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| Section | Weight | Objectives |
|---|---|---|
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Data Loading & Unloading | 15% | - Bulk loading with COPY command - Data ingestion best practices - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe |
| Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Column types and sequences - Stored procedures and UDFs - Clustering and micro-partitions - Data manipulation (DML operations) |
| Data Sharing | 12% | - Reader account management - Private sharing vs. Data Exchange - Shares and reader accounts - Data listing marketplace |
| Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Security & Access Control | 10% | - Authorization (roles, privileges) - Row-level and column-level security - Governance best practices - Masking policies - Authentication (SSO, MFA) |
| Time Travel & Cloning | 10% | - Fail-safe concepts - UNDROP and historical data access - Zero-copy cloning - Time travel concepts and retention |
| Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - Array and object operations - VARIANT data type |
| Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query history and monitoring - Query profiling and performance tuning |
| Virtual Warehouses | 15% | - Warehouse creation and configuration - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses |
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質問 # 126
Which view will show the MOST recent information about table-level storage utilization?
正解：D
質問 # 127
Which virtual warehouse configuration requires the maximum number of clusters to be equal to the minimum number of clusters?
正解：B
質問 # 128
Which copy option is used to include column headers when unloading data to Parquet files?
正解：C
解説：
The correct answer is C. HEADER = TRUE .
When unloading data with the COPY INTO < location > command, the HEADER option specifies whether column names should be included in the output file.
Why C is correct:
HEADER = TRUE includes column headings in the unloaded file output.
Example:
COPY INTO @my_stage/output/
FROM my_table
FILE_FORMAT = (TYPE = PARQUET)
HEADER = TRUE;
Important note for exam review:
For CSV unloads, HEADER = TRUE includes column names in the first row. For Parquet unloads, Snowflake can use column names in the Parquet output metadata/schema when the header option is enabled.
Why the other options are incorrect:
A). PARSE_HEADER is a file format option used when loading CSV data with inferred column names. It is not the unload option for including headers.
B). SKIP_HEADER is used when loading files to skip header rows. It does not include headers during unloading.
D). This syntax is not the correct Snowflake unload option for column headers.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < location > describes the HEADER option as specifying whether to include table column headings in the output files.
Reference: Snowflake Documentation - COPY INTO < location > ; Snowflake Documentation - Unloading data; SnowPro Core Study Guide - Data Loading and Unloading.
質問 # 129
Which data type can store more than one type of data structure?
正解：C
解説：
The VARIANT data type in Snowflake can store multiple types of data structures, as it is designed to hold semi-structured data.It can contain any other data type, including OBJECT and ARRAY, which allows it to represent various data structures
質問 # 130
Which Snowflake object contains all the information required to share a database?
正解：A
解説：
In Snowflake, a Share is the object that contains all the information required to share a database with other Snowflake accounts. Shares are used to securely share data stored in Snowflake tables and views, enabling data providers to grant data consumers access to their datasets without duplicating data. When a database is shared, it can include one or more schemas, and each schema can contain tables, views, or both.
References:
Snowflake Documentation on Shares: Shares
質問 # 131
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