-based access control (RBAC) |
| Topic 4: Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
| Topic 5: Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
| Topic 6: Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
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NEW QUESTION # 180
A security review identified several roles that are no longer being used. Which of the roles can be dropped?
Answer: C
NEW QUESTION # 181
Which Snowflake database object can be shared with other accounts?
Answer: B
Explanation:
In Snowflake, Secure User-Defined Functions (UDFs) can be shared with other accounts using Snowflake's data sharing feature. This allows different Snowflake accounts to securely execute the UDFs without having direct access to the underlying data the functions operate on, ensuring privacy and security. The sharing is facilitated through shares created in Snowflake, which can contain Secure UDFs along with other database objects like tables and views.References: Snowflake Documentation on Data Sharing and Secure UDFs
NEW QUESTION # 182
A user needs to MINIMIZE the cost of large tables that are used to store transitory dat a. The data does not need to be protected against failures, because the data can be reconstructed outside of Snowflake.
What table type should be used?
Answer: C
Explanation:
For minimizing the cost of large tables that are used to store transitory data, which does not need to be protected against failures because it can be reconstructed outside of Snowflake, the best table type to use is Transient. Transient tables in Snowflake are designed for temporary or transitory data storage and offer reduced storage costs compared to permanent tables. However, unlike temporary tables, they persist across sessions until explicitly dropped.
Why Transient Tables: Transient tables provide a cost-effective solution for storing data that is temporary but needs to be available longer than a single session. They have lower data storage costs because Snowflake does not maintain historical data (Time Travel) for as long as it does for permanent tables.
Creating a Transient Table:
To create a transient table, use the TRANSIENT keyword in the CREATE TABLE statement:
CREATE TRANSIENT TABLE my_transient_table (...);
Use Case Considerations: Transient tables are ideal for scenarios where the data is not critical, can be easily recreated, and where cost optimization is a priority. They are suitable for development, testing, or staging environments where data longevity is not a concern.
NEW QUESTION # 183
What are potential impacts of storing non-native values like dates and timestamps in a variant column in Snowflake?
Answer: B
Explanation:
Storing non-native values, such as dates and timestamps, in a VARIANT column in Snowflake can lead to slower query performance and increased storage consumption. VARIANT is a semi-structured data type that allows storing JSON, AVRO, ORC, Parquet, or XML data in a single column. When non-native data types are stored as VARIANT, Snowflake must perform implicit conversion to process these values, which can slow down query execution. Additionally, because the VARIANT data type is designed to accommodate a wide variety of data formats, it often requires more storage space compared to storing data in native, strongly-typed columns that are optimized for specific data types.
The performance impact arises from the need to parse and interpret the semi-structured data on the fly during query execution, as opposed to directly accessing and operating on optimally stored data in its native format.
Furthermore, the increased storage consumption is a result of the overhead associated with storing data in a format that is less space-efficient than the native formats optimized for specific types of data.
References:
Snowflake Documentation on Semi-Structured Data: Semi-Structured Data
NEW QUESTION # 184
Which user preferences can be set for a user profile in Snowsight? (Select TWO).
Answer: B,D
Explanation:
In Snowsight, Snowflake's web interface, user preferences can be customized to enhance the user experience. Among these preferences, users can set a default database and default schema. These settings streamline the user experience by automatically selecting the specified database and schema when the user initiates a new session or query, reducing the need to manually specify these parameters for each operation. This feature is particularly useful for users who frequently work within a specific database or schema context.References: Snowflake Documentation on Snowsight User Preferences
NEW QUESTION # 185
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