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Snowflake ARA-C01 Exam Syllabus Topics:

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

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q17-Q22):

                                      NEW QUESTION # 17
                                      An Architect entered the following commands in sequence:

                                      USER1 cannot find the table.
                                      Which of the following commands does the Architect need to run for USER1 to find the tables using the Principle of Least Privilege? (Choose two.)

                                      Answer: A,E

                                      Explanation:
                                      * According to the Principle of Least Privilege, the Architect should grant the minimum privileges necessary for the USER1 to find the tables in the SANDBOX database.
                                      * The USER1 needs to have USAGE privilege on the SANDBOX database and the SANDBOX.PUBLIC schema to be able to access the tables in the PUBLIC schema. Therefore, the commands B and C are the correct ones to run.
                                      * The command A is not correct because the PUBLIC role is automatically granted to every user and role in the account, and it does not have any privileges on the SANDBOX database by default.
                                      * The command D is not correct because it would transfer the ownership of the SANDBOX database from the Architect to the USER1, which is not necessary and violates the Principle of Least Privilege.
                                      * The command E is not correct because it would grant all the possible privileges on the SANDBOX database to the USER1, which is also not necessary and violates the Principle of Least Privilege.
                                      References: : Snowflake - Principle of Least Privilege : Snowflake - Access Control Privileges : Snowflake - Public Role : Snowflake - Ownership and Grants


                                      NEW QUESTION # 18
                                      Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?

                                      Answer: A

                                      Explanation:
                                      To maximize memory and compute resources for a Snowpark stored procedure, you need to set the MAX_CONCURRENCY_LEVEL parameter for the warehouse that executes the stored procedure. This parameter determines the maximum number of concurrent queries that can run on a single warehouse. By setting it to 16, you ensure that the warehouse can use all the available CPU cores and memory on a single node, which is the optimal configuration for Snowpark-optimized warehouses. This will improve the performance and efficiency of the stored procedure, as it will not have to share resources with other queries or nodes. The other options are incorrect because they either do not change the MAX_CONCURRENCY_LEVEL parameter, or they set it to a lower value than 16, which will reduce the memory and compute resources for the stored procedure. References:
                                      * [Snowpark-optimized Warehouses] 1
                                      * [Training Machine Learning Models with Snowpark Python] 2
                                      * [Snowflake Shorts: Snowpark Optimized Warehouses] 3


                                      NEW QUESTION # 19
                                      A company has an inbound share set up with eight tables and five secure views. The company plans to make the share part of its production data pipelines.
                                      Which actions can the company take with the inbound share? (Choose two.)

                                      Answer: D,E


                                      NEW QUESTION # 20
                                      Which statements describe characteristics of the use of materialized views in Snowflake? (Choose two.)

                                      Answer: D,E

                                      Explanation:
                                      Explanation
                                      According to the Snowflake documentation, materialized views have some limitations on the query specification that defines them. One of these limitations is that they cannot include nested subqueries, such as subqueries in the FROM clause or scalar subqueries in the SELECT list. Another limitation is that they cannot include ORDER BY clauses, context functions (such as CURRENT_TIME()), or outer joins. However, materialized views can support MIN and MAX aggregates, as well as other aggregate functions, such as SUM, COUNT, and AVG.
                                      References:
                                      * Limitations on Creating Materialized Views | Snowflake Documentation
                                      * Working with Materialized Views | Snowflake Documentation


                                      NEW QUESTION # 21
                                      A company has a Snowflake account named ACCOUNTA in AWS us-east-1 region. The company stores its marketing data in a Snowflake database named MARKET_DB. One of the company's business partners has an account named PARTNERB in Azure East US 2 region. For marketing purposes the company has agreed to share the database MARKET_DB with the partner account.
                                      Which of the following steps MUST be performed for the account PARTNERB to consume data from the MARKET_DB database?

                                      Answer: C

                                      Explanation:
                                      * Snowflake supports data sharing across regions and cloud platforms using account replication and share replication features. Account replication enables the replication of objects from a source account to one or more target accounts in the same organization. Share replication enables the replication of shares from a source account to one or more target accounts in the same organization1.
                                      * To share data from the MARKET_DB database in the ACCOUNTA account in AWS us-east-1 region with the PARTNERB account in Azure East US 2 region, the following steps must be performed:
                                      * Create a new account (called AZABC123) in Azure East US 2 region. This account will act as a bridge between the source and the target accounts. The new account must be linked to the ACCOUNTA account using an organization2.
                                      * From the ACCOUNTA account, replicate the MARKET_DB database to the AZABC123 account using the account replication feature. This will create a secondary database in the AZABC123 account that is a replica of the primary database in the ACCOUNTA account3.
                                      * From the AZABC123 account, set up the data sharing to the PARTNERB account using the share replication feature. This will create a share of the secondary database in the AZABC123 account and grant access to the PARTNERB account. The PARTNERB account can then create a database from the share and query the data4.
                                      * Therefore, option C is the correct answer.
                                      Replicating Shares Across Regions and Cloud Platforms : Working with Organizations and Accounts : Replicating Databases Across Multiple Accounts : Replicating Shares Across Multiple Accounts


                                      NEW QUESTION # 22
                                      ......

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