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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Sharing | 12% | - Shares and reader accounts - Reader account management - Data listing marketplace - Private sharing vs. Data Exchange |
| Topic 2: Databases, Tables & Views | 18% | - Data manipulation (DML operations) - Views (standard, materialized, secure) - Column types and sequences - Table types (permanent, transient, temporary) - Stored procedures and UDFs - Clustering and micro-partitions |
| Topic 3: Time Travel & Cloning | 10% | - Zero-copy cloning - UNDROP and historical data access - Time travel concepts and retention - Fail-safe concepts |
| Topic 4: Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Topic 5: Security & Access Control | 10% | - Authorization (roles, privileges) - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) - Governance best practices |
| Topic 6: Account Objects | 8% | - Organizations and accounts structure - Resource monitors - Warehouses, databases, and schemas hierarchy |
| Topic 7: Virtual Warehouses | 15% | - Warehouse creation and configuration - Multi-cluster warehouses - Warehouse sizing and scaling - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting |
| Topic 8: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
| Topic 9: Data Loading & Unloading | 15% | - Bulk loading with COPY command - Data unloading and staging - Continuous loading with Snowpipe - File formats (JSON, CSV, Parquet, AVRO) - Data ingestion best practices |
| Topic 10: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features |
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NEW QUESTION # 579
Which function unloads data from a relational table to JSON?
Answer: C
Explanation:
To unload data from a relational table to JSON format, you can use the TO_CHAR function. This function converts a number to a character string, which can then be serialized into JSON format. While there isn't a direct function specifically named for unloading to JSON, converting the necessary fields to a string representation is a common step in preparing data for JSON serialization.
References:
Snowflake Documentation: TO_CHAR Function
NEW QUESTION # 580
Which function will provide the proxy information needed to protect Snowsight?
Answer: B
Explanation:
The SYSTEM$GET_PRIVATELINK function in Snowflake provides proxy information necessary for configuring PrivateLink connections, which can protect Snowsight as well as other Snowflake services. PrivateLink enhances security by allowing Snowflake to be accessed via a private connection within a cloud provider's network, reducing exposure to the public internet.
References:
Snowflake Documentation: PrivateLink Setup
NEW QUESTION # 581
Use of what parameter will allow files to be loaded even if the file metadata has expired?
Answer: D
NEW QUESTION # 582
A table is created with a column set to a data type of CHARACTER(25). If the table is viewed in the database section of Snowsight, what data type will be shown for the column?
Answer: D
Explanation:
The correct answer is C. VARCHAR(25) .
In Snowflake, CHAR, CHARACTER, STRING, and TEXT are synonyms for VARCHAR. Snowflake stores and displays these character string data types as VARCHAR.
Corrected typo:
Option D was written as CHARACTERS). The corrected option is CHARACTER(25) .
Why C is correct:
A column created as CHARACTER(25) is treated as VARCHAR(25) in Snowflake metadata and display output.
Why the other options are incorrect:
A). STRING is a synonym for VARCHAR, but Snowflake commonly displays the canonical type as VARCHAR.
B). TEXT is also a synonym for VARCHAR, but it is not the canonical display type.
D). CHARACTER is accepted when defining the column, but Snowflake displays it as VARCHAR.
Official Snowflake documentation reference:
Snowflake documentation explains that string data type synonyms such as CHAR, CHARACTER, STRING, and TEXT are equivalent to VARCHAR.
Reference: Snowflake Documentation - String and binary data types; SnowPro Core Study Guide - SQL and Snowflake Objects.
==
NEW QUESTION # 583
What Snowflake feature provides a data hub for secure data collaboration, with a selected group of invited members?
Answer: C
Explanation:
Snowflake's Data Exchange feature provides a data hub for secure data collaboration. It allows providers to publish data that can be discovered and accessed by a selectedgroup of invited members, facilitating secure and controlled data sharing within a collaborative environment3. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 584
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