Exam Code: DAA-C01
Exam Name: SnowPro Advanced: Data Analyst Certification Exam
Certification Provider: Snowflake
Corresponding Certification: SnowPro Advanced

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

A Data Analyst created two functions and one procedures:
The Analyst then runs this query:

The Analyst then runs this query:

What will be the output?