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| Section | Objectives |
|---|---|
| Topic 1: Data Sharing and Protection | - Data replication and failover concepts - Secure data sharing |
| Topic 2: Data Transformation and Processing | - SQL operations in Snowflake - Streams and tasks for data pipelines |
| Topic 3: Data Loading and Unloading | - Bulk data loading using stages and COPY INTO - External and internal stages |
| Topic 4: Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
| Topic 5: Snowflake Architecture and Platform Concepts | - Storage and data organization - Snowflake architecture fundamentals - Virtual warehouses and compute model |
| Topic 6: Security and Access Control | - Role-based access control (RBAC) - Authentication and user management |
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NEW QUESTION # 80
Which queries can execute eligible portions in parallel by using the Query Acceleration Service? (Choose two.)
Answer: C,E
Explanation:
The Query Acceleration Service uses serverless compute resources to execute eligible portions of a query plan in parallel with the virtual warehouse. Snowflake identifies two primary eligible patterns:
large scans containing an aggregation or highly selective filter, and large scans that insert or copy many new rows. These patterns correspond directly to options B and E. Query acceleration is most useful for outlier queries with substantial scan work, unpredictable data volumes, or selective processing that can be divided across additional compute resources. Small scans generally do not contain enough parallelizable work to benefit. Complex joins on small tables are also not the primary eligibility pattern. Eligibility is determined at the query-plan level, so enabling the service does not guarantee that every submitted query will use it.
NEW QUESTION # 81
Which Snowflake objects can be shared with other Snowflake accounts? (Choose three.)
Answer: A,D,F
Explanation:
In Snowflake, you can share several types of objects with other Snowflake accounts. These include schemas, secure views, and secure user-defined functions (UDFs).Sharing these objects allows for collaboration and data access across different Snowflake accounts while maintaining security and governance controls4.
NEW QUESTION # 82
Which command should be used to load data from a file, located in an external stage, into a table in Snowflake?
Answer: C
Explanation:
The COPY command is used in Snowflake to load data from files located in an external stage into a table.This command allows for efficient and parallelized data loading from various file formats1.
References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
NEW QUESTION # 83
Which kind of Snowflake table stores file-level metadata for each file in a stage?
Answer: C
Explanation:
The kind of Snowflake table that stores file-level metadata for each file in a stage is a directory table.A directory table is an implicit object layered on a stage and stores file-level metadata about the data files in the stage3.
NEW QUESTION # 84
A user needs to implement a Slowly Changing Dimension Type 2 to track historical changes.
Which action will accomplish this?
Answer: B
Explanation:
A Type 2 Slowly Changing Dimension preserves history by expiring the currently active dimension record and inserting a new version whenever tracked attributes change. Snowflake recommends streams and tasks for this requirement because a stream records DML changes from the source or staging table, and a scheduled or triggered task can process those changes with a MERGE statement.
The MERGE can update the old row's end date or current-row flag and insert a replacement row with new effective dates. Dynamic tables represent a maintained current result and are not the preferred solution for Type 2 historical tracking. Time Travel and clones are recovery and historical-query features, while Snowpipe and materialized views do not implement the required record-versioning workflow.
NEW QUESTION # 85
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