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Snowflake COF-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Collaboration | 10% | - Cloning, Time Travel and Fail-safe - Marketplace and data exchange - Secure data sharing and replication |
| Topic 2: Snowflake AI Data Cloud Features and Architecture | 31% | - Virtual warehouses and best practices - Object hierarchy and types (tables, views, UDFs, etc.) - Snowflake architecture (storage, compute, cloud services) - Storage concepts (micro-partitions, table types) - Snowflake interfaces and tools (Snowsight, CLI, IDEs) |
| Topic 3: Account Management and Data Governance | 20% | - Data masking and object tagging - Network policies and authentication - Role-based access control (RBAC) and security policies - Logging, tracing and audit (ACCOUNT_USAGE) |
| Topic 4: Data Loading, Unloading and Connectivity | 18% | - COPY INTO and error handling - File formats and stages - Snowpipe, streams and tasks - Connectors, APIs and Git integration |
| Topic 5: Performance Optimization, Querying and Transformation | 21% | - Materialized views and clustering - Query performance tuning and caching - SQL transformations (structured & semi-structured) - Workload management |
Snowflake SnowPro Core Certification Sample Questions:
1. How would you determine the size of the virtual warehouse used for a task?
A) Root task may be executed concurrently (i.e. multiple instances), it is recommended to leave some margins in the execution window to avoid missing instances of execution
B) Since task infrastructure is based on running the task body on schedule, it's recommended to configure the virtual warehouse for automatic concurrency handling using Multi-cluster warehouse (MCW) to match the task schedule
C) If using the stored procedure to execute multiple SQL statements, it's best to test run the stored procedure separately to size the compute resource first
D) Querying (select) the size of the stream content would help determine the warehouse size. For example, if querying large stream content, use a larger warehouse size
2. True or False: Bulk unloading of data from Snowflake supports the use of a SELECT statement.
A) True
B) False
3. Which statement best describes Snowflake tables?
A) Snowflake tables are logical representations of underlying physical data
B) Snowflake tables are owned by a user
C) Snowflake tables ate the physical instantiation of data loaded Into Snowflake
D) Snowflake tables require that clustering keys be defined to perform optimally
4. If auto-suspend is enable for a Virtual Warehouse, he Warehouse is automatically suspended when:
A) All Snowflake sessions using the warehouse are terminated.
B) The last query using the warehouse completes.
C) There are no users loaned into Snowflake.
D) The Warehouse is inactive for a specified period of time.
5. Increasing the size of a Virtual Warehouse from an X-Small to an X-Large is an example of:
A) Scaling out
B) Scaling rhythmically
C) Scaling up
D) Scaling max
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: C |
