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Snowflake COF-C02 Exam Syllabus Topics:

SectionWeightObjectives
Account Access & Security20%- Authentication & authorization
  • 1. Network policies and security settings
  • 2. Users, roles, privileges and access control
- Data protection & governance
  • 1. Encryption at rest and in transit
  • 2. Data masking and row-level security
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 Protection & Data Sharing10%- Secure data sharing
  • 1. Direct sharing, data exchanges, reader accounts
  • 2. Sharing security and access control
- Data recovery & retention
  • 1. Time Travel, Fail-safe, cloning capabilities
  • 2. Data retention policies and backup
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. Data storage structure and formats
  • 2. Service layers and separation of storage/compute
  • 3. Virtual warehouses and resource management
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
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

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Snowflake SnowPro Core Certification Exam Sample Questions (Q494-Q499):

NEW QUESTION # 494
Which Snowflake feature allows administrators to identify unused data that may be archived or deleted?

Answer: C

Explanation:
The Access History feature in Snowflake allows administrators to track data access patterns and identify unused data. This information can be used to make decisions about archiving or deleting data to optimize storage and reduce costs.


NEW QUESTION # 495
How does Snowflake describe its unique architecture?

Answer: C

Explanation:
Snowflake's unique architecture is described as a multi-cluster, shared data architecture that leverages massively parallel processing (MPP). This architecture separates compute and storage resources, enabling Snowflake to scale them independently. It does not use a single cluster or rely solely on symmetric multiprocessing (SMP); rather, it uses a combination of shared-nothing architecture for compute clusters (virtual warehouses) and a centralized storage layer for data, optimizing for both performance and scalability.
Reference:
Snowflake Documentation: Snowflake Architecture Overview


NEW QUESTION # 496
Which tool or service can be used to graphically explore and manage data stored within a Snowflake account, including databases, tables, and views?

Answer: A


NEW QUESTION # 497
What statistical information in a Query Profile indicates that the query is too large to fit in memory? (Select TWO).

Answer: A,E

Explanation:
In a Query Profile, the statistical information that indicates a query is too large to fit in memory includes bytes spilled to local cache and bytes spilled to local storage. These metrics suggest that the working data set of the query exceeded the memory available on the warehouse nodes, causing intermediate results to be written to disk


NEW QUESTION # 498
Which categories are included in the execution time summary in a Query Profile? (Select TWO).

Answer: B,E

Explanation:
In the execution time summary of a Query Profile in Snowflake, the categories included provide insights into various aspects of query execution. "Pruning" refers to the process by which Snowflake reduces the amount of data scanned by eliminating partitions of data that are not relevant to the query, thus improving performance.
"Initialization" represents the time taken for query planning and setup before actual execution begins. These metrics are crucial for understanding and optimizing query performance.
Reference: Snowflake Documentation on the Query Profile, which outlines the different metrics and categories included in the execution summary: https://docs.snowflake.com/en/user-guide/ui-query-profile.
html#execution-summary


NEW QUESTION # 499
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