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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Loading, Unloading & Connectivity | 18% | - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL |
| Topic 2: Performance Optimization, Querying & Transformation | 21% | - SQL Transformations, Semi-structured/Unstructured Data - Query Processing, Profiling, Optimization - Cortex AI, Notebooks, Apache Iceberg Tables - Materialized Views, Streams, Tasks, Pipelines |
| Topic 3: Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace |
| Topic 4: Account Management & Data Governance | 20% | - Access Control: RBAC, DAC, Roles, Privileges - Governance: Resource Monitors, Data Masking, Row/Column Security - Security: Network Policies, MFA, Encryption - Trust Center, Data Lineage, Compliance |
| Topic 5: Snowflake Architecture & Core Concepts | 31% | - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching - Snowsight Interface, Core Platform Features - Databases, Schemas, Objects, Data Types |
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NEW QUESTION # 1170
Which Snowflake object creates a materialized data result derived from two tables while automatically tracking data dependencies through a transformation pipeline?
Answer: A
Explanation:
A dynamic table stores the result of a query and refreshes that result automatically according to its target lag and refresh configuration. Snowflake tracks dependencies between dynamic tables and their source objects, allowing developers to build multi-level transformation pipelines without manually scheduling every dependency.
A dynamic table query can use data from multiple supported source tables.
A materialized view has more restrictive query-definition requirements and is not the general multi-table pipeline object intended by this question. A stream records change-tracking information for a source object but does not independently execute and maintain a multi-table transformation. A transient table is a table- storage type and does not automatically track or refresh transformation dependencies.
References:
Snowflake Documentation - Dynamic tables: https://docs.snowflake.com/en/user-guide/dynamic-tables- about Snowflake Documentation - Dynamic-table pipelines: https://docs.snowflake.com/en/user-guide/dynamic- tables-pipelines
==
NEW QUESTION # 1171
Which privilege is required for a user to be able to view a resource monitor?
Answer: D
NEW QUESTION # 1172
When using the COPY INTO < location > command, which parameter is used to unload table rows into separate files?
Answer: A
Explanation:
The correct answer is B. PARTITION BY .
The PARTITION BY option in COPY INTO < location > partitions unloaded data into separate files based on the expression specified. This is commonly used to organize unloaded files by values such as date, region, or another column.
Why B is correct:
PARTITION BY controls how unloaded rows are grouped into different output paths/files.
Example:
COPY INTO @my_stage/sales/
FROM sales
PARTITION BY (TO_DATE(sale_date))
FILE_FORMAT = (TYPE = CSV);
This unloads rows into separate output paths based on the sale_date expression.
Why the other options are incorrect:
A). DETAILED_OUTPUT controls the amount of unload result information returned by the command.
C). FILE_FORMAT controls the format of the unloaded files, such as CSV, JSON, or Parquet.
D). HEADER controls whether column headings are included in unloaded output files.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < location > describes PARTITION BY as the option used to partition unloaded rows into separate files based on an expression.
Reference: Snowflake Documentation - COPY INTO < location > ; Snowflake Documentation - Unloading data with partitioning; SnowPro Core Study Guide - Data Loading and Unloading.
==
NEW QUESTION # 1173
Which object can be used to query the data loading history for the last 365 days for a Snowflake account?
Answer: C
NEW QUESTION # 1174
When is the result set cache no longer available? (Select TWO)
Answer: A,C
Explanation:
The result set cache in Snowflake is invalidated and no longer available when the underlying data of the query results has changed, ensuring that queries return the most current data.Additionally, the cache expires after 24 hours to maintain the efficiency and accuracy of data retrieval1.
NEW QUESTION # 1175
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