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Snowflake ARA-C01 Exam Syllabus Topics:

SectionObjectives
Performance and Optimization- Cost optimization
  • 1. Resource monitoring and cost control
    • 2. Storage and compute efficiency
      - Query performance tuning
      • 1. Query profiling and optimization techniques
        • 2. Warehouse sizing and scaling
          Security, Governance, and Compliance- Data governance
          • 1. Audit and compliance features
            • 2. Data classification and masking policies
              - Access control and security model
              • 1. Network security and authentication
                • 2. Role-based access control (RBAC)
                  Data Pipelines and Data Engineering- Data orchestration
                  • 1. Tasks and Streams usage
                    • 2. Pipeline design patterns
                      - Data ingestion and transformation
                      • 1. Snowpipe and continuous data loading
                        • 2. Batch and streaming ingestion
                          Data Architecture and Design- Design scalable Snowflake architectures
                          • 1. Account and environment strategy
                            • 2. Multi-cluster virtual warehouse design
                              - Data modeling and schema design
                              • 1. Star and snowflake schema concepts
                                • 2. Semi-structured data modeling
                                  Data Sharing and Collaboration- Secure data sharing
                                  • 1. Data marketplace concepts
                                    • 2. Cross-account data sharing

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q143-Q148):

                                      NEW QUESTION # 143
                                      An Architect needs to grant a group of ORDER_ADMIN users the ability to clean old data in an ORDERS table (deleting all records older than 5 years), without granting any privileges on the table. The group's manager (ORDER_MANAGER) has full DELETE privileges on the table.
                                      How can the ORDER_ADMIN role be enabled to perform this data cleanup, without needing the DELETE privilege held by the ORDER_MANAGER role?

                                      Answer: D

                                      Explanation:
                                      This is the correct answer because it allows the ORDER_ADMIN role to perform the data cleanup without needing the DELETE privilege on the ORDERS table. A stored procedure is a feature that allows scheduling and executing SQL statements or stored procedures in Snowflake. A stored procedure can run with either the caller's rights or the owner's rights. A caller's rights stored procedure runs with the privileges of the role that called the stored procedure, while an owner's rights stored procedure runs with the privileges of the role that created the stored procedure. By creating a stored procedure that runs with owner's rights, the ORDER_MANAGER role can delegate the specific task of deleting old data to the ORDER_ADMIN role, without granting the ORDER_ADMIN role more general privileges on the ORDERS table. The stored procedure must include the appropriate business logic to delete only the records older than 5 years, and the ORDER_MANAGER role must grant the USAGE privilege on the stored procedure to the ORDER_ADMIN role. The ORDER_ADMIN role can then execute the stored procedure to perform the data cleanup12.
                                      Reference:
                                      Snowflake Documentation: Stored Procedures
                                      Snowflake Documentation: Understanding Caller's Rights and Owner's Rights Stored Procedures


                                      NEW QUESTION # 144
                                      Which of the below operations are allowed on an inbound share data?

                                      Answer: A,B


                                      NEW QUESTION # 145
                                      Which Snowflake data modeling approach is designed for BI queries?

                                      Answer: A

                                      Explanation:
                                      In the context of business intelligence (BI) queries, which are typically focused on data analysis and reporting, the star schema is the most suitable data modeling approach.
                                      Option B: Star Schema - The star schema is a type of relational database schema that is widely used for developing data warehouses and data marts for BI purposes. It consists of a central fact table surrounded by dimension tables. The fact table contains the core data metrics, and the dimension tables contain descriptive attributes related to the fact data. The simplicity of the star schema allows for efficient querying and aggregation, which are common operations in BI reporting.


                                      NEW QUESTION # 146
                                      What actions are permitted when using the Snowflake SQL REST API? (Select TWO).

                                      Answer: A,D


                                      NEW QUESTION # 147
                                      What is the recommended strategy to choose the right sized warehouse to achieve best performance based on query processing?

                                      Answer: B


                                      NEW QUESTION # 148
                                      ......

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