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NEW QUESTION # 693
Which methods can be used to delete staged files from a Snowflake stage? (Choose two.)
Answer: D,E
Explanation:
To delete staged files from a Snowflake stage, you can specify the PURGE option in the COPY INTO
<table> command, which will automatically delete the files after they have been successfully loaded. Additionally, you can use the REMOVE command after the load completes to manually delete the files from the stage12.
References = DROP STAGE, REMOVE
NEW QUESTION # 694
Which of the following is a valid source for an external stage when the Snowflake account is located on Microsoft Azure?
Answer: B
NEW QUESTION # 695
Which actions can consumers perform after joining a Data Exchange? Select TWO.
Answer: B,C
Explanation:
The correct answers are C. Consume datasets and E. Browse exchange listings .
Important correction:
The provided answer A, B is not correct for consumers. Creating and publishing listings are provider actions, not consumer actions.
Why C is correct:
Consumers join a Data Exchange so they can access and consume datasets made available by providers.
Why E is correct:
Consumers can browse listings in the Data Exchange to discover datasets that are available to them.
Why the other options are incorrect:
A). Creating a listing is a provider action.
B). Publishing a listing is a provider or exchange administrator/provider action.
D). Defining listing access is an administrative/provider function, not a typical consumer action.
Official Snowflake documentation reference:
Snowflake documentation describes a Data Exchange as a private hub where providers publish listings and consumers browse and access shared datasets.
Reference: Snowflake Documentation - Data Exchange; Snowflake Documentation - Listings; Snowflake Documentation - Secure Data Sharing; SnowPro Core Study Guide - Data Protection and Governance.
NEW QUESTION # 696
What is the MINIMUM permission needed to access a file URL from an external stage?
Answer: D
Explanation:
To access a file URL from an external stage in Snowflake, the minimum permission required is USAGE on the stage object. USAGE permission allows a user to reference the stage in SQL commands, necessary for actions like listing files or loading data from the stage, but does not permit the user to alter or drop the stage.
Reference:
Snowflake Documentation: Access Control
NEW QUESTION # 697
Which type of workload is recommended for Snowpark-optimized virtual warehouses?
Answer: A
Explanation:
Snowpark-optimized virtual warehouses in Snowflake are designed to efficiently handle workloads with large memory requirements. Snowpark is a developer framework that allows users to write code in languages like Scala, Java, and Python to process data in Snowflake. Given the nature of these programming languages and the types of data processing tasks they are typically used for, having a virtual warehouse that can efficiently manage large memory-intensive operations is crucial.
* Understanding Snowpark-Optimized Virtual Warehouses:
* Snowpark allows developers to build complex data pipelines and applications within Snowflake using familiar programming languages.
* These virtual warehouses are optimized to handle the execution of Snowpark workloads, which often involve large datasets and memory-intensive operations.
* Large Memory Requirements:
* Workloads with large memory requirements include data transformations, machine learning model training, and advanced analytics.
* These operations often need to process significant amounts of data in memory to perform efficiently.
* Snowpark-optimized virtual warehouses are configured to provide the necessary memory resources to support these tasks, ensuring optimal performance and scalability.
* Other Considerations:
* While Snowpark can handle other types of workloads, its optimization for large memory tasks makes it particularly suitable for scenarios where data processing needs to be done in-memory.
* Snowflake's ability to scale compute resources dynamically also plays a role in efficiently managing large memory workloads, ensuring that performance is maintained even as data volumes grow.
:
Snowflake Documentation: Introduction to Snowpark
Snowflake Documentation: Virtual Warehouses
NEW QUESTION # 698
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