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[General] SOL‑C01 — SnowPro® Associate: Platform Certification Exam

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【General】 SOL‑C01 — SnowPro® Associate: Platform Certification Exam

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Problem description and steps to reproduce:
The SOL‑C01 SnowPro® Associateexam validates foundational knowledge and practical skills in using the Snowflake Data Cloud platform. It is designed for professionals who understand Snowflake architecture, can navigate the user interface, manage data workloads, and apply basic security and governance practices. The exam also introduces AI/LLM integration through Snowflake’s Cortex features.
Exam Overview
  • Provider: Snowflake
  • Exam Code: SOL‑C01
  • Certification Level: Associate
  • Duration: 85 minutes
  • Question Count: Approximately 65
  • Passing Score: Scaled (around 750+/1000)
  • Question Types: Multiple Choice, Multiple Select, Interactive
  • Language: English
  • Experience Suggested: 3+ months using Snowflake platform features

Exam Objective
Candidates are expected to demonstrate the ability to:
  • Navigate Snowflake interfaces (Snowsight and Notebooks)
  • Create and manage databases, stages, and compute resources
  • Load, query, and optimize structured and semi‑structured data
  • Apply role-based access control and manage account security
  • Use Snowflake’s Cortex LLM functions for AI tasks
  • Monitor performance, costs, and data usage

Covered Knowledge Areas1. Snowflake Architecture & Core Concepts
  • Multi-cluster shared data architecture
  • Separation of storage and compute
  • Cloud-agnostic deployment and virtual warehouses

2. Data Loading, Transformation & Querying
  • Data ingestion with stages, Snowpipe, and COPY INTO
  • Querying structured and semi-structured data (JSON, Avro, Parquet)
  • Query optimization and caching

3. Account Setup & Security
  • User, role, and privilege management
  • Role-Based Access Control (RBAC)
  • Managing compute resources and access policies

4. Data Protection & Sharing
  • Time Travel and Fail-Safe
  • Secure data sharing and marketplace
  • Data tagging, classification, and masking

5. Monitoring, Billing & Usage Metrics
  • Monitoring query performance and compute usage
  • Analyzing account usage
  • Cost-monitoring best practices

6. AI & LLM Integration
  • Basic Snowflake Cortex LLM functions
  • AI/ML workflow integration within Snowflake

Ideal For
  • Data analysts and engineers starting with Snowflake
  • IT professionals entering cloud data roles
  • Individuals validating foundational Snowflake platform skills
  • Anyone enhancing their resume with a recognized data platform certification


SOL-C01_Demo_Questions.pdf

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