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DAA-C01 pdf
  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Sep 07, 2026
  • Q & A: 67 Questions and Answers
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  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
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Snowflake DAA-C01 Exam Syllabus Topics:

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

                                        Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

                                        Question 1

                                        A Data Analyst for a ride-sharing company needs to assess the relationship between the number of active drivers in a city, and the average waiting time for passengers. Which query will determine if an increase in the number of active drivers is associated with a decrease in the average waiting time?

                                        A. SELECT CITY, SUM(ACTIVE_DRIVERS), AVG(AVERAGE_WAITING_TIME) FROM
                                        RIDE_DATA GROUP BY CITY;
                                        B. SELECT CITY, VARIANCE(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM
                                        RIDE_DATA GROUP BY CITY;
                                        C. SELECT CITY, SUM(ACTIVE_DRIVERS), VARIANCE(AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;
                                        D. SELECT CITY, CORR(ACTIVE_DRIVERS, AVERAGE_WAITING_TIME) FROM RIDE_DATA GROUP BY CITY;


                                        Question 2

                                        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. ST_LENGTH
                                        B. ST_DISTANCE
                                        C. HAVERSINE
                                        D. ST_HAUSDORFFDISTANCE


                                        Question 3

                                        Which query will provide this data without incurring additional storage costs?

                                        A. CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.
                                        TRANS_HIST);
                                        B. CREATE TABLE DEV.PUBLIC.TRANS_HIST AS (SELECT * FROM PROD.PUBLIC.TRANS_HIST WHERE extract(year from (TRANS_DATE)) = 2019);
                                        C. CREATE TABLE DEV.PUBLIC.TRANS_HIST CLONE PROD.PUBLIC.TRANS_HIST;
                                        D. CREATE TABLE DEV.PUBLIC.TRANS_HIST LIKE PROD.PUBLIC.TRANS_HIST;


                                        Question 4

                                        A Data Analyst executes a query in a Snowflake worksheet that returns the total number of daily sales, and the total amount for each sale. How can the Analyst check the distribution of the total amount, without running the query again?

                                        A. Call the WIDTH_BUCKET function.
                                        B. Go to Chart and select a histogram that includes the two variables.
                                        C. Go to Chart and select a bar chart that contains the two variables.
                                        D. Click on the column header in the results and review the histogram.


                                        Question 5

                                        What are the PRIMARY reasons for using integrity constraints on Snowflake tables? (Select TWO).

                                        A. To enforce that records with a NOT NULL column must have values in that column.
                                        B. To enforce that records with a UNIQUE column must have all distinct values in that column.
                                        C. To allow for clustering on the primary and foreign keys by specifying them as clustering keys.
                                        D. To enable team members to see how tables relate to one another.
                                        E. To enforce that a value in a foreign key must match the value of a primary or unique key in a parent table.


                                        Solutions:

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

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