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Snowflake COF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Pipelines & Automation10%- Integration & connectivity
  • 1. External functions and API integration
  • 2. Connectors and ETL/ELT patterns
- Workflow & automation
  • 1. Streams, tasks, and pipes
  • 2. Change data capture and processing
Topic 2: Snowflake Architecture & Cloud Concepts25%- Cloud data platform fundamentals
  • 1. Virtual warehouses and resource management
  • 2. Service layers and separation of storage/compute
  • 3. Data storage structure and formats
- Account structure and hierarchy
  • 1. Organization, account, database, schema levels
  • 2. Object ownership and naming conventions
Topic 3: Account Access & Security20%- Data protection & governance
  • 1. Encryption at rest and in transit
  • 2. Data masking and row-level security
- Authentication & authorization
  • 1. Users, roles, privileges and access control
  • 2. Network policies and security settings
Topic 4: Performance Concepts & Optimization15%- Data optimization features
  • 1. Clustering keys, search optimization, materialized views
  • 2. Caching and result reuse
- Warehouse sizing & tuning
  • 1. Query profiling and optimization techniques
  • 2. Scaling, clustering, and concurrency management
Topic 5: Data Loading & Transformation20%- Data transformation & querying
  • 1. DDL/DML operations and SQL functions
  • 2. Working with structured, semi-structured, unstructured data
- Data ingestion methods
  • 1. Bulk loading, continuous loading, external stages
  • 2. File formats and data type handling
Topic 6: Data Protection & Data Sharing10%- Data recovery & retention
  • 1. Time Travel, Fail-safe, cloning capabilities
  • 2. Data retention policies and backup
- Secure data sharing
  • 1. Sharing security and access control
  • 2. Direct sharing, data exchanges, reader accounts

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Snowflake SnowPro Core Certification Exam Sample Questions (Q911-Q916):

NEW QUESTION # 911
A sales table FCT_SALES has 100 million records.
The following Query was executed
SELECT COUNT (1) FROM FCT__SALES;
How did Snowflake fulfill this query?

Answer: A

Explanation:
Snowflake is designed to optimize query performance by utilizing metadata for certain types of queries.
When executing a COUNT query, Snowflake can often fulfill the request by accessing metadata about the table's row count, rather than scanning the entire table or micro-partitions. This is particularly efficient for large tables like FCT_SALES with a significant number of records. The metadata layer maintains statistics about the table, including the row count, which enables Snowflake to quickly return the result of a COUNT query without the need to perform a full scan.
References:
Snowflake Documentation on Metadata Management
SnowPro® Core Certification StudyGuide


NEW QUESTION # 912
What is the MINIMUM Snowflake edition required to use the periodic rekeying of micro-partitions?

Answer: D

Explanation:
Periodic rekeying of micro-partitions is a feature that requires the Enterprise Edition of Snowflake or higher. This feature is part of Snowflake's comprehensive approach to encryption key management, ensuring data security through regular rekeying1. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 913
Which command is used to unload files from an internal or external stage to a local file system?

Answer: C


NEW QUESTION # 914
Which SQL commands, when committed, will consume a stream and advance the stream offset? (Choose two.)

Answer: C,D


NEW QUESTION # 915
Which role can create and manage Snowflake accounts?

Answer: B


NEW QUESTION # 916
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