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| Section | Weight | Objectives |
|---|---|---|
| Data Loading & Unloading | 15% | - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Data unloading and staging - Bulk loading with COPY command |
| Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Clustering and micro-partitions - Column types and sequences - Table types (permanent, transient, temporary) - Views (standard, materialized, secure) - Stored procedures and UDFs |
| Data Sharing | 12% | - Private sharing vs. Data Exchange - Shares and reader accounts - Data listing marketplace - Reader account management |
| Time Travel & Cloning | 10% | - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access - Zero-copy cloning |
| Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling - Warehouse creation and configuration - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses |
| Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Security & Access Control | 10% | - Masking policies - Authorization (roles, privileges) - Row-level and column-level security - Governance best practices - Authentication (SSO, MFA) |
| Account Objects | 8% | - Organizations and accounts structure - Resource monitors - Warehouses, databases, and schemas hierarchy |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
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NEW QUESTION # 296
Which data sharing mechanism can be used to share data privately or publicly within the Snowflake Marketplace?
Answer: B
NEW QUESTION # 297
By default, which role has access to the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function?
Answer: A
Explanation:
By default, the ACCOUNTADMIN role in Snowflake has access to the SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function. This function is used to set global account parameters, impacting the entire Snowflake account's configuration and behavior. The ACCOUNTADMIN role is the highest-level administrative role in Snowflake, granting the necessary privileges to manage account settings and security features, including the use of global account parameters.
References:
Snowflake Documentation: SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER
NEW QUESTION # 298
Which Snowflake objects consume storage? (Select TWO)
Answer: D,E
NEW QUESTION # 299
Which copy option is used to include column headers when unloading data to Parquet files?
Answer: C
Explanation:
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.
==
NEW QUESTION # 300
Network policies can be set at which Snowflake levels? (Choose two.)
Answer: A,D
Explanation:
Network policies in Snowflake can be set at the user level and at the account level2.
NEW QUESTION # 301
......
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