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Snowflake ARA-C01 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Architecture and Design- Design scalable Snowflake architectures
  • 1. Multi-cluster virtual warehouse design
    • 2. Account and environment strategy
      - Data modeling and schema design
      • 1. Star and snowflake schema concepts
        • 2. Semi-structured data modeling
          Topic 2: Data Pipelines and Data Engineering- Data orchestration
          • 1. Pipeline design patterns
            • 2. Tasks and Streams usage
              - Data ingestion and transformation
              • 1. Snowpipe and continuous data loading
                • 2. Batch and streaming ingestion
                  Topic 3: Data Sharing and Collaboration- Secure data sharing
                  • 1. Data marketplace concepts
                    • 2. Cross-account data sharing
                      Topic 4: Security, Governance, and Compliance- Access control and security model
                      • 1. Network security and authentication
                        • 2. Role-based access control (RBAC)
                          - Data governance
                          • 1. Data classification and masking policies
                            • 2. Audit and compliance features
                              Topic 5: Performance and Optimization- Cost optimization
                              • 1. Storage and compute efficiency
                                • 2. Resource monitoring and cost control
                                  - Query performance tuning
                                  • 1. Query profiling and optimization techniques
                                    • 2. Warehouse sizing and scaling

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q10-Q15):

                                      NEW QUESTION # 10
                                      A new user user_01 is created within Snowflake. The following two commands are executed:
                                      Command 1-> show grants to user user_01;
                                      Command 2 ~> show grants on user user 01;
                                      What inferences can be made about these commands?

                                      Answer: A

                                      Explanation:
                                      The SHOW GRANTS command in Snowflake can be used to list all the access control privileges that have been explicitly granted to roles, users, and shares. The syntax and the output of the command vary depending on the object type and the grantee type specified in the command1. In this question, the two commands have the following meanings:
                                      Command 1: show grants to user user_01; This command lists all the roles granted to the user user_01. The output includes the role name, the grantee name, and the granted by role name for each grant. This command is equivalent to show grants to user current_user if user_01 is the current user1.
                                      Command 2: show grants on user user_01; This command lists all the privileges that have been granted on the user object user_01. The output includes the privilege name, the grantee name, and the granted by role name for each grant. This command shows which role owns the user object user_01, as the owner role has the privilege to modify or drop the user object2.
                                      Therefore, the correct inference is that command 1 defines all the grants which are given to user_01, and command 2 defines which role owns user_01.
                                      Reference:
                                      SHOW GRANTS
                                      Understanding Access Control in Snowflake


                                      NEW QUESTION # 11
                                      What considerations need to be taken when using database cloning as a tool for data lifecycle management in a development environment? (Select TWO).

                                      Answer: C,D


                                      NEW QUESTION # 12
                                      How does a standard virtual warehouse policy work in Snowflake?

                                      Answer: C

                                      Explanation:
                                      A standard virtual warehouse policy is one of the two scaling policies available for multi-cluster warehouses in Snowflake. The other policy is economic. A standard policy aims to prevent or minimize queuing by starting additional clusters as soon as the current cluster is fully loaded, regardless of the number of queries in the queue. This policy can improve query performance and concurrency, but it may also consume more credits than an economic policy, which tries to conserve credits by keeping the running clusters fully loaded before starting additional clusters. The scaling policy can be set when creating or modifying a warehouse, and it can be changed at any time.
                                      Snowflake Documentation: Multi-cluster Warehouses
                                      Snowflake Documentation: Scaling Policy for Multi-cluster Warehouses


                                      NEW QUESTION # 13
                                      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: C

                                      Explanation:
                                      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.
                                      References:
                                      * Snowflake Documentation: Stored Procedures
                                      * Snowflake Documentation: Understanding Caller's Rights and Owner's Rights Stored Procedures


                                      NEW QUESTION # 14
                                      What is a key consideration when setting up search optimization service for a table?

                                      Answer: D

                                      Explanation:
                                      A: The Search Optimization Service is designed to accelerate the performance of queries that use filters on large tables. One of the key considerations for its effectiveness is using it with tables where the columns used in the filter conditions have a high number of distinct values, typically in the hundreds of thousands or more.
                                      This is because the service creates a map-reduce-like index on the column to speed up queries that use point lookups or range scans on that column. The more unique values there are, the more effective the index is at narrowing down the search space.References: Snowflake documentation and best practices on the Search Optimization Service, which would be covered under the SnowPro Advanced: Architect certification materials.


                                      NEW QUESTION # 15
                                      ......

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