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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Topic 2: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse creation and configuration - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling |
| Topic 3: Security & Access Control | 10% | - Row-level and column-level security - Authentication (SSO, MFA) - Authorization (roles, privileges) - Governance best practices - Masking policies |
| Topic 4: Data Sharing | 12% | - Data listing marketplace - Private sharing vs. Data Exchange - Shares and reader accounts - Reader account management |
| Topic 5: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
| Topic 6: Data Loading & Unloading | 15% | - Data unloading and staging - Continuous loading with Snowpipe - Bulk loading with COPY command - File formats (JSON, CSV, Parquet, AVRO) - Data ingestion best practices |
| Topic 7: Databases, Tables & Views | 18% | - Column types and sequences - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Views (standard, materialized, secure) - Stored procedures and UDFs - Data manipulation (DML operations) |
| Topic 8: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Resource monitors - Organizations and accounts structure |
| Topic 9: Time Travel & Cloning | 10% | - UNDROP and historical data access - Zero-copy cloning - Fail-safe concepts - Time travel concepts and retention |
| Topic 10: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) |
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NEW QUESTION # 319
Which Snowflake function and command combination should be used to convert rows in a relational table to a single VARIANT column, and unload the rows Into a file in JSON format? (Select TWO).
Answer: A,E
Explanation:
To convert rows in a relational table to a single VARIANT column and unload the rows into a file in JSON format, you can use the COPY command in combination with the OBJECT_CONSTRUCT function. The OBJECT_CONSTRUCT function converts the row into a JSON object stored in a VARIANT column, and the COPY command can then be used to unload this data into a JSON file.
References:
Snowflake Documentation: OBJECT_CONSTRUCT
Snowflake Documentation: COPY INTO <location>
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NEW QUESTION # 320
When unloading data: which file formal will keep floating-point number column data without truncating it?
Answer: B
NEW QUESTION # 321
A company strongly encourages all Snowflake users to self-enroll in Snowflake's default Multi-Factor Authentication (MFA) service to provide increased login security for users connecting to Snowflake.
Which application will the Snowflake users need to install on their devices in order to connect with MFA?
Answer: D
Explanation:
Snowflake's default Multi-Factor Authentication (MFA) service is powered by Duo Security. Users are required to install the Duo Mobile application on their devices to use MFA for increased login security when connecting to Snowflake.This service is managed entirely by Snowflake, and users do not need to sign up separately with Duo1.
NEW QUESTION # 322
Which role can create a database role?
Answer: C
Explanation:
The correct answer is C. A role with the OWNERSHIP privilege on the database .
A database role is scoped to a specific database. To create a database role, a role must have sufficient privileges on the database where the database role will be created.
Why C is correct:
The role that owns the database has control over that database and can create database roles within it.
Example:
CREATE DATABASE ROLE my_database.my_db_role;
To run this successfully, the executing role must have the required privilege on the database, such as OWNERSHIP.
Why the other options are incorrect:
A). SECURITYADMIN manages users, roles, and grants at the account level, but database role creation depends on privileges on the specific database.
B). A custom role being granted to SECURITYADMIN does not automatically mean it can create database roles in a database.
D). SYSADMIN commonly owns many account objects by default in recommended role models, but the required condition is privilege on the database, not simply holding the SYSADMIN role.
Official Snowflake documentation reference:
Snowflake documentation explains that database roles are created inside databases and require appropriate privileges on the database.
Reference: Snowflake Documentation - Database roles; CREATE DATABASE ROLE; Access control privileges; SnowPro Core Study Guide - Security and Access Control.
NEW QUESTION # 323
Which technical needs require Enterprise Edition? Select TWO.
Answer: A,C
Explanation:
Enterprise Edition includes features such as multi-cluster warehouses and column-level security features.
Multi-cluster warehouses are used for high concurrency, and column-level security includes features such as masking policies.
Why the others are incorrect:
Network policies are available below Enterprise. Private connectivity and Tri-Secret Secure require Business Critical or higher, not merely Enterprise.
Reference: Snowflake Documentation - Snowflake editions; Multi-cluster warehouses; Column-level security.
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NEW QUESTION # 324
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