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

DAA-C01 Exam Questions
  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Aug 08, 2026
  • Q & A: 67 Questions and Answers
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Snowflake DAA-C01 Exam Syllabus Topics:

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

                                        Snowflake SnowPro Advanced: Data Analyst Certification Sample Questions:

                                        1. A large, complicated query is used to generate a data set for a report on the most recent month. It is taking longer than expected. A review of the Query Profile shows excessive spilling. How can the performance of the query be improved WITHOUT increasing costs?

                                        A) Change the source tables into external tables to establish and take advantage of custom partitioning.
                                        B) Split the query into multiple steps, replacing Common Table Expressions (CTEs) with temporary tables to process the data in smaller batches.
                                        C) Create a materialized view clustered on a date column, on the table that is causing the spilling.
                                        D) Run the query against zero-copy clones of the source tables to avoid contention with other queries.


                                        2. Given the following data:

                                        This SELECT statement is executed:

                                        What will be the result?

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


                                        3. 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 view in the GLOBAL_DWH database.
                                        B) 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.
                                        C) Create a new schema called ENRICHED in the ADDRESS_DATA database and create this view in the ENRICHED schema.
                                        D) Create a view in the ADDRESS_DATA database.


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

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


                                        5. 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 = :date_filter
                                        C) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())
                                        D) Where start_time = :daterange


                                        Solutions:

                                        Question # 1
                                        Answer: B
                                        Question # 2
                                        Answer: A
                                        Question # 3
                                        Answer: A
                                        Question # 4
                                        Answer: A
                                        Question # 5
                                        Answer: D

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