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Snowflake ARA-C01 Exam Syllabus Topics:

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

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q203-Q208):

                                      NEW QUESTION # 203
                                      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: B


                                      NEW QUESTION # 204
                                      How can the Snowpipe REST API be used to keep a log of data load history?

                                      Answer: A


                                      NEW QUESTION # 205
                                      What Snowflake features should be leveraged when modeling using Data Vault?

                                      Answer: B,C

                                      Explanation:
                                      These two features are relevant for modeling using Data Vault on Snowflake. Data Vault is a data modeling approach that organizes data into hubs, links, and satellites. Data Vault is designed to enable high scalability, flexibility, and performance for data integration and analytics. Snowflake is a cloud data platform that supports various data modeling techniques, including Data Vault. Snowflake provides some features that can enhance the Data Vault modeling, such as:
                                      Snowflake's support of multi-table inserts into the data model's Data Vault tables. Multi-table inserts (MTI) are a feature that allows inserting data from a single query into multiple tables in a single DML statement. MTI can improve the performance and efficiency of loading data into Data Vault tables, especially for real-time or near-real-time data integration. MTI can also reduce the complexity and maintenance of the loading code, as well as the data duplication and latency12.
                                      Scaling up the virtual warehouses will support parallel processing of new source loads. Virtual warehouses are a feature that allows provisioning compute resources on demand for data processing. Virtual warehouses can be scaled up or down by changing the size of the warehouse, which determines the number of servers in the warehouse. Scaling up the virtual warehouses can improve the performance and concurrency of processing new source loads into Data Vault tables, especially for large or complex data sets. Scaling up the virtual warehouses can also leverage the parallelism and distribution of Snowflake's architecture, which can optimize the data loading and querying34.
                                      Reference:
                                      Snowflake Documentation: Multi-table Inserts
                                      Snowflake Blog: Tips for Optimizing the Data Vault Architecture on Snowflake Snowflake Documentation: Virtual Warehouses Snowflake Blog: Building a Real-Time Data Vault in Snowflake


                                      NEW QUESTION # 206
                                      Which system functions does Snowflake provide to monitor clustering information within a table (Choose two.)

                                      Answer: A,B


                                      NEW QUESTION # 207
                                      The following statements have been executed successfully:
                                      USE ROLE SYSADMIN;
                                      CREATE OR REPLACE DATABASE DEV_TEST_DB;
                                      CREATE OR REPLACE SCHEMA DEV_TEST_DB.SCHTEST WITH MANAGED ACCESS;
                                      GRANT USAGE ON DATABASE DEV_TEST_DB TO ROLE DEV_PROJ_OWN;
                                      GRANT USAGE ON SCHEMA DEV_TEST_DB.SCHTEST TO ROLE DEV_PROJ_OWN;
                                      GRANT USAGE ON DATABASE DEV_TEST_DB TO ROLE ANALYST_PROJ;
                                      GRANT USAGE ON SCHEMA DEV_TEST_DB.SCHTEST TO ROLE ANALYST_PROJ;
                                      GRANT CREATE TABLE ON SCHEMA DEV_TEST_DB.SCHTEST TO ROLE DEV_PROJ_OWN;
                                      USE ROLE DEV_PROJ_OWN;
                                      CREATE OR REPLACE TABLE DEV_TEST_DB.SCHTEST.CURRENCY (
                                      COUNTRY VARCHAR(255),
                                      CURRENCY_NAME VARCHAR(255),
                                      ISO_CURRENCY_CODE VARCHAR(15),
                                      CURRENCY_CD NUMBER(38,0),
                                      MINOR_UNIT VARCHAR(255),
                                      WITHDRAWAL_DATE VARCHAR(255)
                                      );
                                      The role hierarchy is as follows (simplified from the diagram):
                                      * ACCOUNTADMIN## DEV_SYSADMIN## DEV_PROJ_OWN## ANALYST_PROJ
                                      Separately:
                                      * ACCOUNTADMIN## SYSADMIN## MAPPING_ROLE
                                      Which statements will return the records from the table
                                      DEV_TEST_DB.SCHTEST.CURRENCY? (Select TWO)

                                      Answer: A,E

                                      Explanation:
                                      This question evaluates deep understanding of Snowflake RBAC, managed access schemas, and privilege inheritance, all of which are core SnowPro Architect topics. The schema DEV_TEST_DB.SCHTEST is created WITH MANAGED ACCESS, meaning that only the schema owner (or a higher role in the hierarchy) can grant object privileges such as SELECT on tables within the schema.
                                      The table CURRENCY is created by the role DEV_PROJ_OWN, making it the table owner. As the owner, DEV_PROJ_OWN implicitly has full privileges on the table, including SELECT. Therefore, option B succeeds because the role selecting the data owns the table.
                                      In option A, DEV_PROJ_OWN explicitly grants SELECT on the table to ANALYST_PROJ. Since this grant is performed by the schema/table owner and the role ANALYST_PROJ already has USAGE on both the database and schema, the subsequent SELECT succeeds. This makes A valid.
                                      Option C fails because SYSADMIN does not inherit privileges from DEV_SYSADMIN or DEV_PROJ_OWN; Snowflake role inheritance is directional and not lateral. Option D fails for the same reason-MAPPING_ROLE has no privileges on the database or schema. Option E fails because ACCOUNTADMIN does not automatically bypass RBAC; without explicit USAGE and SELECT, access is denied.


                                      NEW QUESTION # 208
                                      ......

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