AI Data Cloud Architecture
31%of exam
Account Management + Governance
20%of exam
Loading + Connectivity
18%of exam
Performance + Transformation
21%of exam
Data Collaboration
10%of exam
Quick Facts
- Exam
- COF-C03
- Credential
- SnowPro Core
- Questions
- 100
- Time
- 115 min
- Pass
- 750 scaled
- Cost
- $175 USD
- Format
- Multiple choice/select
- Launch
- Feb 16 2026
Three Layers
Storage -> Compute -> Services
Storage: dataCompute: warehousesServices: metadataOptimizer: plans
Warehouse vs Database
Warehouse
- Runs compute
- Consumes credits
- Can suspend
Database
- Stores objects
- Uses privileges
- No compute
Compute vs container
Architecture Layers
- Storage
- Managed columnar data
- Compute
- Virtual warehouses
- Cloud Services
- Metadata + optimization
- Metadata
- Object and file stats
- Optimizer
- Query planning
- Result cache
- Reused query output
- Services cache
- Warehouse-independent
- Separation
- Storage apart compute
Time Travel vs Fail-safe
Time Travel
- User queryable
- Clone/restore
- Up to 90 days
Fail-safe
- Snowflake only
- 7 days
- After retention
User recovery vs support
Objects + Tables
- Database
- Schema container
- Schema
- Object namespace
- Table
- Managed rows
- View
- Stored query
- Secure view
- Protected definition
- Dynamic table
- Declarative pipeline
- Iceberg table
- Open table format
- Stage
- File location
Transient vs Temporary
Transient
- Persists until dropped
- No Fail-safe
- Lower recovery
Temporary
- Session scoped
- Hidden after session
- No Fail-safe
Persistent vs session
Warehouses
- Warehouse
- Compute cluster
- Size
- Resources per cluster
- Auto-suspend
- Stop idle compute
- Auto-resume
- Start on demand
- Multi-cluster
- Concurrency scale-out
- Scaling up
- Bigger cluster
- Scaling out
- More clusters
- Resource monitor
- Warehouse credit guard
Recovery + Cloning
- Time Travel
- Historical query/restore
- Fail-safe
- Snowflake recovery only
- Zero-copy clone
- Metadata copy
- Permanent
- Time Travel + Fail-safe
- Transient
- No Fail-safe
- Temporary
- Session scoped
- UNDROP
- Restore dropped object
- Retention
- Historical data window
Policy Scope
Mask columns; row policies filter
Masking: valuesRow: visibilityTags: metadata
Masking vs Row Policy
Masking
- Protect columns
- Return altered values
- Tag-based option
Row policy
- Filter rows
- Predicate logic
- Table/view level
Columns vs rows
Governance Picker
- Object access→Grants(Roles)
- Centralized grants→Managed access(Schema owner)
- Hide columns→Masking policy(Column)
- Filter rows→Row policy(Predicate)
- Classify data→Classification(Sensitive data)
- Label assets→Tags(Metadata)
Governance + Access
- User
- Login principal
- Role
- Privilege holder
- Privilege
- Allowed action
- RBAC
- Privileges via roles
- DAC
- Owner grants access
- UBAC
- Direct user grants
- Secondary role
- Extra active roles
- Managed access
- Centralized grants
Policies + Security
- Masking policy
- Column protection
- Row policy
- Row filtering
- Tag
- Metadata label
- Tag masking
- Policy via tag
- Network policy
- IP allow/deny
- MFA
- Extra authentication
- Tri-Secret
- Customer key control
- Access History
- Usage audit trail
Monitoring + Cost
- Account Usage
- Shared usage views
- Information Schema
- Object metadata
- Snowsight
- Web UI
- Query History
- Executed statements
- Warehouse load
- Queue pressure
- Budget
- Spend monitoring
- Resource monitor
- Warehouse suspension
- Credits
- Compute billing unit
- Serverless
- Snowflake-managed compute
Load Flow
Stage -> Format -> COPY -> Table
Stage: filesFormat: parsingCOPY: loadTable: rows
Snowpipe vs COPY
Snowpipe
- Continuous files
- Serverless compute
- Pipe object
COPY
- Bulk files
- Warehouse compute
- Manual/scheduled
Continuous vs batch
Load Picker
- Local files→PUT + COPY(Internal stage)
- Cloud files→External stage(S3/GCS/Azure)
- Batch load→COPY INTO(Warehouse compute)
- Continuous files→Snowpipe(Serverless)
- App event stream→Snowpipe Streaming(No files)
- Export files→COPY INTO location(Unload)
Loading + Connectivity
- Internal stage
- Snowflake file store
- External stage
- Cloud storage path
- File format
- Parse rules
- COPY INTO
- Bulk load/unload
- Snowpipe
- Continuous micro-batch
- Pipe
- COPY definition
- PUT
- Upload local files
- ON_ERROR
- Load error action
- VALIDATION_MODE
- Check load errors
- Connector
- Client integration
Semi-Structured + Unload
- VARIANT
- Semi-structured value
- OBJECT
- Key-value structure
- ARRAY
- Ordered values
- FLATTEN
- Explode nested data
- LATERAL
- Correlated inline view
- Parquet
- Columnar file
- UNLOAD
- Export with COPY
- MATCH_BY_COLUMN
- Name-based mapping
Warehouse Scaling
Up = size | Out = clusters
Up: heavy queryOut: concurrencySuspend: save credits
Size vs Clusters
Size
- Single-query resources
- Scale up
- Bigger cluster
Clusters
- Concurrency
- Scale out
- More clusters
Power vs concurrency
Compute Picker
- Heavy single query→Resize up(More resources)
- Many queued users→Multi-cluster(Scale out)
- Idle credit burn→Auto-suspend(Cost guard)
- Start on demand→Auto-resume(Convenience)
- Warehouse credit cap→Resource monitor(Suspend option)
- Serverless spend→Budget(Monitor cost)
Performance
- Micro-partition
- Immutable storage unit
- Pruning
- Skip partitions
- Clustering key
- Improve pruning
- Query Profile
- Execution diagnostics
- Local cache
- Warehouse cache
- Result cache
- Query result reuse
- Search optimization
- Point lookup speed
- QAS
- Query acceleration
CDC Flow
Stream records; Task consumes
Stream: changesTask: runs SQLMERGE: apply
Stream vs Task
Stream
- Tracks changes
- CDC offset
- Consumed by DML
Task
- Runs SQL
- Schedule/trigger
- Can form DAGs
Detect vs execute
Pipeline Picker
- Need CDC→Stream(Change offset)
- Scheduled SQL→Task(Timed run)
- Complex DAG→Task graph(Dependencies)
- Freshness target→Dynamic table(Declarative)
- Deduplicate rows→QUALIFY(Window filter)
- Nested JSON rows→FLATTEN(Explode)
Transform + Pipelines
- Stream
- CDC offset
- Task
- Scheduled SQL
- Task graph
- DAG orchestration
- Dynamic table
- Target-lag refresh
- MERGE
- Upsert changes
- QUALIFY
- Filter window results
- Window function
- Partitioned calculation
- CTAS
- Create from query
Dynamic Table vs Task
Dynamic table
- Declarative query
- Target lag
- Automated refresh
Task
- Imperative SQL
- Schedule control
- Procedure calls
Desired state vs procedure
Direct Share vs Listing
Direct share
- Same region
- Specific accounts
- No marketplace
Listing
- Any region
- Rich metadata
- Marketplace capable
Relationship vs product
Collaboration
- Provider
- Shares data
- Consumer
- Uses shared data
- Share
- Secure data access
- Direct share
- Same-region sharing
- Listing
- Marketplace-style sharing
- Marketplace
- Public listings
- Reader account
- Non-customer access
- Data Exchange
- Managed sharing group
- Clean room
- Privacy-safe collaboration
Common Traps
Compute vs storage
Warehouses run queries ≠ Databases store objects
Power vs concurrency
Resize for heavy work ≠ Clusters for queued users
Batch vs continuous
COPY is bulk ≠ Snowpipe is continuous
CDC vs scheduler
Stream records changes ≠ Task executes SQL
Column vs row security
Masking changes values ≠ Row policy filters rows
Recovery window confusion
Time Travel is queryable ≠ Fail-safe needs Snowflake
Share vs copy
Sharing avoids copies ≠ Unload creates files
Direct vs marketplace
Direct share is narrow ≠ Listing is productized
Monitor vs budget
Resource monitor suspends ≠ Budget monitors spend
Last Minute
- 1.Weights: 31/20/18/21/10
- 2.Pass: 750 scaled
- 3.Time: 115 minutes
- 4.Warehouse = compute, not storage
- 5.Database = objects, not compute
- 6.COPY uses user warehouse
- 7.Snowpipe uses serverless compute
- 8.Streams track table changes
- 9.Tasks execute scheduled SQL
- 10.Fail-safe is Snowflake-only recovery
- 11.Listings cross regions/clouds
- 12.Direct shares same region
- 13.Resize for heavy queries
- 14.Clusters for concurrency queues
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