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Snowflake COF-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Core Certification Exam Sample Questions (Q1062-Q1067):

NEW QUESTION # 1062
Which of the following significantly improves the performance of selective point lookup queries on a table?

Answer: A


NEW QUESTION # 1063
A user has unloaded data from a Snowflake table to an external stage.
Which command can be used to verify if data has been uploaded to the external stage named my_stage?

Answer: D


NEW QUESTION # 1064
Which of the following features, associated with Continuous Data Protection (CDP), require additional Snowflake-provided data storage? (Choose two.)

Answer: B,C

Explanation:
The features associated with Continuous Data Protection (CDP) that require additional Snowflake-provided data storage are Time Travel and Fail-safe. Time Travel allows users to access historical data within a defined period, while Fail-safe provides an additional layer of data protection beyond the Time Travel period. References: [COF-C02] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 1065
What happens when a cloned table is replicated to a secondary database? (Select TWO)

Answer: C,D

Explanation:
When a cloned table is replicated to a secondary database in Snowflake, the following occurs:
C . The physical data is replicated: The actual data of the cloned table is physically replicated to the secondary database. This ensures that the secondary database has its own copy of the data, which can be used for read-only purposes or failover scenarios1.
E . Metadata pointers to cloned tables are replicated: Along with the physical data, the metadata pointers that refer to the cloned tables are also replicated. This metadata includes information about the structure of the table and any associated properties2.
It's important to note that while the physical data and metadata are replicated, the secondary database is typically read-only and cannot be used for write operations. Additionally, while there may be additional storage costs associated with the secondary account, this is not a direct result of the replication process but rather a consequence of storing additional data.
Reference:
SnowPro Core Exam Prep - Answers to Snowflake's LEVEL UP: Backup and Recovery Snowflake SnowPro Core Certification Exam Questions Set 10


NEW QUESTION # 1066
When does a materialized view get suspended in Snowflake?

Answer: D

Explanation:
A materialized view in Snowflake gets suspended when structural changes that could impact the view's integrity are made to the base table, such as B. When a column is dropped from the base table. Dropping a column from the base table on which a materialized view is defined can invalidate the view's data, as the view might rely on the column that is being removed. To maintain data consistency and prevent the materialized view from serving stale or incorrect data, Snowflake automatically suspends the materialized view.
Upon suspension, the materialized view does not reflect changes to the base table until it is refreshed or re-created. This ensures that only accurate and current data is presented to users querying the materialized view.
Reference:
Snowflake Documentation on Materialized Views: Materialized Views


NEW QUESTION # 1067
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