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| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization, Querying & Transformation | 21% | - SQL Transformations, Semi-structured/Unstructured Data - Materialized Views, Streams, Tasks, Pipelines - Query Processing, Profiling, Optimization - Cortex AI, Notebooks, Apache Iceberg Tables |
| Snowflake Architecture & Core Concepts | 31% | - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types |
| Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features |
| Account Management & Data Governance | 20% | - Governance: Resource Monitors, Data Masking, Row/Column Security - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance - Security: Network Policies, MFA, Encryption |
| Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe |
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NEW QUESTION # 461
What transformations are supported in a CREATE PIPE ... AS COPY ... FROM (....) statement? (Select TWO.)
Answer: A,E
Explanation:
In a CREATE PIPE ... AS COPY ... FROM (....)statement, the supported transformations include filtering data using an optional WHERE clause and omitting columns. The WHERE clause allows for the specification of conditions to filter the data that is being loaded, ensuring only relevant data is inserted into the table. Omitting columns enables the exclusion of certain columns from the data load, which can be useful when the incoming data contains more columns than are needed for the target table.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Simple Transformations During a Load1
NEW QUESTION # 462
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: D,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 # 463
If a multi-cluster warehouse is using an economy scaling policy, how long will queries wait in the queue before another cluster is started?
Answer: D
Explanation:
In a multi-cluster warehouse with an economy scaling policy, queries will wait in the queue for 2 minutes before another cluster is started. This is to minimize costs by allowing queries to queue up for a short period before adding additional compute resources. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 464
What are characteristic of Snowsight worksheet? (Select TWO.)
Answer: A,C
Explanation:
Characteristics of Snowsight worksheets in Snowflake include:
A . Worksheets can be grouped under folders, and a folder of folders: This organizational feature allows users to efficiently manage and categorize their worksheets within Snowsight, Snowflake's web-based UI, enhancing the user experience by keeping related worksheets together.
E . Users can import worksheets and share them with other users: Snowsight supports the sharing of worksheets among users, fostering collaboration by allowing users to share queries, analyses, and findings. This feature is crucial for collaborative data exploration and analysis workflows.
References:
Snowflake Documentation: Snowsight (UI for Snowflake)
NEW QUESTION # 465
What is the relationship between a Query Profile and a virtual warehouse?
Answer: B
Explanation:
A Query Profile provides detailed execution information for a query, which can be used to analyze the performance and behavior of queries. This information can help users optimize and right-size their virtual warehouses for better efficiency. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 466
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