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| Section | Weight | Objectives |
|---|---|---|
| Snowflake Architecture & Core Concepts | 31% | - Databases, Schemas, Objects, Data Types - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching - Snowsight Interface, Core Platform Features |
| Performance Optimization, Querying & Transformation | 21% | - SQL Transformations, Semi-structured/Unstructured Data - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization |
| Account Management & Data Governance | 20% | - Access Control: RBAC, DAC, Roles, Privileges - Governance: Resource Monitors, Data Masking, Row/Column Security - Security: Network Policies, MFA, Encryption - Trust Center, Data Lineage, Compliance |
| Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe |
| Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace |
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NEW QUESTION # 1134
What happens when a database is cloned?
Answer: C
Explanation:
When a database is cloned in Snowflake, it does not retain any privileges that were granted on the source object. The clone will need to have privileges reassigned as necessary for users to access it. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 1135
Which DDL/DML operation is allowed on an inbound data share?
Answer: A
Explanation:
In Snowflake, an inbound data share refers to the data shared with an account by another account. The only DDL/DML operation allowed on an inbound data share is SELECT. This restriction ensures that the shared data remains read-only for the consuming account, maintaining the integrity and ownership of the data by the sharing account.
References:
Snowflake Documentation: Using Data Shares
NEW QUESTION # 1136
Which function is used to unload a relational table into a JSON file*?
Answer: C
Explanation:
The TO_JSON function in Snowflake is used to convert a relational table or individual rows into JSON format. This function is helpful for exporting data in JSON format.
Using TO_JSON Function:
SELECT TO_JSON(OBJECT_CONSTRUCT(*))
FROM my_table;
Exporting Data: The TO_JSON function converts the table rows into JSON format, which can then be exported to a file.
References:
Snowflake Documentation: TO_JSON Function
Snowflake Documentation: Exporting Data
NEW QUESTION # 1137
A JSON file, that contains lots of dates and arrays, needs to be processed in Snowflake. The user wants to ensure optimal performance while querying the data.
How can this be achieved?
Answer: C
Explanation:
Storing JSON data in a table with a VARIANT data type is optimal for querying because it allows Snowflake to leverage its semi-structured data capabilities.This approach enables efficient storage and querying without the need for flattening the data, which can be performance-intensive1.
NEW QUESTION # 1138
What occurs when a pipe is recreated using the CREATE OR REPLACE PIPE command?
Answer: D
Explanation:
When a pipe is recreated using the CREATE OR REPLACE PIPE command, the load history of the pipe is reset.This means that Snowpipe will consider all files in the stage as new and will attempt to load them, even if they were loaded previously by the old pipe2.
NEW QUESTION # 1139
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