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| Section | Weight | Objectives |
|---|---|---|
| Data Sharing | 12% | - Reader account management - Data listing marketplace - Private sharing vs. Data Exchange - Shares and reader accounts |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features - Virtual warehouse concepts and credit usage |
| Data Loading & Unloading | 15% | - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) - Bulk loading with COPY command - Data unloading and staging - Continuous loading with Snowpipe |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Fail-safe concepts - UNDROP and historical data access - Time travel concepts and retention |
| Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Stored procedures and UDFs - Column types and sequences - Data manipulation (DML operations) |
| Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query history and monitoring - Query profiling and performance tuning |
| Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting - Multi-cluster warehouses |
| Security & Access Control | 10% | - Masking policies - Row-level and column-level security - Authorization (roles, privileges) - Governance best practices - Authentication (SSO, MFA) |
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NEW QUESTION # 114
Which file function generates a SnowFlake-hosted URL that must be authenticated when used?
Answer: C
Explanation:
Purpose:TheBUILD_STAGE_FILE_URLfunction generates a temporary, pre-signed URL that allows you to access a file within a Snowflake stage (internal or external). This URL requires authentication to use.
Key Points:
Security: The URL has a limited lifespan, enhancing security.
Use Cases: Sharing staged data with external tools or applications, or downloading it directly.
Snowflake Documentation (BUILD_STAGE_FILE_URL): https://docs.snowflake.com/en/sql-reference
/functions/build_stage_file_url.html
NEW QUESTION # 115
In Snowpipe, what is the default behavior of the ON_ERROR copy option?
Answer: B
Explanation:
The correct answer is B. SKIP_FILE .
Important correction:
The provided answer A. CONTINUE is not correct for Snowpipe.
For regular bulk loading with COPY INTO < table > , the default ON_ERROR behavior is commonly associated with ABORT_STATEMENT. However, Snowpipe has different behavior. In Snowpipe, the default ON_ERROR option is SKIP_FILE .
Why B is correct:
With ON_ERROR = SKIP_FILE, if Snowpipe encounters an error while loading a file, the file is skipped instead of causing the entire continuous loading process to fail.
Why the other options are incorrect:
A). CONTINUE continues loading and skips individual error rows, but it is not the default Snowpipe behavior.
C). SKIP_FILE_ < num > skips a file after a specified number of errors, but it is not the default.
D). ABORT_STATEMENT is associated with standard COPY INTO < table > behavior, not the default Snowpipe behavior.
Official Snowflake documentation reference:
Snowflake documentation for Snowpipe explains that the default ON_ERROR copy option for Snowpipe is SKIP_FILE.
Reference: Snowflake Documentation - Snowpipe; Snowflake Documentation - CREATE PIPE; Snowflake Documentation - COPY INTO < table > copy options; SnowPro Core Study Guide - Data Loading and Unloading.
NEW QUESTION # 116
Which data types are supported by Snowflake when using semi-structured data? (Choose two.)
Answer: A,C
Explanation:
Snowflake supports the VARIANT and ARRAY data types for semi-structured data. VARIANT can store values of any other type, including OBJECT and ARRAY, making it suitable for semi-structured data formats like JSON.ARRAY is used to store an ordered list of elements
NEW QUESTION # 117
What are the results of the NULL_COUNT Data Metric Function, or DMF, used to verify?
Answer: A
Explanation:
The correct answer is D. The volume of the data .
The NULL_COUNT Data Metric Function returns the number of NULL values in a column. This type of metric is used to verify data quality by measuring the amount, or volume, of missing values.
Why D is correct:
NULL_COUNT counts how many rows contain NULL in a specified column. Since it produces a count, it is used to evaluate the volume of missing data.
Example concept:
SELECT SNOWFLAKE.CORE.NULL_COUNT(
SELECT column_name FROM my_table
);
This returns the number of NULL values found in the selected column.
Why the other options are incorrect:
A). Accuracy verifies whether data values are correct, but NULL_COUNT only counts missing values.
B). Uniqueness is verified with metrics that check duplicate or distinct values, not NULL_COUNT.
C). Freshness measures how current or recent the data is, not how many nulls exist.
Official Snowflake documentation reference:
Snowflake documentation describes NULL_COUNT as a system Data Metric Function that returns the number of NULL values in a column.
Reference: Snowflake Documentation - Data Metric Functions; Snowflake Documentation - SNOWFLAKE.CORE.NULL_COUNT; SnowPro Core Study Guide - Data Protection and Governance.
==
NEW QUESTION # 118
How can a user change which columns are referenced in a view?
Answer: B
Explanation:
In Snowflake, to change the columns referenced in a view, the view must be recreated with the required changes. The ALTER VIEW command does not allow changing the definition of a view; it can only be used to rename a view, convert it to or from a secure view, or add, overwrite, or remove a comment for a view.Therefore, the correct approach is to drop the existing view and create a new one with the desired column references.
NEW QUESTION # 119
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