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| Section | Objectives |
|---|---|
| Snowflake Architecture and Platform Concepts | - Storage and data organization - Virtual warehouses and compute model - Snowflake architecture fundamentals |
| Data Sharing and Protection | - Data replication and failover concepts - Secure data sharing |
| Data Loading and Unloading | - External and internal stages - Bulk data loading using stages and COPY INTO |
| Data Transformation and Processing | - Streams and tasks for data pipelines - SQL operations in Snowflake |
| Security and Access Control | - Role-based access control (RBAC) - Authentication and user management |
| Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
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NEW QUESTION # 271
Which command should be used to load data from a local computer into Snowflake?
Answer: C
NEW QUESTION # 272
Which function should be used to access values from an object?
Answer: B
Explanation:
The correct answer is C. GET_PATH .
GET_PATH extracts a value from semi-structured data using a path expression. It can be used to access values inside an object, including nested values.
Why C is correct:
For an object stored in a VARIANT or OBJECT column, GET_PATH can retrieve a value by specifying the key path.
Example:
SELECT GET_PATH(src, ' customer.name ' )
FROM my_table;
This accesses the name value inside the customer object.
Why the other options are incorrect:
A). OBJECT_KEYS returns the keys from an object, not the values for a specific key path.
B). OBJECT_PICK returns a new object containing selected key-value pairs, but it is not the general function for accessing a value by path.
D). XMLGET is used for XML data, not general JSON-style object access.
Official Snowflake documentation reference:
Snowflake documentation describes GET_PATH as a function that extracts a value from semi-structured data using a path name.
Reference: Snowflake Documentation - GET_PATH; Querying semi-structured data; SnowPro Core Study Guide - Working with Semi-Structured Data.
==
NEW QUESTION # 273
What is one of the characteristics of data shares?
Answer: C
Explanation:
Data sharing in Snowflake allows for live, read-only access to data across different Snowflake accounts without the need to copy or transfer the data. One of the characteristics of data shares is the ability to use secure views. Secure views are used within data shares to restrict the access of shared data, ensuring that consumers can only see the data that the provider intends to share, thereby preserving privacy and security.
References:
Snowflake Documentation: Understanding Secure Views in Data Sharing
NEW QUESTION # 274
How often are the Account and Table master keys automatically rotated by Snowflake?
Answer: A
Explanation:
Snowflake automatically rotates the Account and Table master keys when they are more than 30 days old.Active keys are retired, and new keys are created, ensuring robust security through frequent key changes1
NEW QUESTION # 275
In the Snowflake access control model, which entity owns an object by default?
Answer: A
Explanation:
In Snowflake's access control model, the default owner of an object is the role that was used to create the object.This role has the OWNERSHIP privilege on the object and can grant access to other roles1
NEW QUESTION # 276
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