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| Section | Weight | Objectives |
|---|---|---|
| Data Loading, Unloading & Connectivity | 18% | - Stages, File Formats, COPY INTO, Snowpipe - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL |
| Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace |
| Performance Optimization, Querying & Transformation | 21% | - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data |
| Account Management & Data Governance | 20% | - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance |
| Snowflake Architecture & Core Concepts | 31% | - Virtual Warehouses, Clustering, Caching - Snowsight Interface, Core Platform Features - Databases, Schemas, Objects, Data Types - Cloud Services Layer, Compute Layer, Storage Layer |
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NEW QUESTION # 208
Which database objects can be shared with the Snowflake secure data sharing feature? (Choose two.)
Answer: A,C
Explanation:
Snowflake's secure data sharing feature allows sharing of certain database objects with other Snowflake accounts.Among the options provided, external tables and secure UDFs can be shared
NEW QUESTION # 209
How can performance be optimized for a query that returns a small amount of data from a very large base table?
Answer: D
Explanation:
The search optimization service in Snowflake is designed to improve the performance of selective point lookup queries on large tables, which is ideal for scenarios where a query returns a small amount of data from a very large base table1. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 210
A virtual warehouse is created using the following command:
Create warehouse my_WH with
warehouse_size = MEDIUM
min_cluster_count = 1
max_cluster_count = 1
auto_suspend = 60
auto_resume = true;
The image below is a graphical representation of the warehouse utilization across two days.
What action should be taken to address this situation?
Answer: D
Explanation:
The graphical representation of warehouse utilization indicates periods of significant queuing, suggesting that the current single cluster cannot efficiently handle all incoming queries.Configuring the warehouse to a multi-cluster warehouse will distribute the load among multiple clusters, reducing queuing times and improving overall performance1.
References = Snowflake Documentation on Multi-cluster Warehouses1
NEW QUESTION # 211
Which Snowflake tool would be BEST to troubleshoot network connectivity?
Answer: B
Explanation:
SnowCD (Snowflake Connectivity Diagnostic Tool) is the best tool provided by Snowflake for troubleshooting network connectivity issues. It helps diagnose and resolve issues related to connecting to Snowflake services
https://docs.snowflake.com/en/user-guide/snowcd.html#:~:text=SnowCD%20(i.e.%20Snowflake%
20Connectivity%20Diagnostic,their%20network%20connection%20to%20Snowflake.
NEW QUESTION # 212
Which common query problems are identified by the Query Profile? (Select TWO.)
Answer: C,E
Explanation:
The Query Profile in Snowflake can identify common query problems, including:
B . Inefficient pruning: This refers to the inability of a query to effectively limit the amount of data being scanned, potentially leading to suboptimal performance.
D . Queries too large to fit in memory: This indicates that a query requires more memory than is available in the virtual warehouse, which can lead to spilling to disk and degraded performance.
The Query Profile helps diagnose these issues by providing detailed execution statistics and visualizations, aiding in query optimization and troubleshooting.
References:
Snowflake Documentation: Query Profile
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NEW QUESTION # 213
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