Snowflake SnowPro Advanced: Data Analyst Certification : DAA-C01

DAA-C01
  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Aug 13, 2026
  • Q & A: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

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

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst created a cost overview dashboard in Snowsight. Management has asked for a system date filter to easily change the time period and refresh the data in all dashboard tiles with a single filter selection.
The system date filter is shown below:

The Analyst wants to apply the filter onto individual dashboard components.
Adding which where clause to the queries will apply the filter as required?

A) Where start_time >= dateadd('days', -7, SYSDATE())
B) Where start_time = :daterange
C) Where start_time = :date_filter
D) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())


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

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


3. While loading data into Snowflake using named file formats, a file format defined in which location has precedence?

A) The schema definition
B) The COPY INTO statement
C) The table definition
D) The stage definition


4. Which aggregate functions can be used to provide values for a given bucket in Snowsight charts? (Select THREE).

A) HLL
B) Max
C) Average
D) Mode
E) Any Value
F) Standard Deviation


5. 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.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: B,C,E
Question # 5
Answer: C

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