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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Accounts and Security | 25% | - Security principles and implementation scenarios - Account and database strategy design - Security, compliance and governance architecture |
| Topic 2: Performance Optimization | 20% | - Cost optimization and resource management - Query performance tuning - Virtual warehouse configuration and sizing - Clustering and partitioning strategies |
| Topic 3: Data Engineering | 25% | - Data pipeline and integration design - Transformation and processing frameworks - Data loading and unloading solutions |
| Topic 4: Snowflake Architecture | 30% | - Object hierarchy and architectural impact - Data protection and recovery strategies - Development lifecycle and workload support - Data modeling and use cases - Data sharing architecture design |
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NEW QUESTION # 19
Who can view account-level Credit and Storage Usage?
Answer: A,B
NEW QUESTION # 20
An Architect wants to build an automated ETL pipeline that reads data from an external stage using an external table, performs transformations on changed data, joins with dimension tables, and loads results into a target table.
What should the Architect use?
Answer: B
Explanation:
Streams and tasks provide Snowflake's native framework for building automated, incremental ETL pipelines.
A stream can track changes in the external table (or staging table), while tasks orchestrate the execution of transformation logic and loading into target tables (Answer A).
This approach supports complex transformations, joins with dimension tables, and controlled scheduling or event-driven execution. Materialized views cannot perform joins with arbitrary tables and are not suitable for complex ETL. Dynamic tables simplify transformations but are not designed to consume change data directly from external tables. Snowpipe focuses on ingestion only and does not support downstream transformations.
SnowPro Architect exams frequently test understanding of when to use streams and tasks versus newer abstractions like dynamic tables.
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NEW QUESTION # 21
An Architect runs the following SQL query:
How can this query be interpreted?
Answer: D
Explanation:
* A stage is a named location in Snowflake that can store files for data loading and unloading. A stage can be internal or external, depending on where the files are stored.
* The query in the question uses the LIST function to list the files in a stage named FILEROWS. The
* function returns a table with various columns, including FILE_ROW_NUMBER, which is the line number of the file in the stage.
* Therefore, the query can be interpreted as listing the files in a stage named FILEROWS and showing the line number of each file in the stage.
References:
* : Stages
* : LIST Function
NEW QUESTION # 22
A financial services company needs to isolate sensitive production data from development data within the same region and support secure data transfer between environments.
What is the best solution?
Answer: B
Explanation:
Strong isolation of sensitive production data from development environments is best achieved using separate Snowflake accounts. Account-level isolation ensures independent security boundaries, network policies, and governance controls. Secure Data Sharing allows controlled, read-only access to production data without copying it, supporting safe data transfer between environments (Answer A).
Using cloning across accounts is not supported; cloning works only within the same account. Database-level separation does not provide the same security guarantees as account-level isolation, and user-level network policies are not supported in Snowflake.
This design aligns with SnowPro Architect best practices for regulated industries, emphasizing strong isolation, least privilege, and secure data access mechanisms.
NEW QUESTION # 23
User1 and User2 are new users that were granted different functional roles.
User1 was granted the IT_ANALYST_ROLE
User2 was granted the FIN_ANALYST_ROLE
Review the following security design (as shown in the diagram):
A database (DB) grants USAGE and SELECT on all tables to DB_IT_RO_ROLE
DB_IT_RO_ROLE is granted to IT_ANALYST_ROLE
IT_SCHEMA contains TABLE1
FINANCE_SCHEMA grants USAGE and SELECT to DB_FIN_ROLE
DB_FIN_ROLE is granted to FIN_ANALYST_ROLE
FINANCE_SCHEMA contains FIN_TABLE
Which tables can each user read?
Answer: C
Explanation:
This question tests understanding of Snowflake Role-Based Access Control (RBAC) and privilege inheritance, which is a core SnowPro Architect exam topic. In Snowflake, privileges are not granted directly to users; instead, they are granted to roles, which are then assigned to users. Effective access depends on the combination of USAGE and SELECT privileges across databases, schemas, and tables.
In the provided design, the role DB_IT_RO_ROLE has SELECT privileges on all tables in the database, along with database usage. This role is granted to IT_ANALYST_ROLE, which is assigned to User1. As a result, User1 can read tables from both IT_SCHEMA and FINANCE_SCHEMA, assuming schema usage is satisfied, which is implied in the diagram.
User2, on the other hand, is granted the FIN_ANALYST_ROLE, which inherits privileges from DB_FIN_ROLE. That role only has USAGE and SELECT privileges on the FINANCE_SCHEMA. There are no grants that allow DB_FIN_ROLE (or FIN_ANALYST_ROLE) to access objects in IT_SCHEMA.
NEW QUESTION # 24
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