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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace |
| Topic 2: Account Management & Data Governance | 20% | - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance - Security: Network Policies, MFA, Encryption - Governance: Resource Monitors, Data Masking, Row/Column Security |
| Topic 3: Snowflake Architecture & Core Concepts | 31% | - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features - Databases, Schemas, Objects, Data Types - Virtual Warehouses, Clustering, Caching |
| Topic 4: 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 5: Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - Bulk Load, Streaming, Dynamic Tables - External Integrations, Connectors, SnowSQL - Stages, File Formats, COPY INTO, Snowpipe |
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NEW QUESTION # 960
A table is created with a column set to a data type of CHARACTER(25). If the table is viewed in the database section of Snowsight, what data type will be shown for the column?
Answer: C
Explanation:
The correct answer is C. VARCHAR(25) .
In Snowflake, CHAR, CHARACTER, STRING, and TEXT are synonyms for VARCHAR. Snowflake stores and displays these character string data types as VARCHAR.
Corrected typo:
Option D was written as CHARACTERS). The corrected option is CHARACTER(25) .
Why C is correct:
A column created as CHARACTER(25) is treated as VARCHAR(25) in Snowflake metadata and display output.
Why the other options are incorrect:
A). STRING is a synonym for VARCHAR, but Snowflake commonly displays the canonical type as VARCHAR.
B). TEXT is also a synonym for VARCHAR, but it is not the canonical display type.
D). CHARACTER is accepted when defining the column, but Snowflake displays it as VARCHAR.
Official Snowflake documentation reference:
Snowflake documentation explains that string data type synonyms such as CHAR, CHARACTER, STRING, and TEXT are equivalent to VARCHAR.
Reference: Snowflake Documentation - String and binary data types; SnowPro Core Study Guide - SQL and Snowflake Objects.
==
NEW QUESTION # 961
What are characteristics of Secure Data Sharing? Select TWO.
Answer: A,C
Explanation:
The correct answers are C. Data is not transferred between accounts and D. Consumer account will incur compute costs .
Important correction:
The provided answer A, B is not correct.
Secure Data Sharing allows data providers to share selected database objects with consumer accounts without copying or transferring the underlying data. Consumers query the shared data using their own virtual warehouses, so the consumer generally pays for the compute used to query the share.
Why C is correct:
With Secure Data Sharing, the provider's data remains in the provider account. Snowflake shares metadata and access, not a physical copy of the data.
Why D is correct:
Consumers use their own compute resources to query shared data. Therefore, the consumer account incurs compute costs when querying the share.
Why the other options are incorrect:
A). Regular, non-secure views generally cannot be shared in the standard secure sharing model. Views shared with consumers should be secure views, unless specific account-level settings allow non-secure objects. The general SnowPro Core concept is that secure views are used to share view logic safely.
B). Sensitive data is not automatically masked simply because data is shared. Masking policies or secure views must be designed and applied intentionally.
E). Reader accounts can query shared data but cannot edit the provider's source data.
Official Snowflake documentation reference:
Snowflake documentation explains that Secure Data Sharing does not copy or move data between accounts.
Consumers use their own warehouses to query shared data, while providers retain control of the shared objects.
Reference: Snowflake Documentation - Secure Data Sharing; Snowflake Documentation - Shares and consumer accounts; Snowflake Documentation - Secure views; SnowPro Core Study Guide - Data Protection and Governance.
NEW QUESTION # 962
How should clustering be used to optimize the performance of queries that run on a very large table?
Answer: A
Explanation:
For optimizing the performance of queries that run on a very large table, it is recommended to choose one high cardinality column as the clustering key.This helps to co-locate similar rows in the same micro-partitions, improving scan efficiency in queries by skipping data that does not match filtering predicates4.
References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 963
What does Snowflake recommend when planning virtual warehouse usage for a data load?
Answer: C
NEW QUESTION # 964
Which of the following is the Snowflake Account_Usage.Metering_History view used for?
Answer: B
Explanation:
The Snowflake Account_Usage.Metering_History view is used to gather the hourly credit usage for an account. This view provides details on the credits consumed by various services within Snowflake for the last
365 days1.
NEW QUESTION # 965
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