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Snowflake SnowPro-Core Exam Syllabus Topics:

SectionWeightObjectives
Snowflake Architecture and Data Cloud Concepts25%- Snowflake architecture overview
  • 1. Compute layer (virtual warehouses)
    • 2. Cloud services layer
      • 3. Storage layer
        - Data Cloud fundamentals
        • 1. Shared data architecture
          • 2. Separation of storage and compute
            Performance and Optimization15%- Virtual warehouse optimization
            • 1. Scaling strategies
              - Query performance
              • 1. Query profiling
                • 2. Caching mechanisms
                  Data Loading and Unloading20%- Data export
                  • 1. UNLOAD operations
                    - Data ingestion
                    • 1. Stages (internal/external)
                      • 2. COPY INTO command
                        Data Sharing and Marketplace10%- Secure data sharing
                        • 1. Shares and consumers
                          - Snowflake Marketplace
                          • 1. Data exchange concepts
                            Account Access and Security10%- Authentication and authorization
                            • 1. Roles and privileges
                              • 2. User management
                                - Data security features
                                • 1. Encryption
                                  • 2. Network policies
                                    Data Transformation and Processing20%- Data pipelines
                                    • 1. Streams and tasks
                                      • 2. Data transformation workflows
                                        - SQL processing
                                        • 1. Joins and subqueries
                                          • 2. SELECT queries

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                                            Snowflake SnowPro Core Certification Exam Sample Questions (Q119-Q124):

                                            NEW QUESTION # 119
                                            What happens when a virtual warehouse is resized?

                                            Answer: B

                                            Explanation:
                                            When a virtual warehouse in Snowflake is resized, specifically when it is increased in size, the additional compute resources become immediately available to all running and queued queries. This means that the performance of these queries can improve due to the increased resources. Conversely, when the size of a warehouse is reduced, the compute resources are not removed until they are no longer being used by any current operations1.
                                            References:
                                            * [COF-C02] SnowPro Core Certification Exam Study Guide
                                            * Snowflake Documentation on Virtual Warehouses2


                                            NEW QUESTION # 120
                                            Data storage for individual tables can be monitored using which commands and/or objects? (Choose two.)

                                            Answer: A,E


                                            NEW QUESTION # 121
                                            When cloning a database, what is cloned with the database? (Choose two.)

                                            Answer: A,E

                                            Explanation:
                                            When cloning a database in Snowflake, the clone includes all privileges on the database as well as existing child objects within the database, such as schemas, tables, views, etc. However, it does not include future child objects or privileges on schemas within the database2.
                                            References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation


                                            NEW QUESTION # 122
                                            What can be used to view warehouse usage over time? (Select Two).

                                            Answer: A,E

                                            Explanation:
                                            To view warehouse usage over time, the Query history view and the
                                            WAREHOUSE_METERING__HISTORY View can be utilized. The Query history view allows users to monitor the performance of their queries and the load on their warehouses over a specified period1. The WAREHOUSE_METERING__HISTORY View provides detailed information about the workload on a warehouse within a specified date range, including average running and queued loads2. References:
                                            [COF-C02] SnowPro Core Certification Exam Study Guide


                                            NEW QUESTION # 123
                                            What is a limitation of a Materialized View?

                                            Answer: C

                                            Explanation:
                                            Explanation
                                            There are several limitations to using materialized views:
                                            * A materialized view can query only a single table.
                                            * Joins, including self-joins, are not supported.


                                            NEW QUESTION # 124
                                            ......

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