ADA-C02 Sample Questions Pdf, ADA-C02 Latest Exam Book

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Snowflake ADA-C02 Exam Syllabus Topics:

SectionObjectives
Topic 1: Security and Access Control- Authentication and authorization
  • 1. Role-based access control (RBAC)
    • 2. Network policies and secure access
      Topic 2: Data Loading and Unloading- Bulk and continuous data ingestion
      • 1. Stages and file formats
        • 2. COPY INTO operations
          Topic 3: Account and Resource Administration- Account configuration and management
          • 1. Resource monitors and governance basics
            • 2. Users, roles, and permissions
              Topic 4: Data Protection and Recovery- Backup and recovery mechanisms
              • 1. Cloning and data recovery strategies
                • 2. Time Travel and Fail-safe concepts
                  Topic 5: Performance and Monitoring- Performance tuning and optimization
                  • 1. Warehouse sizing and scaling strategies
                    • 2. Query performance analysis
                      Topic 6: 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 (Q26-Q31):

                          NEW QUESTION # 26
                          An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
                          How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

                          Answer: A

                          Explanation:
                          A transient table is best suited for staging because it avoids long-term storage costs by not maintaining Fail-safe and can have Time Travel retention set to 0 days. This minimizes storage costs while still providing performance comparable to permanent tables, making it the optimal choice for daily staging data.


                          NEW QUESTION # 27
                          What is a characteristic of Snowflake's transaction locking and concurrency modeling?

                          Answer: D

                          Explanation:
                          Snowflake uses multi-version concurrency control (MVCC), which allows queries and DML statements to operate without blocking each other. This architecture eliminates the possibility of deadlocks because transactions work on snapshots of data rather than locking rows or tables in ways that could cause contention.


                          NEW QUESTION # 28
                          Which type of listing in the Snowflake Marketplace can be added and queried immediately?

                          Answer: C

                          Explanation:
                          A standard listing in the Snowflake Marketplace can be immediately added to an account and queried without requiring provider approval or additional setup.


                          NEW QUESTION # 29
                          An Administrator receives data from a Snowflake partner. The partner is sharing a dataset that contains multiple secure views. The Administrator would like to configure the data so that only certain roles can see certain secure views.
                          How can this be accomplished?

                          Answer: C

                          Explanation:
                          Permissions cannot be applied directly to objects in a shared database. To enforce role-based access, the Administrator must create views over the shared secure views in a local database and then apply RBAC privileges to those new views. This allows controlling which roles can see which data.


                          NEW QUESTION # 30
                          What are characteristics of Dynamic Data Masking? (Choose two.)

                          Answer: B,D

                          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 # 31
                          ......

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