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| Section | Objectives |
|---|---|
| Topic 1: Security and Access Control | - Role-based access control (RBAC) - Authentication and user management |
| Topic 2: Data Loading and Unloading | - External and internal stages - Bulk data loading using stages and COPY INTO |
| Topic 3: Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
| Topic 4: Snowflake Architecture and Platform Concepts | - Storage and data organization - Virtual warehouses and compute model - Snowflake architecture fundamentals |
| Topic 5: Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
| Topic 6: Performance and Optimization | - Warehouse sizing and scaling - Query optimization basics |
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NEW QUESTION # 645
What optional properties can a Snowflake user set when creating a virtual warehouse? (Select TWO).
Answer: C,E
Explanation:
When creating a virtual warehouse in Snowflake, users have the option to set several properties to manage its behavior and resource usage. Two of these optional properties are Auto-suspend and Resource monitor.
Auto-suspend: This property defines the period of inactivity after which the warehouse will automatically suspend. This helps in managing costs by stopping the warehouse when it is not in use.
CREATE WAREHOUSE my_warehouse
WITH WAREHOUSE_SIZE = 'XSMALL'
AUTO_SUSPEND = 300; -- Auto-suspend after 5 minutes of inactivity
Resource monitor: Users can assign a resource monitor to a warehouse to control and limit the amount of credit usage. Resource monitors help in setting quotas and alerts for warehouse usage.
CREATE WAREHOUSE my_warehouse
WITH WAREHOUSE_SIZE = 'XSMALL'
RESOURCE_MONITOR = 'my_resource_monitor';
References:
Snowflake Documentation: Creating Warehouses
Snowflake Documentation: Resource Monitors
NEW QUESTION # 646
What does adding the PARTITION BY clause in the COPY INTO < location > command do?
Answer: D
NEW QUESTION # 647
Which data types can be used in a Snowflake table that holds semi-structured data? (Select TWO).
Answer: C,E
Explanation:
Snowflake supports semi-structured data types that can store complex data structures within a single column.
TheVARIANTdata type can hold structured and semi-structured data formats such as JSON, Avro, ORC, Parquet, and XML. TheARRAYdata type is also used for semi-structured data and can store an ordered list of elements. These data types enable users to work with semi-structured data directly in Snowflake without needing to flatten the data into a relational schema first.
References: Snowflake Documentation on Semi-Structured Data Types
NEW QUESTION # 648
What is the recommended way to change the existing file format type in my format from CSV to JSON?
Answer: A
Explanation:
To change the existing file format type from CSV to JSON, the recommended way is to use the ALTER FILE FORMAT command with the SET TYPE=JSON clause. This alters the file format specification to use JSON instead of CSV.References:Based on my internal knowledge as of 2021.
NEW QUESTION # 649
Which technical needs require Enterprise Edition? Select TWO.
Answer: A,B
Explanation:
Enterprise Edition includes features such as multi-cluster warehouses and column-level security features.
Multi-cluster warehouses are used for high concurrency, and column-level security includes features such as masking policies.
Why the others are incorrect:
Network policies are available below Enterprise. Private connectivity and Tri-Secret Secure require Business Critical or higher, not merely Enterprise.
Reference: Snowflake Documentation - Snowflake editions; Multi-cluster warehouses; Column-level security.
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NEW QUESTION # 650
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