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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Snowflake Architecture & Core Concepts | 31% | - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types |
| Topic 3: Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace |
| Topic 4: Data Loading, Unloading & Connectivity | 18% | - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL - Stages, File Formats, COPY INTO, Snowpipe |
| Topic 5: Performance Optimization, Querying & Transformation | 21% | - SQL Transformations, Semi-structured/Unstructured Data - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines |
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問題 #624
What calculation of metrics found in the QUERY_HISTORY view can be used to determine whether optimizing virtual warehouse caching will improve the performance of a long-running query?
答案：B
解題說明：
The useful calculation is based on BYTES_SCANNED and PERCENTAGE_SCANNED_FROM_CACHE.
These metrics help estimate how much scanned data came from the warehouse cache. A low cache percentage on a query that scans many bytes may indicate that warehouse cache optimization could help.
Corrected note: the original options had OCR errors. The best matching valid answer is B .
Reference: Snowflake Documentation - QUERY_HISTORY view; Warehouse cache; Query performance monitoring.
問題 #625
Which views are included in the data_sharing_usage schema? (Select TWO).
答案：C,E
解題說明：
https://docs.snowflake.com/en/sql-reference/data-sharing-usage
問題 #626
If a virtual warehouse is suspended, what happens to the warehouse cache?
答案：A
解題說明：
When a virtual warehouse in Snowflake is suspended, the cache is dropped and is no longer available upon restart. This means that all cached data, including results and temporary data, are cleared from memory. The purpose of this behavior is to conserve resources while the warehouse is not active. Upon restarting the warehouse, it will need to reload any data required for queries from storage, which may result in a slower initial performance until the cache is repopulated. This is a critical consideration for managing performance and cost in Snowflake.
問題 #627
How does the Access_History view enhance overall data governance pertaining to read and write operations?
(Select TWO).
答案：A,B
解題說明：
TheACCESS_HISTORYview in Snowflake is a powerful tool for enhancing data governance, especially concerning monitoring and auditing data access patterns for both read and write operations. The key ways in whichACCESS_HISTORYenhances overall data governance are:
B). Provides a unified picture of what data was accessed and when it was accessed:This view logs details about query executions, including the objects (tables, views) accessed and the timestamps of these accesses. It ' s instrumental in auditing and compliance scenarios, where understanding the access patterns to sensitive data is critical.
E). Determines whether a given row in a table can be accessed by the user by filtering the data based on a given policy:While this option is a bit of a misinterpretation of whatACCESS_HISTORYdirectly offers, it indirectly supports data governance by providing the information necessary to analyze access patterns. This analysis can then inform policy decisions, such as implementing Row-Level Security (RLS) to restrict access to specific rows based on user roles or attributes.
ACCESS_HISTORYdoes not automatically apply data masking or tag columns with personal information.
However, the insights derived from analyzingACCESS_HISTORYcan be used to identify sensitive data and inform the application of masking policies or other security measures.
References:
Snowflake Documentation onACCESS_HISTORY: Access History
問題 #628
Why is a federated environment used for user authentication in Snowflake?
答案：A
問題 #629
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