Snowflake : ADA-C02 Questions & Answers

Last Updated: Sep 13, 2026

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Snowflake ADA-C02 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Protection and Recovery- Backup and recovery mechanisms
  • 1. Cloning and data recovery strategies
    • 2. Time Travel and Fail-safe concepts
      Topic 2: Performance and Monitoring- Performance tuning and optimization
      • 1. Warehouse sizing and scaling strategies
        • 2. Query performance analysis
          Topic 3: Snowflake Architecture and Virtual Warehouses- Snowflake architecture concepts
          • 1. Virtual warehouse usage and scaling
            • 2. Separation of storage and compute
              Topic 4: Data Loading and Unloading- Bulk and continuous data ingestion
              • 1. Stages and file formats
                • 2. COPY INTO operations
                  Topic 5: Security and Access Control- Authentication and authorization
                  • 1. Network policies and secure access
                    • 2. Role-based access control (RBAC)
                      Topic 6: Account and Resource Administration- Account configuration and management
                      • 1. Resource monitors and governance basics
                        • 2. Users, roles, and permissions

                          Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions:

                          Question #1

                          What SCIM integration types are supported in Snowflake? (Choose three.)

                          • A. Azure Active Directory (Azure AD)
                          • B. Duo Security Provisioning Connector
                          • C. Google Cloud Platform (GCP)
                          • D. Custom
                          • E. Okta
                          • F. Amazon Web Services (AWS)
                          Reveal Solution  Discussion  0

                          Correct Answer: A,D,E  🗳️

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

                          Question #2

                          A retailer uses a TRANSACTIONS table (100M rows, 1.2 TB) that has been clustered by the STORE_ID column (varchar(50)). The vast majority of analyses on this table are grouped by STORE_ID to look at store performance.
                          There are 1000 stores operated by the retailer but most sales come from only 20 stores. The Administrator notes that most queries are currently experiencing poor pruning, with large amounts of bytes processed by even simple queries.
                          Why is this occurring?

                          • A. The table is not big enough to take advantage of the clustering key.
                          • B. Sales across stores are not uniformly distributed.
                          • C. The STORE_ID should be numeric.
                          • D. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

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                          Question #3

                          A Snowflake Administrator needs to set up Time Travel for a presentation area that includes facts and dimensions tables, and receives a lot of meaningless and erroneous IoT data. Time Travel is being used as a component of the company's data quality process in which the ingestion pipeline should revert to a known quality data state if any anomalies are detected in the latest load. Data from the past 30 days may have to be retrieved because of latencies in the data acquisition process.
                          According to best practices, how should these requirements be met? (Choose two.)

                          • A. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
                          • B. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.
                          • C. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
                          • D. The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
                          • E. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
                          Reveal Solution  Discussion  0

                          Correct Answer: B,D  🗳️

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

                          Question #4

                          A Snowflake Administrator needs to persist all virtual warehouse configurations for auditing and backups. Given a table already exists with the following schema:
                          Table Name: VWH_META
                          Column 1: SNAPSHOT_TIME TIMESTAMP_NTZ
                          Column 2: CONFIG VARIANT
                          Which commands should be executed to persist the warehouse data at the time of execution in JSON format in the table VWH_META?

                          • A. SHOW WAREHOUSES;
                            INSERT INTO VWH_META
                            SELECT CURRENT_TIMESTAMP(),
                            OBJECT_CONSTRUCT(*)
                            FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
                          • B. SHOW WAREHOUSES;
                            INSERT INTO VWH_META
                            SELECT CURRENT_TIMESTAMP(),
                            FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));
                          • C. SHOW WAREHOUSES;
                            INSERT INTO VWH_META
                            SELECT CURRENT_TIMESTAMP(), *
                            FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
                          • D. SHOW WAREHOUSES;
                            INSERT INTO VWH_META
                            SELECT CURRENT_TIMESTAMP(), *
                            FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
                          Reveal Solution  Discussion  0

                          Correct Answer: A  🗳️

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

                          Question #5

                          What roles can be used to create network policies within Snowflake accounts? (Choose three.)

                          • A. ACCOUNTADMIN
                          • B. SECURITYADMIN
                          • C. Any role with the global permission of CREATE NETWORK POLICY
                          • D. ORGADMIN
                          • E. Any role that owns the database where the network policy is created
                          • F. SYSADMIN
                          Reveal Solution  Discussion  0

                          Correct Answer: A,B,D  🗳️

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

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