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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage - Snowflake editions and features |
| Topic 2: Security & Access Control | 10% | - Row-level and column-level security - Authentication (SSO, MFA) - Governance best practices - Authorization (roles, privileges) - Masking policies |
| Topic 3: Data Sharing | 12% | - Reader account management - Shares and reader accounts - Private sharing vs. Data Exchange - Data listing marketplace |
| Topic 4: Virtual Warehouses | 15% | - Warehouse creation and configuration - Cache concepts (warehouse, result, metadata) - Warehouse sizing and scaling - Warehouse monitoring and troubleshooting - Multi-cluster warehouses |
| Topic 5: Account Objects | 8% | - Resource monitors - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure |
| Topic 6: Performance Optimization & Monitoring | 4% | - Query history and monitoring - Resource optimization techniques - Query profiling and performance tuning |
| Topic 7: Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Column types and sequences - Clustering and micro-partitions - Table types (permanent, transient, temporary) - Data manipulation (DML operations) - Stored procedures and UDFs |
| Topic 8: Time Travel & Cloning | 10% | - Fail-safe concepts - Time travel concepts and retention - UNDROP and historical data access - Zero-copy cloning |
| Topic 9: Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - VARIANT data type - Array and object operations |
| Topic 10: Data Loading & Unloading | 15% | - Data ingestion best practices - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Bulk loading with COPY command |
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NEW QUESTION # 415
Which type of charts are supported by Snowsight? {Select TWO)
Answer: A,C
NEW QUESTION # 416
Which command can be used to list all network policies available in an account?
Answer: C
Explanation:
To list all network policies available in an account, the correct command is SHOW NETWORK POLICIES. Network policies in Snowflake are used to define and enforce rules for how users can connect to Snowflake, including IP whitelisting and other connection requirements. The SHOW NETWORK POLICIES command provides a list of all network policies defined within the account, along with their details.
The DESCRIBE SESSION POLICY and DESCRIBE NETWORK POLICY commands do not exist in Snowflake SQL syntax. The SHOW SESSION POLICIES command is also incorrect, as it does not pertain to the correct naming convention used by Snowflake for network policy management.
Using SHOW NETWORK POLICIES without any additional parameters will display all network policies in the account, which is useful for administrators to review and manage the security configurations pertaining to network access.
NEW QUESTION # 417
Which data types can be used in Snowflake to store semi-structured data? (Select TWO)
Answer: B,E
Explanation:
Snowflake supports the storage of semi-structured data using the ARRAY and VARIANT data types.
The ARRAY data type can directly contain VARIANT, and thus indirectly contain any other data type, including itself. The VARIANT data type can store a value of any other type, including OBJECT and ARRAY, andis often used to represent semi-structured data formats like JSON, Avro, ORC, Parquet, or XML34.
References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 418
Which Snowflake feature enables loading data from cloud storage as soon as files ate available in a stage?
Answer: C
NEW QUESTION # 419
In which hierarchy is tag inheritance possible?
Answer: D
Explanation:
In Snowflake, tag inheritance is a feature that allows tags, which are key-value pairs assigned to objects for the purpose of data governance and metadata management, to be inherited within a hierarchy. The hierarchy in which tag inheritance is possible is from Schema to Table to Column. This means that a tag applied to a schema can be inherited by the tables within that schema, and a tag applied to a table can be inherited by the columns within that table.
References: Snowflake Documentation on Tagging and Object Hierarchy
NEW QUESTION # 420
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