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

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                          Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q61-Q66):

                          NEW QUESTION # 61
                          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?

                          Answer: D

                          Explanation:
                          Clustering is effective when data distribution across the clustering key is relatively uniform. In this case, most transactions are concentrated in only 20 of the 1000 stores, leading to skewed data distribution. This imbalance causes poor pruning, since large portions of micro-partitions still need to be scanned, even for queries targeting specific stores.


                          NEW QUESTION # 62
                          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 # 63
                          Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)

                          Answer: C,D

                          Explanation:
                          Dropping a column from a table or renaming a table breaks the shared schema and can cause dependent queries to fail for consumers. These are considered breaking changes to shared data in the Snowflake Marketplace.


                          NEW QUESTION # 64
                          If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

                          Answer: B

                          Explanation:
                          Even if a query matches the definition of a materialized view, the Snowflake optimizer may decide not to rewrite the query to use it. The optimizer evaluates factors such as freshness, cost, and efficiency before choosing whether or not to substitute the materialized view.


                          NEW QUESTION # 65
                          A team is provisioning new lower environments from the production database using cloning. All production objects and references reside in the database, and do not have external references.
                          What set of object references needs to be re-pointed before granting access for usage?

                          Answer: D

                          Explanation:
                          When cloning a database in Snowflake, all objects - including sequences, views, secure views, and materialized views - are fully contained within the cloned database. Since there are no external references, no object references need to be re-pointed before granting access.


                          NEW QUESTION # 66
                          ......

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