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Snowflake ARA-C01 Exam Syllabus Topics:

SectionObjectives
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
          Security, Governance, and Compliance- Access control and security model
          • 1. Network security and authentication
            • 2. Role-based access control (RBAC)
              - Data governance
              • 1. Audit and compliance features
                • 2. Data classification and masking policies
                  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
                          Data Sharing and Collaboration- Secure data sharing
                          • 1. Data marketplace concepts
                            • 2. Cross-account data sharing
                              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

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                                      Pass Guaranteed Quiz Snowflake - ARA-C01 - SnowPro Advanced Architect Certification –High-quality Valid Dumps Pdf

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q88-Q93):

                                      NEW QUESTION # 88
                                      A retail company has over 3000 stores all using the same Point of Sale (POS) system. The company wants to deliver near real-time sales results to category managers. The stores operate in a variety of time zones and exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than others.
                                      Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions interfaced to scoring algorithms. The source data for aggregations has over 100M rows.
                                      Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention that includes store numbers and timestamps to identify the set of transactions contained in the files. The files are typically less than 10MB in size.
                                      How can the near real-time results be provided to the category managers? (Select TWO).

                                      Answer: B,C


                                      NEW QUESTION # 89
                                      A group of marketing and advertising companies want to share data with one another for joint analysis while maintaining strict privacy controls.
                                      How should an Architect design the data sharing solution?

                                      Answer: B

                                      Explanation:
                                      Snowflake Data Clean Rooms are specifically designed for privacy-preserving collaboration between organizations. They allow multiple parties to perform joint analytics on combined datasets without exposing raw underlying data to one another (Answer A). This makes them ideal for marketing and advertising use cases where sensitive customer data must remain private while still enabling insights such as audience overlap and campaign effectiveness.
                                      Secure Data Sharing and Data Exchanges allow data access but do not inherently prevent participants from seeing raw data. Snowflake Marketplace is designed for broad data distribution rather than tightly controlled, privacy-centric collaboration.
                                      For SnowPro Architect candidates, this question emphasizes selecting the right Snowflake-native collaboration mechanism based on privacy and governance requirements.
                                      =========


                                      NEW QUESTION # 90
                                      Company A has recently acquired company B. The Snowflake deployment for company B is located in the Azure West Europe region.
                                      As part of the integration process, an Architect has been asked to consolidate company B's sales data into company A's Snowflake account which is located in the AWS us-east-1 region.
                                      How can this requirement be met?

                                      Answer: B

                                      Explanation:
                                      The best way to meet the requirement of consolidating company B's sales data into company A's Snowflake account is to use cross-region data replication within Snowflake. This feature allows data providers to securely share data with data consumers across different regions and cloud platforms. By replicating the sales data from company B's account in Azure West Europe region to company A's account in AWS us-east-1 region, the data will be synchronized and available for consumption. To enable data replication, the accounts must be linked and replication must be enabled by a user with the ORGADMIN role. Then, a replication group must be created and the sales database must be added to the group. Finally, a direct share must be configured from company B's account to company A's account to grant access to the replicated data. This option is more efficient and secure than exporting and importing data using CSV files or migrating the entire Snowflake deployment to another region or cloud platform. It also does not require building a custom data pipeline using external tools.
                                      References:
                                      * Sharing data securely across regions and cloud platforms
                                      * Introduction to replication and failover
                                      * Replication considerations
                                      * Replicating account objects


                                      NEW QUESTION # 91
                                      At which object type level can the APPLY MASKING POLICY, APPLY ROW ACCESS POLICY and APPLY SESSION POLICY privileges be granted?

                                      Answer: C

                                      Explanation:
                                      The object type level at which the APPLY MASKING POLICY, APPLY ROW ACCESS POLICY and APPLY SESSION POLICY privileges can be granted is global. These are account-level privileges that control who can apply or unset these policies on objects such as columns, tables, views, accounts, or users. These privileges are granted to the ACCOUNTADMIN role by default, and can be granted to other roles as needed. The other options are incorrect because they are not the object type level at which these privileges can be granted. Database, schema, and table are lower-level object types that do not support these privileges. Reference: Access Control Privileges | Snowflake Documentation, Using Dynamic Data Masking | Snowflake Documentation, Using Row Access Policies | Snowflake Documentation, Using Session Policies | Snowflake Documentation


                                      NEW QUESTION # 92
                                      A Snowflake Architect is designing an application and tenancy strategy for an organization where strong legal isolation rules as well as multi-tenancy are requirements.
                                      Which approach will meet these requirements if Role-Based Access Policies (RBAC) is a viable option for isolating tenants?

                                      Answer: B

                                      Explanation:
                                      This approach meets the requirements of strong legal isolation and multi-tenancy. By creating separate accounts for each tenant, the application can ensure that each tenant has its own dedicated storage, compute, and metadata resources, as well as its own encryption keys and security policies. This provides the highest level of isolation and data protection among the tenancy models. Furthermore, by creating the accounts within the same Snowflake organization, the application can leverage the features of Snowflake Organizations, such as centralized billing, account management, and cross-account data sharing.
                                      References:
                                      * Snowflake Organizations Overview | Snowflake Documentation
                                      * Design Patterns for Building Multi-Tenant Applications on Snowflake


                                      NEW QUESTION # 93
                                      ......

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