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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Loading, Unloading & Connectivity | 18% | - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL |
| Topic 2: Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace |
| Topic 3: Performance Optimization, Querying & Transformation | 21% | - Cortex AI, Notebooks, Apache Iceberg Tables - Materialized Views, Streams, Tasks, Pipelines - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data |
| Topic 4: Account Management & Data Governance | 20% | - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance - Governance: Resource Monitors, Data Masking, Row/Column Security |
| Topic 5: Snowflake Architecture & Core Concepts | 31% | - Databases, Schemas, Objects, Data Types - Virtual Warehouses, Clustering, Caching - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features |
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NEW QUESTION # 1175
Which Snowflake table type persists until it is explicitly dropped. is available for all users with relevant privileges (across sessions). and has no Fail-safe period?
Answer: B
Explanation:
The type of Snowflake table that persists until it is explicitly dropped, is available for all users with relevant privileges across sessions, and does not have a Fail-safe period, is a Transient table. Transient tables are designed to provide temporary storage similar to permanent tables but with some reduced storage costs and without the Fail-safe feature, which provides additional data protection for a period beyond the retention time. Transient tables are useful in scenarios where data needs to be temporarily stored for longer than a session but does not require the robust durability guarantees of permanent tables.
NEW QUESTION # 1176
Which operation can be performed on Snowflake external tables?
Answer: B
Explanation:
Snowflake external tables are read-only, which means data manipulation language (DML) operations like INSERT, RENAME, or ALTER cannot be performed on them.However, external tables can be used for query and join operations3.
References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 1177
Which function can be used to convert semi-structured data into rows and columns?
Answer: A
Explanation:
To convert semi-structured data into rows and columns in Snowflake, theFLATTENfunction is utilized.
FLATTEN Function: This function takes semi-structured data (e.g., JSON) and transforms it into a relational table format by breaking down nested structures into individual rows. This process is essential for querying and analyzing semi-structured data using standard SQL operations.
Example Usage:
SELECT
f.value:attribute1 AS attribute1,
f.value:attribute2 AS attribute2
FROM
my_table,
LATERAL FLATTEN(input = > my_table.semi_structured_column) f;
Snowflake Documentation on FLATTEN
NEW QUESTION # 1178
True or False: Fail-safe can be disabled within a Snowflake account.
Answer: B
Explanation:
Separate and distinct from Time Travel, Fail-safe ensures historical data is protected in the event of a system failure or other catastrophic event, e.g. a hardware failure or security breach. Fail-safe feature cannot be enabled or disabled from the user end.
NEW QUESTION # 1179
When sharing data among multiple Snowflake accounts, what charges are incurred by a data consumer when viewing shared data using their own account?
Answer: D
NEW QUESTION # 1180
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