Pass Guaranteed 2026 ARA-C01: Certification SnowPro Advanced Architect Certification Dumps

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Snowflake ARA-C01 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: 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 3: Data Sharing and Collaboration- Secure data sharing
                  • 1. Data marketplace concepts
                    • 2. Cross-account data sharing
                      Topic 4: Security, Governance, and Compliance- Data governance
                      • 1. Audit and compliance features
                        • 2. Data classification and masking policies
                          - Access control and security model
                          • 1. Role-based access control (RBAC)
                            • 2. Network security and authentication
                              Topic 5: Data Pipelines and Data Engineering- Data ingestion and transformation
                              • 1. Batch and streaming ingestion
                                • 2. Snowpipe and continuous data loading
                                  - Data orchestration
                                  • 1. Tasks and Streams usage
                                    • 2. Pipeline design patterns

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                                      Top Certification ARA-C01 Dumps Free PDF | High Pass-Rate Related ARA-C01 Certifications: SnowPro Advanced Architect Certification

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                                      Snowflake SnowPro Advanced Architect Certification Sample Questions (Q125-Q130):

                                      NEW QUESTION # 125
                                      You have a medium warehouse with auto suspend of 5 minutes. You ran a query on table#1. After 10 minutes, you ran a query that joins table#1 and table#2, but you see that the query did not use data
                                      cache.
                                      Why?

                                      Answer: B


                                      NEW QUESTION # 126
                                      Refreshing a secondary database is not allowed in the following circumstances

                                      Answer: B,D


                                      NEW QUESTION # 127
                                      A call center processes sensitive PII and PHI data. Requirements:
                                      * Object owners and privileged roles must see sensitive columns.
                                      * Pre-tokenized data must be de-tokenized at query time.What should be used? (Select TWO).

                                      Answer: A,D

                                      Explanation:
                                      Dynamic Data Masking is a Snowflake security feature that conditionally masks or reveals column values at query time based on the executing role (Answer D). This allows privileged users (such as object owners or compliance roles) to see clear-text PII/PHI, while other users see masked or tokenized values. Because masking is evaluated at query time, it supports de-tokenization logic when the role is authorized.
                                      Role-Based Access Control (RBAC) underpins this behavior by defining which roles are privileged and allowed to view unmasked data (Answer E). Masking policies are evaluated in the context of the active role, making RBAC essential for enforcing correct access.
                                      Object tagging alone does not enforce access control. Materialized views duplicate data and do not support dynamic de-tokenization logic. External tokenization is not required when Snowflake masking policies can handle conditional reveal. This question tests SnowPro Architect knowledge of advanced column-level security and privacy controls.
                                      =========


                                      NEW QUESTION # 128
                                      Following objects can be cloned in snowflake

                                      Answer: A,B,C

                                      Explanation:
                                      Snowflake supports cloning of various objects, such as databases, schemas, tables, stages, file formats, sequences, streams, tasks, and roles. Cloning creates a copy of an existing object in the system without copying the data or metadata. Cloning is also known as zero-copy cloning1.
                                      Among the objects listed in the question, the following ones can be cloned in Snowflake:
                                      Permanent table: A permanent table is a type of table that has a Fail-safe period and a Time Travel retention period of up to 90 days. A permanent table can be cloned using the CREATE TABLE ... CLONE command2. Therefore, option A is correct.
                                      Transient table: A transient table is a type of table that does not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. A transient table can also be cloned using the CREATE TABLE ... CLONE command2. Therefore, option B is correct.
                                      External table: An external table is a type of table that references data files stored in an external location, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. An external table can be cloned using the CREATE EXTERNAL TABLE ... CLONE command3. Therefore, option D is correct.
                                      The following objects listed in the question cannot be cloned in Snowflake:
                                      Temporary table: A temporary table is a type of table that is automatically dropped when the session ends or the current user logs out. Temporary tables do not support cloning4. Therefore, option C is incorrect.
                                      Internal stage: An internal stage is a type of stage that is managed by Snowflake and stores files in Snowflake's internal cloud storage. Internal stages do not support cloning5. Therefore, option E is incorrect.


                                      NEW QUESTION # 129
                                      A stream stores data with the same columns as the source data but with additional columns.
                                      What are those additional columns?

                                      Answer: B,C,D


                                      NEW QUESTION # 130
                                      ......

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