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Snowflake COF-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Core Certification Exam Sample Questions (Q382-Q387):

NEW QUESTION # 382
Which function should be used to find the query ID of the second query executed in a current session?

Answer: A

Explanation:
The correct function to find the query ID of the second query executed in the current session is SELECT LAST_QUERY_ID(-2). The LAST_QUERY_ID function returns the query ID for the most recent query executed in the session when called with no arguments. When used with an argument, it can retrieve the ID of previous queries within the same session, where -2 would reference the second most recent query executed.
References:
* There's a clarification needed here; Snowflake's documentation indicates LAST_QUERY_ID() function does not accept arguments. It returns the ID of the last query executed in the session. To find the query ID of the second last executed query, users typically need to track query IDs manually or use session history views.


NEW QUESTION # 383
What happens when a virtual warehouse is resized?

Answer: A

Explanation:
When a virtual warehouse in Snowflake is resized, specifically when it is increased in size, the additional compute resources become immediately available to all running and queued queries. This means that the performance of these queries can improve due to the increased resources. Conversely, when the size of a warehouse is reduced, the compute resources are not removed until they are no longer being used by any current operations1.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Virtual Warehouses2


NEW QUESTION # 384
Masking policies are created at what level in Snowflake?

Answer: C

Explanation:
Masking policies in Snowflake are created and applied at the column level. These policies are used to obfuscate sensitive data by masking the values in a specific column. Masking policies can enforce data privacy and protection measures by dynamically masking the data based on the role of the user querying the data.
Snowflake Documentation: Dynamic Data Masking


NEW QUESTION # 385
Which Snowflake feature records changes mace to a table so actions can be taken using that change data capture?

Answer: B

Explanation:
Snowflake's Streams feature is specifically designed for change data capture (CDC). A stream records insert, update, and delete operations performed on a table, and allows users to query these changes. This enables actions to be taken on the changed data, facilitating processes like incremental data loads and real-time analytics. Streams provide a powerful mechanism for applications to respond to data changes in Snowflake tables efficiently.
References: Snowflake Documentation on Streams


NEW QUESTION # 386
Which of the following statements describe features of Snowflake data caching? (Choose two.)

Answer: A,E


NEW QUESTION # 387
......

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