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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace - Data Protection, Retention, Time Travel, Fail-safe |
| Topic 2: Data Loading, Unloading & Connectivity | 18% | - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL - Unloading Data, Export Options - Bulk Load, Streaming, Dynamic Tables |
| Topic 3: Snowflake Architecture & Core Concepts | 31% | - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Databases, Schemas, Objects, Data Types - Virtual Warehouses, Clustering, Caching |
| Topic 4: Account Management & Data Governance | 20% | - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption |
| Topic 5: Performance Optimization, Querying & Transformation | 21% | - Cortex AI, Notebooks, Apache Iceberg Tables - SQL Transformations, Semi-structured/Unstructured Data - Materialized Views, Streams, Tasks, Pipelines - Query Processing, Profiling, Optimization |
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NEW QUESTION # 1077
What type of account can be used to share data with a consumer who does have a Snowflake account?
Answer: B
Explanation:
A Reader account in Snowflake can be used to share data with a consumer who does not have a Snowflake account. Reader accounts are a type of shared account provided by data providers to external data consumers, allowing them to access and query shared data using Snowflake's web interface without needing their own Snowflake account.
References:
Snowflake Documentation: Reader Accounts
NEW QUESTION # 1078
True or False: It is possible for a user to run a query against the query result cache without requiring an active Warehouse.
Answer: B
Explanation:
Snowflake's architecture allows for the use of a query result cache that stores the results of queries for a period of time. If the same query is run again and the underlying data has not changed, Snowflake can retrieve the result from this cache without needing to re-run the query on an active warehouse, thus saving on compute resources.
NEW QUESTION # 1079
To switch between a Gen2 standard warehouse and a Snowpark-optimized warehouse, which warehouse object properties must be changed? Select TWO.
Answer: C,D
Explanation:
Snowflake warehouses can use different warehouse types and resource constraints. Snowpark-optimized warehouses use warehouse properties such as WAREHOUSE_TYPE and RESOURCE_CONSTRAINT to define the compute configuration.
Reference: Snowflake Documentation - Snowpark-optimized warehouses; CREATE WAREHOUSE; ALTER WAREHOUSE.
NEW QUESTION # 1080
Which Snowflake data governance feature supports resource usage monitoring?
Answer: D
NEW QUESTION # 1081
There is a long-running query that selects everything and runs arithmetic calculations on a few columns in a table that does not change often. Which action will improve the performance of this query?
Answer: C
Explanation:
A materialized view stores precomputed results and is useful when a query is repeated and the underlying table does not change often. Since the query runs calculations on a stable table, materializing the result can reduce repeated computation.
Reference: Snowflake Documentation - Materialized views; Query optimization.
NEW QUESTION # 1082
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