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Snowflake COF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Protection & Data Sharing10%- Secure data sharing
  • 1. Direct sharing, data exchanges, reader accounts
  • 2. Sharing security and access control
- Data recovery & retention
  • 1. Data retention policies and backup
  • 2. Time Travel, Fail-safe, cloning capabilities
Topic 2: 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
Topic 3: 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 4: Performance Concepts & Optimization15%- Warehouse sizing & tuning
  • 1. Scaling, clustering, and concurrency management
  • 2. Query profiling and optimization techniques
- Data optimization features
  • 1. Caching and result reuse
  • 2. Clustering keys, search optimization, materialized views
Topic 5: 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
Topic 6: 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. Virtual warehouses and resource management
  • 2. Service layers and separation of storage/compute
  • 3. Data storage structure and formats

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Snowflake SnowPro Core Certification Exam Sample Questions (Q878-Q883):

NEW QUESTION # 878
Which statistics are displayed in a Query Profile that indicate that intermediate results do not fit in memory? (Select TWO).

Answer: C,E

Explanation:
The Query Profile statistics that indicate intermediate results do not fit in memory are the bytes spilled to local storage and bytes spilled to remote storage2.


NEW QUESTION # 879
Which Snowflake table supports unstructured data?

Answer: D

Explanation:
While Snowflake primarily deals with structured and semi-structured data, it also has the capability to handle unstructured data. Unstructured data can be stored in Snowflake using variants of SQL data types in tables, which can be permanent tables. These permanent tables, while traditionally used for structured or semi- structured data (like JSON, Avro, or Parquet), can also accommodate unstructured data in the form of binary formats or strings, offering flexibility in data storage and analysis. However, the management and querying of unstructured data in Snowflake may require additional considerations compared to structured data.
References: Snowflake Documentation on Data Types


NEW QUESTION # 880
How does Snowflake allow a data provider with an Azure account in central Canada to share data with a data consumer on AWS in Australia?

Answer: D

Explanation:
Snowflake allows data providers to share data with consumers across different cloud platforms and regions through database replication. The data provider must replicate the database to a secondary account in the target region or cloud platform within the same organization, and then create a share to the data consumer's account. This process ensures that the data is available in the consumer's region and on their cloud platform, facilitating seamless data sharing. References: Sharing data securely across regions and cloud platforms | Snowflake Documentation


NEW QUESTION # 881
How many credits does a size 3X-Large virtual warehouse consume if it runs continuously for 2 hours?

Answer: B


NEW QUESTION # 882
What is a best practice after creating a custom role?

Answer: C


NEW QUESTION # 883
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