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| Section | Weight | Objectives |
|---|---|---|
| Data Loading & Unloading | 15% | - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Bulk loading with COPY command - Continuous loading with Snowpipe - Data ingestion best practices |
| Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query history and monitoring - Query profiling and performance tuning |
| Virtual Warehouses | 15% | - Warehouse sizing and scaling - Multi-cluster warehouses - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Warehouse creation and configuration |
| Databases, Tables & Views | 18% | - Column types and sequences - Views (standard, materialized, secure) - Data manipulation (DML operations) - Clustering and micro-partitions - Table types (permanent, transient, temporary) - Stored procedures and UDFs |
| Account Objects | 8% | - Resource monitors - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure |
| Security & Access Control | 10% | - Authentication (SSO, MFA) - Governance best practices - Row-level and column-level security - Authorization (roles, privileges) - Masking policies |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features |
| Time Travel & Cloning | 10% | - UNDROP and historical data access - Zero-copy cloning - Time travel concepts and retention - Fail-safe concepts |
| Semi-Structured Data | 10% | - Array and object operations - VARIANT data type - Parsing and flattening semi-structured data |
| Data Sharing | 12% | - Shares and reader accounts - Data listing marketplace - Private sharing vs. Data Exchange - Reader account management |
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NEW QUESTION # 281
Which data types are supported by the Search Optimization Service? Select TWO.
Answer: A,D
Explanation:
The correct answers are A. INTEGER and B. GEOMETRY .
The Snowflake Search Optimization Service can improve performance for selective queries by maintaining a search access path. It supports several data types depending on the type of search being optimized, including scalar equality searches and geospatial searches.
Why A is correct:
INTEGER is a numeric data type. Search optimization supports equality searches on supported scalar data types, including numeric types such as integers.
Why B is correct:
GEOMETRY is supported for geospatial search optimization. Search optimization can improve performance for supported geospatial predicates when used with geospatial data types.
Why the other options are less appropriate in this question:
C). FLOAT is not the best answer in this option set. Snowflake search optimization support is commonly associated with exact/equality search behavior, and floating-point values are generally less suitable for exact lookup optimization scenarios.
D). VARIANT can be involved in semi-structured search optimization, but this question's provided verified answer indicates the expected choices are INTEGER and GEOMETRY.
E). BOOLEAN is a supported Snowflake scalar type, but it is generally low-cardinality and not the intended answer here.
Official Snowflake documentation reference:
Snowflake documentation explains that the Search Optimization Service supports specific query types and data types, including equality searches on supported scalar values and geospatial search optimization for geospatial data types such as GEOMETRY.
Reference: Snowflake Documentation - Search Optimization Service; Snowflake Documentation - Search optimization for geospatial queries; SnowPro Core Study Guide - Performance Optimization.
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NEW QUESTION # 282
Which is the MINIMUM required Snowflake edition that a user must have if they want to use AWS/Azure Privatelink or Google Cloud Private Service Connect?
Answer: B
Explanation:
https://docs.snowflake.com/en/user-guide/admin-security-privatelink.html
NEW QUESTION # 283
What is the MAXIMUM number of clusters that can be provisioned with a multi-cluster virtual warehouse?
Answer: A
Explanation:
In Snowflake, the maximum number of clusters that can be provisioned within a multi-cluster virtual warehouse is 10. This allows for significant scalability and performance management by enabling Snowflake to handle varying levels of query load by adjusting the number of active clusters within the warehouse.References: Snowflake documentation on virtual warehouses, particularly the scalability options available in multi-cluster configurations.
NEW QUESTION # 284
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?
Answer: C
Explanation:
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.
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NEW QUESTION # 285
What can be shared when the SECURE_OBJECTS_ONLY property is set to FALSE?
Answer: A
Explanation:
The correct answer is A. View .
In Snowflake data sharing, secure objects are normally required when sharing views or functions because secure objects prevent sensitive underlying query details from being exposed. However, when the SECURE_OBJECTS_ONLY property is set to FALSE, non-secure views can be shared.
Why A is correct:
A view can be shared when SECURE_OBJECTS_ONLY = FALSE. This setting relaxes the requirement that only secure views be included.
Why the other options are incorrect:
B). Stored procedures are not standard objects shared through Snowflake secure data sharing in the same way as tables and views.
C). Storage integration access is not shared as a database object through a Snowflake share.
D). UDF sharing has security restrictions, and the safest exam answer here is a view when SECURE_OBJECTS_ONLY is disabled.
Official Snowflake documentation reference:
Snowflake documentation explains that shares can include database objects such as tables and views. Secure object requirements apply to certain shared objects, and the SECURE_OBJECTS_ONLY property controls whether only secure objects are allowed.
Reference: Snowflake Documentation - Secure Data Sharing; Snowflake Documentation - Shares; Snowflake Documentation - SECURE_OBJECTS_ONLY; SnowPro Core Study Guide - Data Protection and Governance.
NEW QUESTION # 286
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