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Last Updated: Sep 22, 2026

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Data Transformation and Data Modeling22%-30%- Design data models
  • 1. Data vault models
  • 2. Star schema design
  • 3. Snowflake schema design
- Transform data using SQL
  • 1. Window functions
  • 2. PIVOT/UNPIVOT operations
  • 3. Common Table Expressions (CTEs)
  • 4. QUALIFY clauses
Data Ingestion and Data Preparation15%-20%- Perform data discovery to identify what is needed from available datasets
  • 1. Evaluate required transformations (table joins, set operations, ASOF JOINS)
  • 2. Identify elements required for business goals using BI reports or SQL analysis
  • 3. Query tables to assess data elements and statistics maintained by Snowflake
  • 4. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 5. Determine the level of data granularity required
- Prepare data and load into Snowflake
  • 1. Load data from external/internal stages into a table
  • 2. Load files using Snowsight
- Use a collection system to retrieve data
  • 1. Retrieve data from unstructured sources
  • 2. Retrieve data from structured sources (CSV)
  • 3. Synthetic Data Generation
  • 4. Retrieve data from semi-structured sources (Parquet, Avro, ORC, JSON, XML)
- Use best practice considerations relating to data integrity structures
  • 1. Perform table joins between parent/child tables
  • 2. Define primary keys for tables
  • 3. Implement constraints
- Implement data processing solutions
  • 1. Cleanse, conform, and enrich data
  • 2. Use logging and monitoring solutions (auditing, data lineage)
  • 3. Automate and implement data pipelines (scheduling)
  • 4. Respond to processing failures
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Find external data sets that correlate with available data
  • 2. Create tables and views
  • 3. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Aggregate functions
  • 2. Time-series analysis
  • 3. Snowflake-specific analytical features
Data Presentation and Data Visualization28%-29%- Create dashboards
  • 1. Snowsight dashboards
  • 2. Present analytical results
- Integrate with BI tools
  • 1. Other partner visualization tools
  • 2. Tableau integration
  • 3. Power BI integration

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

Question #1

What functions should a Data Analyst use to run descriptive analytics on a data set? (Select TWO).

  • A. ROW_NUMBER
  • B. REGR_INTERCEPT
  • C. AVG
  • D. APPROX_COUNT_DISTINCT
  • E. REGR_SLOPE
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

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Question #2

How can a Data Analyst automatically create a table structure for loading a Parquet file?

  • A. Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE LIKE command.
  • B. Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE USING TEMPLATE command.
  • C. Use INFER_SCHEMA together with the CREATE TABLE USING TEMPLATE command.
  • D. Use the INFER_SCHEMA together with the CREATE TABLE LIKE command.
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Correct Answer: C  🗳️

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Question #3

What is a benefit of using SQL queries that contain secure views?

  • A. Only the number of scanned micro-partitions is exposed, not the number of bytes scanned.
  • B. The amount of data scanned, and the total data volume are obfuscated.
  • C. Users will not be able to make observations about the quantity of underlying data.
  • D. Snowflake secure views are more performant than regular views.
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Correct Answer: C  🗳️

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Question #4

The following code is run:

Then this statement is executed:

What will be the output of this statement?

  • A.
  • B.
  • C.
  • D.
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Correct Answer: D  🗳️

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Question #5

Which Snowflake feature allows users to encapsulate a series of SQL statements into a reusable database object, facilitating modular code development?

  • A. Stored procedure
  • B. Materialized view
  • C. Common Table Expressions (CTE)
  • D. User-Defined Function (UDF)
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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