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DAA-C01 Exam Topics and Domains
DAA-C01 is organized into 4 weighted domains. Expect to work with APPROX_COUNT_DISTINCT, External tables, FLATTEN, Snowsight dashboards, and more.
Data Ingestion and Data Preparation
Use a collection system to retrieve data
Retrieve structured, semi-structured, unstructured, and synthetically generated data from a source
Perform data discovery to identify what is needed from the available datasets
- Assess data elements and granularity
- Evaluate required transformations and joins
- Read metadata and alter session context
Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
Enrich datasets using Secure Data Sharing and the Snowflake Marketplace
Use best practice considerations relating to data integrity structures
Apply data integrity structures (keys, constraints, parent/child joins)
Implement data processing solutions
Automate data pipelines and respond to processing failures with logging, monitoring, auditing, and lineage
Given a scenario, prepare data and load into Snowflake
Load different data types from stages, perform DML, and resolve import errors
Given a scenario, use Snowflake functions
Apply the full range of Snowflake function categories including AI and ML functions
Data Transformation and Data Modeling
Prepare different data types into a consumable format
Prepare CSV, JSON, Parquet, and XML into a consumable format
Given a dataset, clean the data
Clean data by handling quality issues, nulls, duplicates, and type conversions using DMFs, Time Travel, and cloning
Given a dataset or scenario, work with and query the data
Query, aggregate, enrich, and validate data using window functions, CTEs, sampling, and approximation
Use data modeling to manipulate the data to meet BI requirements
Apply data modeling techniques (dimensional, Data Vault) for the consumption layer
Optimize query performance
Analyze and optimize query performance using pruning, clustering, caching, and acceleration services
Data Analysis
Use SQL extensibility features
Apply UDFs, UDTFs, stored procedures (including async), and views for extensibility
Perform descriptive analyses
Perform descriptive analyses using Snowsight dashboards, Notebooks, and worksheets
Perform diagnostic analyses
Perform diagnostic analyses to find causes of anomalies and patterns
Perform forecasting
Perform forecasting and predictive analysis using statistics and built-in functions
Data Presentation and Data Visualization
Given a use case, create reports and dashboards to meet business requirements
Create Snowsight reports and dashboards, applying contexts, filters, chart types, and governance policies
Given a use case, maintain reports and dashboards to meet business requirements
Maintain, automate, share, and troubleshoot Snowsight dashboards and reports
Given a use case, incorporate visualizations for dashboards and reports
Incorporate visualizations that present data for business-use analyses
How do I earn this certification?
Passing DAA-C01 earns the SnowPro Advanced: Data Analyst certification. It sits in the SnowPro Advanced track.
- DEA-C01 - SnowPro Advanced: Data Engineer
- DSA-C03 - SnowPro Advanced: Data Scientist
- ARA-C01 - SnowPro Advanced: Architect
- ADA-C01 - SnowPro Advanced: Administrator
- COF-C02 - SnowPro Core Certification Required foundation for all SnowPro Advanced exams
- GES-C01 - SnowPro Specialty: Gen AI Complementary specialty for analysts working with Snowflake Cortex / Gen AI
Practice with Precision
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How to study for this exam?
The most effective way to prepare for DAA-C01 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
- ACTIVE
- Last content update: 2025-10-13
- Built-in ML & AI functions Domain 1.7 explicitly lists AI functions and ML functions (Classification, Top Insights, Anomaly Detection); forecasting in Domain 3.4 uses built-in statistical/ML functions.
- Data Metric Functions (DMFs) Domain 2.2 requires using DMFs for data quality/cleaning.
- Query Acceleration & Search Optimization services Domain 2.5 tests query performance tuning using these services alongside clustering and caching.
Who should take this exam?
- 1+ year of hands-on practical experience with Snowflake as a Data Analyst in a production environment
- Fluency with advanced SQL
- Knowledge of an additional computer language (a plus, not required)