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| Section | Weight | Objectives |
|---|---|---|
| Snowflake Architecture & Core Concepts | 31% | - Cloud Services Layer, Compute Layer, Storage Layer - Databases, Schemas, Objects, Data Types - Snowsight Interface, Core Platform Features - Virtual Warehouses, Clustering, Caching |
| Data Collaboration & Protection | 10% | - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe |
| 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 |
| Performance Optimization, Querying & Transformation | 21% | - Materialized Views, Streams, Tasks, Pipelines - SQL Transformations, Semi-structured/Unstructured Data - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization |
| Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL |
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NEW QUESTION # 508
Where is Snowflake metadata stored?
Answer: A
Explanation:
Snowflake's architecture is divided into three layers: database storage, query processing, and cloud services. The metadata, which includes information about the structure of the data, the SQL operations performed, and the service-level policies, is stored in the cloud services layer. This layer acts as the brain of the Snowflake environment, managing metadata, query optimization, and transaction coordination.
NEW QUESTION # 509
What objects can be cloned within Snowflake? (Select TWO).
Answer: A,E
Explanation:
In Snowflake,cloningis available for certain types of objects, allowing quick duplication without copying data:
Schemas: These can be cloned, enabling users to replicate entire schema structures, including tables and views, for development or testing.
Internal named stages: These stages, used to store data files within Snowflake, can also be cloned, preserving configurations for data loading.
Users and external objects (like external stages or tables) cannot be cloned due to their dependency on external data and configurations outside Snowflake.
NEW QUESTION # 510
What is the SNOWFLAKE.ACCOUNT_USAGE view that contains information about which objects were read by queries within the last 365 days (1 year)?
Answer: D
Explanation:
The ACCESS_HISTORY view in the SNOWFLAKE.ACCOUNT_USAGE schema contains information about the access history of Snowflake objects, such as tables and views, within the last 365 days1.
NEW QUESTION # 511
Which Snowflake feature enables loading data from cloud storage as soon as files are available in a stage?
Answer: C
NEW QUESTION # 512
Which of the following are best practice recommendations that should be considered when loading data into Snowflake? (Select TWO).
Answer: D,E
Explanation:
When loading data into Snowflake, it is recommended to:
C . Load files that are approximately 100-250 MB (or larger): This size is optimal for parallel processing and can help to maximize throughput. Smaller files can lead to overhead that outweighs the actual data processing time.
D . Avoid using embedded characters such as commas for numeric data types: Embedded characters can cause issues during data loading as they may be interpreted incorrectly. It's best to clean the data of such characters to ensure accurate and efficient data loading.
These best practices are designed to optimize the data loading process, ensuring that data is loaded quickly and accurately into Snowflake.
References:
Snowflake Documentation on Data Loading Considerations
[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 513
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