Quiz 2026 ADA-C02: SnowPro Advanced Administrator ADA-C02 Fantastic Dumps Download

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Snowflake ADA-C02 Exam Syllabus Topics:

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

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                          Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q56-Q61):

                          NEW QUESTION # 56
                          An organization's sales team leverages this Snowflake query a few times a day:
                          SELECT CUSTOMER_ID, CUSTOMER_NAME, ADDRESS, PHONE_NO
                          FROM CUSTOMERS
                          WHERE LAST_UPDATED BETWEEN TO_DATE(CURRENT_TIMESTAMP) AND (TO_DATE(CURRENT_TIMESTAMP)-7);
                          What can the Snowflake Administrator do to optimize the use of persisted query results whenever possible?

                          Answer: A

                          Explanation:
                          Query result caching in Snowflake requires queries to be textually identical. Using CURRENT_TIMESTAMP causes queries to differ on each execution. By switching to CURRENT_DATE, the query becomes stable within a day, allowing Snowflake to reuse persisted results and improve performance.


                          NEW QUESTION # 57
                          A Snowflake account is configured with SCIM provisioning for user accounts and has bi-directional synchronization for user identities. An Administrator with access to SECURITYADMIN uses the Snowflake UI to create a user by issuing the following commands:
                          use role USERADMIN;
                          create or replace role DEVELOPER_ROLE;
                          create user PTORRES PASSWORD = 'hello world!' MUST_CHANGE_PASSWORD = FALSE
                          default_role = DEVELOPER_ROLE;
                          The new user named PTORRES successfully logs in, but sees a default role of PUBLIC in the web UI. When attempted, the following command fails:
                          use DEVELOPER_ROLE;
                          Why does this command fail?

                          Answer: B

                          Explanation:
                          Creating a user in Snowflake does not automatically grant them roles beyond PUBLIC. To use DEVELOPER_ROLE, the USERADMIN (or another role with MANAGE GRANTS privilege) must explicitly grant DEVELOPER_ROLE to PTORRES. Without this grant, the user cannot assume the role.


                          NEW QUESTION # 58
                          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.)

                          Answer: C,E

                          Explanation:
                          To ensure consistent recovery, fact and dimension tables must have the same DATA_RETENTION_TIME_IN_DAYS, so they can be restored to the same point in time.
                          Cloning the fact and dimension tables together with consistent Time Travel options ensures data integrity and avoids referential mismatches when reverting to a prior state.


                          NEW QUESTION # 59
                          A large international company with many operating regions requires data to be shared bi-directionally among all offices (head office to regional offices and regional offices among themselves). This company is a Snowflake account holder with European operations deployed in Microsoft Azure (single region) while North American regional offices are using AWS (single region) as their deployment cloud. This setup is required to comply with Personal Identifiable Information (PII) regulations in some of the European countries. The corporate head office is in Europe.
                          How can this data be shared bi-directionally, while MINIMIZING costs?

                          Answer: A

                          Explanation:
                          Direct data sharing is the most cost-efficient method when accounts are in the same region and cloud. For cross-continent or cross-cloud sharing, Snowflake requires replication. Combining both - data sharing within the same region and replication across continents - ensures compliance, minimizes costs, and enables bi-directional sharing.


                          NEW QUESTION # 60
                          What are characteristics of Dynamic Data Masking? (Choose two.)

                          Answer: A,E

                          Explanation:
                          A masking policy applied to a table or column can be dropped or replaced as needed.
                          The same masking policy can be reused and applied to columns in different tables.


                          NEW QUESTION # 61
                          ......

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