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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Management & Data Governance | 20% | - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption |
| Topic 2: Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - Bulk Load, Streaming, Dynamic Tables - External Integrations, Connectors, SnowSQL - Stages, File Formats, COPY INTO, Snowpipe |
| Topic 3: Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features |
| Topic 4: Performance Optimization, Querying & Transformation | 21% | - SQL Transformations, Semi-structured/Unstructured Data - Query Processing, Profiling, Optimization - Cortex AI, Notebooks, Apache Iceberg Tables - Materialized Views, Streams, Tasks, Pipelines |
| Topic 5: Snowflake Architecture & Core Concepts | 31% | - Databases, Schemas, Objects, Data Types - Virtual Warehouses, Clustering, Caching - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features |
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NEW QUESTION # 1074
What is the MINIMUM edition of Snowflake that is required to use a SCIM security integration?
Answer: B
Explanation:
The minimum edition of Snowflake required to use a SCIM security integration is the Enterprise Edition.
SCIM integrations are used for automated management of user identities and groups, and this feature is available starting from the Enterprise Edition of Snowflake. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 1075
A user has unloaded data from a Snowflake table to an external stage.
Which command can be used to verify if data has been uploaded to the external stage named my_stage?
Answer: C
Explanation:
The list @my_stage command in Snowflake can be used to verify if data has been uploaded to an external stage namedmy_stage.This command provides a list of files that are present in the specified stage2.
NEW QUESTION # 1076
Which services does the Snowflake Cloud Services layer manage? (Select TWO).
Answer: C,E
Explanation:
The Snowflake Cloud Services layer manages a variety of services that are crucial for the operation of the Snowflake platform. Among these services, Authentication and Metadata management are key components.
Authentication is essential for controlling access to the Snowflake environment, ensuring that only authorized users can perform actions within the platform. Metadata management involves handling all the metadata related to objects within Snowflake, such as tables, views, and databases, which is vital for the organization and retrieval of data.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation12
https://docs.snowflake.com/en/user-guide/intro-key-concepts.html
NEW QUESTION # 1077
When is a DataFrame processed in Snowpark?
Answer: D
Explanation:
The correct answer is B. When a collect() action is triggered .
Snowpark DataFrames are evaluated lazily. Creating a DataFrame or applying transformations does not immediately execute the query in Snowflake. Execution happens only when an action is called.
Why B is correct:
collect() is an action. When it is called, Snowpark sends the accumulated DataFrame logic to Snowflake for execution and returns the results to the client.
Example:
df = session.table( " CUSTOMERS " )
filtered_df = df.filter(df[ " REGION " ] == " WEST " )
# Query is processed when this action runs:
rows = filtered_df.collect()
Why the other options are incorrect:
A). Creating a DataFrame builds a logical plan but does not process the data.
C). Warehouse memory availability is not what triggers DataFrame execution.
D). Applying a transformation adds to the logical plan, but it does not execute the plan.
Official Snowflake documentation reference:
Snowflake documentation describes Snowpark DataFrames as lazily evaluated. Transformations are not executed until an action, such as collect(), is called.
Reference: Snowflake Documentation - Snowpark DataFrames; Snowflake Documentation - Snowpark actions and transformations; SnowPro Core Study Guide - SQL and Snowflake Objects.
==
NEW QUESTION # 1078
A user is setting up Snowpipe automation to load data from an Amazon S3 bucket into Snowflake. The user wants Snowflake to automatically start loading files as soon as new ones are added to the bucket. Which steps are required to configure this automation using cloud messaging? Select TWO.
Answer: B,E
Explanation:
For Snowpipe auto-ingest on Amazon S3, cloud event notifications are configured so Snowflake is notified when new files arrive. The pipe must also be created with AUTO_INGEST = TRUE.
Why A and D are correct:
Amazon S3 event notifications can publish file arrival events through Amazon SNS/SQS integration, and Snowpipe uses those notifications when AUTO_INGEST is enabled.
Reference: Snowflake Documentation - Snowpipe auto-ingest on Amazon S3; CREATE PIPE.
NEW QUESTION # 1079
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