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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Architecture & Core Concepts | 31% | - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types |
| Topic 2: Performance Optimization, Querying & Transformation | 21% | - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables - SQL Transformations, Semi-structured/Unstructured Data - Query Processing, Profiling, Optimization |
| Topic 3: Data Collaboration & Protection | 10% | - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe |
| Topic 4: Account Management & Data Governance | 20% | - Trust Center, Data Lineage, Compliance - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Governance: Resource Monitors, Data Masking, Row/Column Security |
| Topic 5: Data Loading, Unloading & Connectivity | 18% | - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options |
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NEW QUESTION # 667
How can a row access policy be applied to a table or a view? (Choose two.)
Answer: C,D
Explanation:
A row access policy can be applied to a table or a view within the policy DDL when defining the policy.Additionally, an existing row access policy can be applied to a table or a view using the ALTER <object> ADD ROW ACCESS POLICY <policy> command
NEW QUESTION # 668
Which of the following describes the Snowflake Cloud Services layer?
Answer: A
Explanation:
The Snowflake Cloud Services layer coordinates activities within the Snowflake account. It is responsible for tasks such as authentication, infrastructure management, metadata management, query parsing and optimization, and access control. References: Based on general cloud database architecture knowledge.
NEW QUESTION # 669
A marketing co-worker has requested the ability to change a warehouse size on their medium virtual warehouse called mktg__WH.
Which of the following statements will accommodate this request?
Answer: A
Explanation:
The correct statement to accommodate the request for a marketing co-worker to change the size of their medium virtual warehouse called mktg__WH is to grant the MODIFY privilege on the warehouse to the ROLE MARKETING. This privilege allows the role to change the warehouse size among other properties.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Access Control Privileges1
NEW QUESTION # 670
Which feature or service should be used to identify data about a department that was responsible for a recent revenue shortfall?
Answer: D
Explanation:
Snowflake ML Functions include Top Insights, which performs key-driver analysis to explain why a business metric changed. It can compare groups or time periods and rank dimensions that contributed most strongly to a result. Snowflake documentation uses the example of identifying locations, salespeople, customers, verticals, and other factors responsible for a recent revenue shortfall. A department can be evaluated as one of those dimensions, allowing the analysis to identify which department contributed to the decline. Snowpark is a developer framework for processing data with languages such as Python, Java, and Scala. Snowpipe loads files continuously, while AI_EXTRACT extracts structured information from documents. Those features do not directly perform the requested driver analysis. Therefore, ML Functions is the correct answer.
NEW QUESTION # 671
What are streams used for in Snowflake?
Answer: B
Explanation:
The correct answer is B. To track DML changes that have been made to tables .
A stream is a Snowflake object used for change data capture. It records changes made to a source table so those changes can be consumed later by SQL logic, usually as part of an incremental processing pipeline.
Why B is correct:
Streams track DML changes such as:
INSERT
UPDATE
DELETE
They also expose metadata columns such as:
METADATA$ACTION
METADATA$ISUPDATE
METADATA$ROW_ID
These columns help identify the type of change and the affected row.
Why the other options are incorrect:
A). Tasks execute scheduled SQL and can be used to run data pipelines. Streams track the changes consumed by those pipelines.
C). File formats define how staged files are interpreted during loading or unloading. Streams are unrelated to file format definitions.
D). Caching is handled by Snowflake result cache and warehouse cache mechanisms, not by streams.
Official Snowflake documentation reference:
Snowflake documentation describes streams as objects that record DML changes made to tables, including inserts, updates, and deletes.
Reference: Snowflake Documentation - Streams; Snowflake Documentation - Change data capture; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 672
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