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| Section | Weight | Objectives |
|---|---|---|
| Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Stored procedures and UDFs - Clustering and micro-partitions - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Column types and sequences |
| Security & Access Control | 10% | - Governance best practices - Row-level and column-level security - Authentication (SSO, MFA) - Authorization (roles, privileges) - Masking policies |
| Data Loading & Unloading | 15% | - Data unloading and staging - Data ingestion best practices - Bulk loading with COPY command - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse sizing and scaling - Warehouse creation and configuration - Warehouse monitoring and troubleshooting - Multi-cluster warehouses |
| Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - Array and object operations - VARIANT data type |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Time travel concepts and retention - UNDROP and historical data access - Fail-safe concepts |
| Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
| Data Sharing | 12% | - Shares and reader accounts - Private sharing vs. Data Exchange - Data listing marketplace - Reader account management |
| Account Objects | 8% | - Resource monitors - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy |
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NEW QUESTION # 35
Which table function is used to perform additional processing on the results of a previously-run query?
Answer: A
Explanation:
TheRESULT_SCANtable function is used in Snowflake to perform additional processing on the results of a previously-run query. It allows users to reference the result set of a previous query by its query ID, enabling further analysis or transformations without re-executing the original query.
Snowflake Documentation: RESULT_SCAN
NEW QUESTION # 36
What is the minimum Snowflake edition needed for database failover and fail-back between Snowflake accounts for business continuity and disaster recovery?
Answer: D
Explanation:
The minimum Snowflake edition required for database failover and fail-back between Snowflake accounts for business continuity and disaster recovery is the Business Critical edition. References: Snowflake Documentation3.
NEW QUESTION # 37
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?
Answer: D
Explanation:
The STRIP_OUTER_ARRAY file format option in Snowflake is used when loading JSON documents that are composed of a large array containing multiple records. When this option is enabled, it removes the outer array structure, which allows each record within the array to be loaded as a separate row in the table.This is particularly useful for efficiently loading JSON data that is structured as an array of records1.
References:
Snowflake Documentation on JSON File Format
[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 38
What causes objects in a data share to become unavailable to a consumer account?
Answer: C
Explanation:
Objects in a data share become unavailable to a consumer account if the objects in the data share are deleted or if the permissions on these objects are altered without re-applying the grant permissions systematically.
This is because the sharing mechanism in Snowflake relies on explicit grants of permissions on specific objects (like tables, views, or secure views) to the share. If these objects are deleted or if their permissions change without updating the share accordingly, consumers can lose access.
TheDATA_RETENTION_TIME_IN_DAYSparameter does not directly affect the availability of shared objects, as it controls how long Snowflake retains historical data for time travel and does not impact data sharing permissions.
Running theGRANT IMPORTED PRIVILEGEScommand in the consumer account is not related to the availability of shared objects; this command is used to grant privileges on imported objects within the consumer ' s account and is not a routine maintenance command that would need to be run regularly.
Acquiring a data share through a private data exchange does not inherently make objects unavailable; issues would only arise if there were problems with the share configuration or if the shared objects were deleted or had their permissions altered without re-granting access to the share.
Reference: Snowflake Documentation on Managing Access to Shared Data (https://docs.snowflake.com/en
/user-guide/data-sharing-consuming.html#managing-access-to-shared-data)
NEW QUESTION # 39
Which Snowflake data type is used to store JSON key value pairs?
Answer: B
Explanation:
The VARIANT data type in Snowflake is used to store JSON key-value pairs along with other semi-structured data formats like AVRO, BSON, and XML. The VARIANT data type allows for flexible and dynamic data structures within a single column, accommodating complex and nested data. This data type is crucial for handling semi-structured data in Snowflake, enabling users to perform SQL operations on JSON objects and arrays directly.
References:
Snowflake Documentation: Semi-structured Data Types
NEW QUESTION # 40
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