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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Time Travel & Cloning | 10% | - UNDROP and historical data access - Zero-copy cloning - Time travel concepts and retention - Fail-safe concepts |
| Topic 2: Data Sharing | 12% | - Reader account management - Shares and reader accounts - Data listing marketplace - Private sharing vs. Data Exchange |
| Topic 3: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query history and monitoring - Query profiling and performance tuning |
| Topic 4: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Multi-cluster warehouses - Warehouse sizing and scaling - Warehouse creation and configuration |
| Topic 5: Account Objects | 8% | - Organizations and accounts structure - Resource monitors - Warehouses, databases, and schemas hierarchy |
| Topic 6: Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Topic 7: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage - Snowflake editions and features |
| Topic 8: Databases, Tables & Views | 18% | - Stored procedures and UDFs - Clustering and micro-partitions - Column types and sequences - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Data manipulation (DML operations) |
| Topic 9: Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Data ingestion best practices - Bulk loading with COPY command - Data unloading and staging - Continuous loading with Snowpipe |
| Topic 10: Security & Access Control | 10% | - Authentication (SSO, MFA) - Governance best practices - Row-level and column-level security - Authorization (roles, privileges) - Masking policies |
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NEW QUESTION # 141
What are key characteristics of virtual warehouses in Snowflake? (Select TWO).
Answer: D,E
Explanation:
Virtual warehouses in Snowflake can be started and stopped at any time, providing flexibility in managing compute resourcesThey can also be resized at any time, even while running, to accommodate varying workloads910. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 142
Which queries will require a running virtual warehouse? (Select TWO).
Answer: D,E
NEW QUESTION # 143
In the Data Exchange, who can get or request data from the listings? (Select TWO).
Answer: A,C
Explanation:
In the Snowflake Data Exchange, the ability to get or request data from listings is generally controlled by specific roles and privileges:
A . Users with ACCOUNTADMIN role: This role typically has the highest level of access within a Snowflake account, including the ability to manage and access all features and functions. Users with this role can access data listings within the Data Exchange.
D . Users with import share privilege: This specific privilege is necessary for users who need to import shared data from the Data Exchange. This privilege allows them to request and access data listings explicitly shared with them.
NEW QUESTION # 144
The Snowflake Cloud Data Platform is described as having which of the following architectures?
Answer: A
Explanation:
Snowflake's architecture is described as a multi-cluster, shared data architecture.This design combines the simplicity of a shared-disk architecture with the performance and scale-out benefits of a shared-nothing architecture, using a central repository accessible from all compute nodes2.
References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
NEW QUESTION # 145
What is the recommended use for the COPY INTO < location > SINGLE = TRUE command?
Answer: D
Explanation:
The correct answer is D. To unload a single file from a table into a stage .
The COPY INTO < location > command is used to unload data from Snowflake to a stage. When the SINGLE = TRUE option is included, Snowflake attempts to unload the query or table result into a single output file instead of multiple files.
Why D is correct:
SINGLE = TRUE is specifically an unload option for COPY INTO < location > . It is useful when a downstream process expects one output file.
Example:
COPY INTO @my_stage/export/customers.csv
FROM customers
FILE_FORMAT = (TYPE = CSV)
SINGLE = TRUE;
Why the other options are incorrect:
A). Preventing duplicate loads is handled by Snowflake load metadata and the FORCE option, not SINGLE = TRUE.
B). Loading an individual file is done with COPY INTO < table > and a file path or the FILES option, not COPY INTO < location > SINGLE = TRUE.
C). "Parse the results into single stages" is not a Snowflake unload concept.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < location > describes SINGLE as the option that specifies whether to generate a single file or multiple files when unloading data.
Reference: Snowflake Documentation - COPY INTO < location > ; Snowflake Documentation - Unloading data from Snowflake; SnowPro Core Study Guide - Data Loading and Unloading.
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NEW QUESTION # 146
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