SnowPro Core Certification (COF-C03)

An exam-aligned certification program for Snowflake's foundational credential on the AI Data Cloud. Master the architecture, virtual warehouses, performance optimization, governance, data movement, and collaboration — plus the new COF-C03 topics: Snowflake Cortex AI, Apache Iceberg tables, Notebooks, Streamlit in Snowflake, and Git integration.


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Course Duration - 40 Hours
TOP CERTIFICATIONS SnowPro CoreCertification(COF-C03) Progmatrix

The SnowPro Core Certification (COF-C03) program is an instructor-led certification course for Snowflake's foundational credential — the prerequisite for all SnowPro Advanced and Specialty certifications. Every module is mapped directly to the current COF-C03 exam (English version launched February 16, 2026, replacing COF-C02), so what you practice is exactly what the exam tests.

The exam tests your ability to use the Snowflake AI Data Cloud architecture; manage Snowflake accounts and virtual warehouses; perform data loading, unloading, and transformation; work with structured, semi-structured, and unstructured data; monitor and optimize performance; enable data collaboration and protection; and establish Snowflake connectivity. This course builds those skills hands-on — and covers the modern topics COF-C03 adds: Snowflake Cortex AI, Apache Iceberg tables, Snowflake Notebooks, Streamlit in Snowflake, and Git integration.

On completion you will be ready to sit the SnowPro Core exam and to take on Snowflake data platform roles — with a clear path onward to the Advanced and Specialty tracks.

Exam at a Glance

  • Certification: SnowPro Core Certification  |  Offered by: Snowflake
  • Exam code: COF-C03 — current live version; replaced COF-C02 (retired May 2026). English COF-C03 launched February 16, 2026.
  • Level: Foundational / Core — a current SnowPro Core certification is a prerequisite for all SnowPro Advanced and Specialty certifications
  • Prerequisite: None required; Snowflake recommends 6+ months of hands-on Snowflake experience
  • Format: 100 questions — multiple choice, multiple select, and interactive (may include additional unscored items)  |  Time limit: 115 minutes
  • Passing score: 750, on a scaled score of 0–1000
  • Delivery: Pearson VUE — online proctored (OnVUE) or test center  |  Validity: 2 years
  • Languages: English (localized versions rolling out through 2026)

Exam Domains & Weightings

  • Domain 1 — Snowflake AI Data Cloud Features and Architecture — 31%
  • Domain 2 — Performance Optimization, Querying, and Transformation — 21%
  • Domain 3 — Account Management and Data Governance — 20%
  • Domain 4 — Data Loading, Unloading, and Connectivity — 18%
  • Domain 5 — Data Collaboration — 10%

Course Highlights

  • 100% aligned to the current COF-C03 exam
  • Hands-on in Snowsight, Snowflake CLI, and VS Code on live Snowflake accounts
  • New COF-C03 topics covered: Cortex AI, Iceberg tables, Notebooks, Streamlit, Git integration
  • Performance tuning with Query Profile, caching, clustering, and optimization services
  • Governance, RBAC, masking, and resource monitoring in practice
  • Full-length mock exams with explanations

Learning Outcomes

  • Explain and use the three-layer Snowflake architecture and object hierarchy
  • Configure and right-size virtual warehouses for any workload
  • Diagnose and optimize query performance with Query Profile and caching
  • Secure and govern accounts with RBAC, masking, tagging, and resource monitors
  • Load, unload, and stream data with COPY INTO, Snowpipe, streams, tasks, and dynamic tables
  • Share data securely via Secure Data Sharing and the Marketplace — and pass COF-C03 with confidence

Job Opportunities

  • Snowflake Developer
  • Data Engineer
  • Data Platform Administrator
  • Analytics Engineer
  • BI Developer
  • Data Warehouse Engineer

Material Includes

  • Class recordings
  • Lab guides & worksheets
  • Mock exams
  • Certificate

Who Can Join

  • Data Analysts & BI Developers
  • Data Engineers & DBAs
  • Students & IT Professionals

Estimated Time: 11–12 Hours

Topics:
  • Describe and use the Snowflake architecture: Cloud Services layer, Compute layer, Database Storage layer; compare Snowflake editions
  • Use Snowflake interfaces and tools: Snowsight, Snowflake CLI, IDE integrations (e.g., Visual Studio Code)
  • Differentiate the Snowflake object hierarchy and types: organization/account objects; database objects (stages, schemas, tables, views, UDFs, file formats, stored procedures, pipes, shares, sequences, ML models, applications); session and context variables; parameter hierarchy and precedence
  • Configure virtual warehouses: types (Standard Gen 1/Gen 2, Snowpark-optimized); scaling policies; sizing and scaling best practices (up/down, in/out, auto-suspend); use-case configurations (ad-hoc queries, data loading, BI/reporting, high concurrency)
  • Explain storage concepts: micro-partitions, data clustering; table types (permanent, temporary, transient, Apache Iceberg, external, dynamic); view types (standard, materialized, secure)
  • Explain AI/ML and application development features: Snowflake Notebooks, Streamlit in Snowflake, Snowpark, Snowflake Cortex (AI SQL functions, Cortex Search, Cortex Analyst), Snowflake ML
Hands-on:
  • Navigate Snowsight and the CLI; create the full object hierarchy
  • Configure warehouses per workload and explore Cortex AI functions in a Notebook
Assessment: Quiz + Lab

Estimated Time: 8–9 Hours

Topics:
  • Evaluate query performance: Query Profile / query insights, bytes spilled to storage, inefficient pruning, exploding joins, queuing; ACCOUNT_USAGE views (query attribution, query history); workload management best practices
  • Optimize query performance: query acceleration service, search optimization service, clustering keys, materialized views
  • Use Snowflake caching: query result cache, metadata cache, warehouse cache
  • Perform data transformation techniques: structured, semi-structured, and unstructured data; aggregate functions; SQL for query optimization; window functions
Hands-on:
  • Diagnose a slow query with Query Profile and fix spilling/pruning issues
  • Transform semi-structured data with SQL and window functions
Assessment: Quiz + Lab

Estimated Time: 7–8 Hours

Topics:
  • Explain the Snowflake security model and principles: RBAC and DAC; securable object hierarchy; network policies; authentication (MFA, federated auth, SSO, OAuth, key-pair); system-defined, functional, custom, and secondary roles; account identifiers; logging and tracing
  • Define data governance features: data masking (row-level and column-level security), object tagging, privacy policies, Trust Center, encryption key management, alerts and notifications, data replication and failover, data lineage
  • Explain monitoring and cost management: resource monitors (cost and warehouse monitoring), virtual warehouse credit usage, the ACCOUNT_USAGE schema
Hands-on:
  • Build an RBAC role hierarchy with MFA and network policies
  • Apply masking policies, tags, and resource monitors to an account
Assessment: Quiz + Lab

Estimated Time: 6–7 Hours

Topics:
  • Perform data loading and unloading: file formats; internal and external stages (server-side encryption, directory tables); COPY INTO command; error handling
  • Perform automated data ingestion: Snowpipe, Snowpipe Streaming, streams, tasks, dynamic tables
  • Identify Snowflake connectors and integrations: drivers, connectors, storage integration, API integration, Git integration
Hands-on:
  • Load and unload data through stages with COPY INTO and error handling
  • Automate ingestion with Snowpipe, streams, tasks, and a dynamic table
Assessment: Quiz + Lab

Estimated Time: 4–5 Hours

Topics:
  • Explain data collaboration and protection: data replication and failover, secure data sharing, cloning, Time Travel, Fail-safe
  • Explain data sharing capabilities: provider/consumer/reader accounts, Secure Data Sharing, sharing and resharing, direct shares, data clean rooms
  • Share data via the Snowflake Marketplace and listings: Marketplace, private and public listings, Native Apps
Hands-on:
  • Clone objects, use Time Travel, and set up a direct share to a reader account
  • Browse and consume a Marketplace listing
Assessment: Quiz + Lab

Estimated Time: 3–4 Hours

Learning Objectives:
  • Master the 100-question, 115-minute format, including interactive item types
  • Target the scaled 750/1000 passing score with domain-weighted review
Topics:
  • Domain-by-domain review keyed to the official weightings
  • Question strategy and elimination techniques
  • Certification path: 2-year validity and the road to SnowPro Advanced and Specialty tracks
Hands-on:
  • Full-length timed mock exams with detailed review
  • Capstone: end-to-end Snowflake build — load, transform, govern, and share a dataset
Assessment: Capstone + Mock Exams

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