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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Sharing | 12% | - Private sharing vs. Data Exchange - Data listing marketplace - Shares and reader accounts - Reader account management |
| Topic 2: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
| Topic 3: Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - Array and object operations - VARIANT data type |
| Topic 4: Time Travel & Cloning | 10% | - Zero-copy cloning - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access |
| Topic 5: Security & Access Control | 10% | - Masking policies - Governance best practices - Row-level and column-level security - Authorization (roles, privileges) - Authentication (SSO, MFA) |
| Topic 6: Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Data ingestion best practices - Continuous loading with Snowpipe - Data unloading and staging - Bulk loading with COPY command |
| Topic 7: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 8: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Topic 9: Virtual Warehouses | 15% | - Warehouse sizing and scaling - Multi-cluster warehouses - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration |
| Topic 10: Databases, Tables & Views | 18% | - Column types and sequences - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Data manipulation (DML operations) - Clustering and micro-partitions - Stored procedures and UDFs |
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NEW QUESTION # 113
If 3 size Small virtual warehouse is made up of two servers, how many servers make up a Large warehouse?
Answer: B
Explanation:
In Snowflake, each size increase in virtual warehouses doubles the number of servers.Therefore, if a size Small virtual warehouse is made up of two servers, a Large warehouse, which is two sizes larger, would be made up of eight servers (2 servers for Small, 4 for Medium, and 8 for Large)2.
Size specifies the amount of compute resources available per cluster in a warehouse. Snowflake supports the following warehouse sizes:
https://docs.snowflake.com/en/user-guide/warehouses-overview.html
NEW QUESTION # 114
What can be shared when the SECURE_OBJECTS_ONLY property is set to FALSE?
Answer: B
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 # 115
Which query contains a Snowflake hosted file URL in a directory table for a stage named bronzestage?
Answer: D
Explanation:
The query that contains a Snowflake hosted file URL in a directory table for a stage named bronzestage is select * from directory(@bronzestage). This query retrieves a list of all files on the stage along with metadata, including the Snowflake file URL for each file3.
NEW QUESTION # 116
How can a transient table be converted to a permanent table?
Answer: B
Explanation:
The correct answer is B. Use the CREATE TABLE AS SELECT, or CTAS, command .
A transient table cannot be directly converted into a permanent table by changing a table property. To create a permanent version of the data, create a new permanent table from the transient table data.
Why B is correct:
A CREATE TABLE AS SELECT statement can create a new permanent table from the data in the transient table. Since permanent is the default table type unless otherwise specified, omitting TRANSIENT creates a permanent table.
Example:
CREATE TABLE permanent_table AS
SELECT *
FROM transient_table;
Why the other options are incorrect:
A). ALTER TABLE ... RENAME only changes the table name. It does not change table type.
C). ALTER TABLE ... SWAP WITH swaps table names and metadata between two existing tables, but it is not the method to convert a transient table into a permanent table.
D). CREATE TABLE ... CLONE preserves the source table type behavior in this context and is not the recommended answer for converting transient data into a permanent table.
Official Snowflake documentation reference:
Snowflake documentation explains that the table type cannot be changed after table creation. To change from transient to permanent, create a new permanent table and copy the data, such as with CTAS.
Reference: Snowflake Documentation - Transient tables; Snowflake Documentation - CREATE TABLE AS SELECT; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 117
User INQUISITIVE_PERSON has been granted the role DATA_SCIENCE. The role DATA_SCIENCE has privileges OWNERSHIP on the schema MARKETING of the database ANALYTICS_DW.
Which command will show all privileges granted to that schema?
Answer: D
Explanation:
To showall privileges granted to a specific schema, the command SHOW GRANTS ON SCHEMA < schema_name > should beused3. In this case, it would be SHOW GRANTS ON SCHEMA ANALYTICS_DW.MARKETING. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 118
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