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Snowflake DAA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Data Analysis	30%-32%	- Perform advanced analytics using SQL 1. Aggregate functions 2. Time-series analysis 3. Snowflake-specific analytical features
Data Ingestion and Data Preparation	15%-20%	- Use best practice considerations relating to data integrity structures 1. Implement constraints 2. Define primary keys for tables 3. Perform table joins between parent/child tables - Prepare data and load into Snowflake 1. Load files using Snowsight 2. Load data from external/internal stages into a table - Enrich data by identifying and accessing relevant data from the Snowflake Marketplace 1. Create tables and views 2. Find external data sets that correlate with available data 3. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings) - Use a collection system to retrieve data 1. Retrieve data from structured sources (CSV) 2. Retrieve data from unstructured sources 3. Synthetic Data Generation 4. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML) - Implement data processing solutions 1. Use logging and monitoring solutions (auditing, data lineage) 2. Cleanse, conform, and enrich data 3. Automate and implement data pipelines (scheduling) 4. Respond to processing failures - Perform data discovery to identify what is needed from available datasets 1. Determine the level of data granularity required 2. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE) 3. Query tables to assess data elements and statistics maintained by Snowflake 4. Evaluate required transformations (table joins, set operations, ASOF JOINS) 5. Identify elements required for business goals using BI reports or SQL analysis
Data Transformation and Data Modeling	22%-30%	- Transform data using SQL 1. Common Table Expressions (CTEs) 2. PIVOT/UNPIVOT operations 3. Window functions 4. QUALIFY clauses - Design data models 1. Snowflake schema design 2. Data vault models 3. Star schema design
Data Presentation and Data Visualization	28%-29%	- Integrate with BI tools 1. Tableau integration 2. Other partner visualization tools 3. Power BI integration - Create dashboards 1. Present analytical results 2. Snowsight dashboards

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

A Data Analyst needs to rotate a table by transforming a wide table's columns into rows.

Which operator will be MOST beneficial for producing this output?