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

  • Exam Code: DAA-C01
  • Exam Name: SnowPro Advanced: Data Analyst Certification Exam
  • Updated: Sep 12, 2026     Q & A: 67 Questions and Answers

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Snowflake DAA-C01 Exam Syllabus Topics:

SectionObjectives
Topic 1: Snowflake Architecture and Data Platform Fundamentals- Data platform fundamentals
  • 1. Separation of storage and compute
    • 2. Data lifecycle in Snowflake
      - Snowflake architecture concepts
      • 1. Virtual warehouses and scaling
        • 2. Cloud services layer, compute layer, storage layer
          Topic 2: 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
                  Topic 3: Security, Governance, and Data Sharing- Data sharing and governance
                  • 1. Data masking and policies
                    • 2. Secure data sharing
                      - Access control and security
                      • 1. Role-based access control (RBAC)
                        • 2. Authentication and encryption concepts
                          Topic 4: Data Modeling and Performance Optimization- Modeling approaches in Snowflake
                          • 1. Star and snowflake schemas
                            • 2. Data normalization vs denormalization
                              - Performance tuning
                              • 1. Warehouse sizing and auto-suspend/auto-resume
                                • 2. Clustering and pruning techniques
                                  Topic 5: 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 SnowPro Advanced: Data Analyst Certification Sample Questions:

                                        Question #1

                                        This command was executed:
                                        SQL
                                        SELECT seq4(), uniform(1, 10, RANDOM(12))
                                        FROM TABLE(GENERATOR(TIMELIMIT => NULL))
                                        ORDER BY 1;
                                        How many rows will be generated?

                                        • A. 0
                                        • B. 10
                                        • C. An infinite number
                                        • D. 12
                                        Reveal Solution  Discussion  0

                                        Correct Answer: A  🗳️

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

                                        Question #2

                                        Given the following data:

                                        This SELECT statement is executed:

                                        What will be the result?

                                        • A. 1.84
                                        • B. 2.0
                                        • C. 1.8
                                        • D. 200
                                        Reveal Solution  Discussion  0

                                        Correct Answer: B  🗳️

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

                                        Question #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 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. 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.
                                        • D. Create a view in the ADDRESS_DATA database.
                                        Reveal Solution  Discussion  0

                                        Correct Answer: B  🗳️

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

                                        Question #4

                                        A Data Analyst needs to rotate a table by transforming a wide table's columns into rows.

                                        Which operator will be MOST beneficial for producing this output?

                                        • A. UNPIVOT
                                        • B. PIVOT
                                        • C. EXCEPT
                                        • D. INTERSECT
                                        Reveal Solution  Discussion  0

                                        Correct Answer: A  🗳️

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

                                        Question #5

                                        A Data Analyst created a model called modelX using SNOWFLAKE.ML.FORECAST. The Analyst needs to predict the next few values and save the result directly into tableX. What step does the Analyst need to take after calling the modelX!FORECAST function?

                                        • A. List the cache content, then use the data saved in the RESULT_SCAN for tableX.
                                        • B. Load the function call results directly INTO tableX.
                                        • C. Pass the new table as a function argument.
                                        • D. Create the table by querying the RESULT_SCAN.
                                        Reveal Solution  Discussion  0

                                        Correct Answer: D  🗳️

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

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