Snowflake DAA-C01 Exam : SnowPro Advanced: Data Analyst Certification Exam

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
Data Analysis30%-32%- Perform advanced analytics using SQL
  • 1. Aggregate functions
  • 2. Time-series analysis
  • 3. Snowflake-specific analytical features
Data Transformation and Data Modeling22%-30%- Transform data using SQL
  • 1. Window functions
  • 2. Common Table Expressions (CTEs)
  • 3. PIVOT/UNPIVOT operations
  • 4. QUALIFY clauses
- Design data models
  • 1. Star schema design
  • 2. Data vault models
  • 3. Snowflake schema design
Data Presentation and Data Visualization28%-29%- Integrate with BI tools
  • 1. Other partner visualization tools
  • 2. Power BI integration
  • 3. Tableau integration
- Create dashboards
  • 1. Present analytical results
  • 2. Snowsight dashboards
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. Query tables to assess data elements and statistics maintained by Snowflake
  • 3. Determine the level of data granularity required
  • 4. Use commands to read metadata or alter context (DESCRIBE, SHOW, USE)
  • 5. Identify elements required for business goals using BI reports or SQL analysis
- Prepare data and load into Snowflake
  • 1. Load data from external/internal stages into a table
  • 2. Load files using Snowsight
- 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
- Enrich data by identifying and accessing relevant data from the Snowflake Marketplace
  • 1. Use Secure Data Sharing (Marketplace, Internal Marketplace, Private Listings, Listings)
  • 2. Create tables and views
  • 3. Find external data sets that correlate with available data
- Implement data processing solutions
  • 1. Cleanse, conform, and enrich data
  • 2. Respond to processing failures
  • 3. Use logging and monitoring solutions (auditing, data lineage)
  • 4. Automate and implement data pipelines (scheduling)
- 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)

Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

1. A Data Analyst needs to add address details based on a customer's latitude and longitude to a customer sales database. The Analyst found a free Worldwide Address Data listing on the Snowflake Marketplace. The ACCOUNTADMIN placed the data set into a new database called ADDRESS_DATA. The Data Analyst needs to join the ADDRESS_DATA.OPENADDRESS table with the ORDERS table which is stored in the GLOBAL_DWH database. The combined data set needs to be created as a view. How can this be achieved?

A) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
B) Create a view in the GLOBAL_DWH database.
C) Create a view in the ADDRESS_DATA database.
D) Ask the ACCOUNTADMIN to grant the Data Analyst the IMPORTED_PRIVILEGES on the ADDRESS_DATA database and then create a view in the ADDRESS_DATA database.


2. 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


3. What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A) A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.
B) A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.
C) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.
D) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.


4. Given the following data:

This SELECT statement is executed:

What will be the result?

A) 1.84
B) 200
C) 2.0
D) 1.8


5. A Data Analyst executes a complex query. Which query will allow the Analyst to access the results a second time?

A) SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
B) SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());
C) SELECT LAST_QUERY_ID(-1);
D) DESC RESULT LAST_QUERY_ID();


Solutions:

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

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