Snowflake : DAA-C01 Questions & Answers

Last Updated: Oct 04, 2026

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionObjectives
Data Transformation and Analysis- Analytical workloads
  • 1. Query optimization for analytics
    • 2. Materialized views and caching
      - SQL-based transformations
      • 1. Semi-structured data (VARIANT, JSON, XML)
        • 2. Joins, aggregations, window functions
          Data Loading and Unloading- Data export
          • 1. UNLOAD and external stages
            - Data ingestion methods
            • 1. COPY INTO and bulk loading
              • 2. Continuous ingestion and Snowpipe concepts
                Snowflake Architecture and Data Platform Fundamentals- Snowflake architecture concepts
                • 1. Cloud services layer, compute layer, storage layer
                  • 2. Virtual warehouses and scaling
                    - Data platform fundamentals
                    • 1. Separation of storage and compute
                      • 2. Data lifecycle in Snowflake
                        Data Modeling and Performance Optimization- Performance tuning
                        • 1. Clustering and pruning techniques
                          • 2. Warehouse sizing and auto-suspend/auto-resume
                            - Modeling approaches in Snowflake
                            • 1. Star and snowflake schemas
                              • 2. Data normalization vs denormalization
                                Security, Governance, and Data Sharing- Access control and security
                                • 1. Authentication and encryption concepts
                                  • 2. Role-based access control (RBAC)
                                    - Data sharing and governance
                                    • 1. Data masking and policies
                                      • 2. Secure data sharing

                                        Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

                                        Question #1

                                        Which Snowflake SQL would a Data Analyst use in a trained Cortex model named forecast_model to retrieve the components that contribute to the predictions?

                                        • A. forecast_model!EXPLAIN_FEATURE_IMPORTANCE()
                                        • B. forecast_model!SHOW_TRAINING_LOGS()
                                        • C. forecast_model!FORECAST()
                                        • D. forecast_model!SHOW_EVALUATION_METRICS()
                                        Reveal Solution  Discussion  0

                                        Correct Answer: A  🗳️

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                                        Question #2

                                        Consider the following chart.

                                        What can be said about the correlation for sales over time between the two categories?

                                        • A. There is a positive correlation.
                                        • B. There is no correlation. (Selected)
                                        • C. There is a non-linear correlation.
                                        • D. There is a negative correlation.
                                        Reveal Solution  Discussion  0

                                        Correct Answer: B  🗳️

                                        Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).

                                        Question #3

                                        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 INFER_SCHEMA together with the CREATE TABLE USING TEMPLATE command.
                                        • C. Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE USING TEMPLATE command.
                                        • D. Use the INFER_SCHEMA together with the CREATE TABLE LIKE command.
                                        Reveal Solution  Discussion  0

                                        Correct Answer: B  🗳️

                                        Explanation: Only visible for ActualTorrent members. You can sign-up / login (it's free).

                                        Question #4

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

                                        • A. SELECT * FROM TABLE(INFORMATION_SCHEMA.QUERY_HISTORY());
                                        • B. SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
                                        • C. SELECT LAST_QUERY_ID(-1);
                                        • D. DESC RESULT LAST_QUERY_ID();
                                        Reveal Solution  Discussion  0

                                        Correct Answer: B  🗳️

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                                        Question #5

                                        A company is looking for new headquarters and wants to minimize the distances employees have to commute.
                                        The company has geographic data on employees' residences. Through the Snowflake Marketplace, the company obtained geographic data for possible locations of the new headquarters. How can the distance between an employee's residence and potential headquarters locations be calculated in meters with the LEAST operational overhead?

                                        • A. HAVERSINE
                                        • B. ST_LENGTH
                                        • C. ST_DISTANCE
                                        • D. ST_HAUSDORFFDISTANCE
                                        Reveal Solution  Discussion  0

                                        Correct Answer: C  🗳️

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