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| Section | Weight | Objectives |
|---|---|---|
| Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables |
| 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 Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features |
| Account Management & Data Governance | 20% | - Security: Network Policies, MFA, Encryption - Trust Center, Data Lineage, Compliance - Access Control: RBAC, DAC, Roles, Privileges - Governance: Resource Monitors, Data Masking, Row/Column Security |
| 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 # 1161
If a table was dropped and the DATA_RETENTION_TIME_IN_DAYS was set to 0, how can the data from the table be recovered?
Answer: A
Explanation:
The correct answer is B. By creating a Snowflake Support ticket .
If DATA_RETENTION_TIME_IN_DAYS = 0, Time Travel retention is disabled for the table. This means the table cannot be recovered using normal Time Travel operations such as UNDROP TABLE or CLONE ...
BEFORE.
Why B is correct:
After Time Travel retention is unavailable, recovery may only be possible through Snowflake Fail-safe for permanent tables. Fail-safe is not directly accessible by users. Recovery from Fail-safe requires contacting Snowflake Support.
Important qualification:
This assumes the dropped table is a permanent table and the data is still within Fail-safe. Temporary and transient tables do not have Fail-safe, so they cannot be recovered this way.
Why the other options are incorrect:
A). A failover group is used for replication and disaster recovery across accounts or regions. It does not recover a dropped table with no Time Travel retention.
C). UNDROP TABLE relies on Time Travel retention. With retention set to 0, this is not available.
D). CLONE ... BEFORE also relies on Time Travel. It cannot recover data when no retention period exists.
Official Snowflake documentation reference:
Snowflake documentation explains that Time Travel enables users to restore dropped objects within the retention period. Fail-safe is a separate recovery mechanism for permanent tables and is only available through Snowflake Support.
Reference: Snowflake Documentation - Time Travel; Fail-safe; UNDROP TABLE; SnowPro Core Study Guide - Data Protection and Governance.
NEW QUESTION # 1162
Which data type can be used to store geospatial data in Snowflake?
Answer: B
Explanation:
Snowflake supports two geospatial data types:GEOGRAPHY and GEOMETRY. The GEOGRAPHY data type is used to store geospatial data that models the Earth as a perfect sphere, which is suitable for global geospatial data. This data type follows the WGS 84 standard and is used for storing points, lines, and polygons on the Earth's surface. The GEOMETRY data type, on the other hand, represents features in a planar (Euclidean, Cartesian) coordinate system and is typically used for local spatial reference systems.Since the question specifically asks about geospatial data, which commonly refers to Earth-related spatial data, the correct answer isGEOGRAPHY3.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 1163
When reviewing a query profile, what is a symptom that a query is too large to fit into the memory?
Answer: A
Explanation:
When a query in Snowflake is too large to fit into the available memory, it will start spilling to remote storage. This is an indication that the memory allocated for the query is insufficient for its execution, and as a result, Snowflake uses remote disk storage to handle the overflow. This spill to remote storage can lead to slower query performance due to the additional I/O operations required.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Query Profile1
Snowpro Core Certification Exam Flashcards2
NEW QUESTION # 1164
What features does Snowflake Time Travel enable?
Answer: A,D
Explanation:
Snowflake Time Travel is a powerful feature that allows users to access historical data within a defined period. It enables two key capabilities:
B . Restoring data-related objects that have been deleted within the past 90 days: Time Travel can be used to restore tables, schemas, and databases that have been accidentally or intentionally deleted within the Time Travel retention period.
C . Conducting point-in-time analysis for BI reporting: It allows users to query historical data as it appeared at a specific point in time within the Time Travel retention period, which is crucial for business intelligence and reporting purposes.
While Time Travel does allow querying of past data, it is limited to the retention period set for the Snowflake account, which is typically 1 day for standard accounts and can be extended up to 90 days for enterprise accounts. It does not enable querying or restoring objects created or deleted beyond the retention period, nor does it provide analysis over all periods of time.
References:
Snowflake Documentation on Time Travel
SnowPro Core Certification Study Guide
NEW QUESTION # 1165
A Snowflake Practitioner manages a database called SALES_DB. This database has a PUBLIC schema and an ORDERS table that is updated frequently. The database has a data retention period of 7 days. On November 16, 2025, at 3:00 PM, the Practitioner accidentally ran a DELETE command that removed all records from the ORDERS table. Which statement will recover all deleted records?
Answer: B
Explanation:
To recover data deleted at 3:00 PM, the clone should be created from a point immediately before the delete statement. BEFORE (TIMESTAMP = > ' 2025-11-16 15:00:00 ' ) returns the table state before that timestamp.
Why B is correct:
Snowflake Time Travel supports cloning a table at or before a specific timestamp within the retention period.
Reference: Snowflake Documentation - Time Travel; CREATE TABLE ... CLONE; AT | BEFORE.
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NEW QUESTION # 1166
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