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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Objectives
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. Storage and compute efficiency 2. Resource monitoring and cost control - Query performance tuning 1. Query profiling and optimization techniques 2. Warehouse sizing and scaling
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. Semi-structured data modeling 2. Star and snowflake schema concepts
Data Sharing and Collaboration	- Secure data sharing 1. Cross-account data sharing 2. Data marketplace concepts
Data Pipelines and Data Engineering	- Data orchestration 1. Pipeline design patterns 2. Tasks and Streams usage - Data ingestion and transformation 1. Batch and streaming ingestion 2. Snowpipe and continuous data loading

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q133-Q138):

NEW QUESTION # 133
Assigning ACCOUNTADMIN as the default role for the account administrators is a best practice

A. FALSE
B. TRUE

Answer: A

NEW QUESTION # 134
Which requirements indicate that a multi-account Snowflake strategy should be used? (Select TWO).

A. A requirement to use different Snowflake editions.
B. A requirement to use Snowflake in a single cloud or region.
C. A requirement to use RBAC to govern DevOps processes across environments.
D. A requirement for easy object promotion using zero-copy cloning.
E. A requirement to minimize complexity of changing database names across environments.

Answer: A,D

Explanation:
A multi-account Snowflake strategy is appropriate when environments have fundamentally different requirements. Using different Snowflake editions (for example, Business Critical for production and Enterprise for non-production) requires separate accounts because edition is an account-level property (Answer A).
Zero-copy cloning is frequently used for fast environment refresh and object promotion, but cloning only works within a single account. To promote data between environments cleanly, many organizations use separate accounts combined with replication or sharing strategies, making multi-account design relevant when environment isolation and promotion workflows are required (Answer B).
Single-region usage, minimizing database name changes, and RBAC governance can all be handled within a single account. This question reinforces SnowPro Architect principles around environment isolation, governance, and account-level design decisions.

NEW QUESTION # 135
Role A has the following permissions:
. USAGE on db1
. USAGE and CREATE VIEW on schemal in db1
. SELECT on tablel in schemal
Role B has the following permissions:
. USAGE on db2
. USAGE and CREATE VIEW on schema2 in db2
. SELECT on table2 in schema2
A user has Role A set as the primary role and Role B as a secondary role.
What command will fail for this user?

A. use database db2;use schema schema2;create view v2 as select * from dbl.schemal. tablel;
B. use database db1;use schema schemal;create view v1 as select * from db2.schema2.table2;
C. use database db1;use schema schemal;select * from db2.schema2.table2;
D. use database db2;use schema schema2;select * from db1.schemal.tablel union select * from table2;

Answer: A

Explanation:
This command will fail because while the user has USAGE permission ondb2andschema2through Role B, and can create a view inschema2, they do not have SELECT permission ondb1.schemal.table1with Role B.
Since Role A, which has SELECT permission ondb1.schemal.table1, is not the currently active role when the viewv2is being created indb2.schema2, the user does not have the necessary permissions to read fromdb1.
schemal.table1to create the view. Snowflake's security model requires that the active role have all necessary permissions to execute the command.

NEW QUESTION # 136
A Developer is having a performance issue with a Snowflake query. The query receives up to 10 different values for one parameter and then performs an aggregation over the majority of a fact table. It then joins against a smaller dimension table. This parameter value is selected by the different query users when they execute it during business hours. Both the fact and dimension tables are loaded with new data in an overnight import process.
On a Small or Medium-sized virtual warehouse, the query performs slowly. Performance is acceptable on a size Large or bigger warehouse. However, there is no budget to increase costs. The Developer needs a recommendation that does not increase compute costs to run this query.
What should the Architect recommend?

A. Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The query results will then be cached and ready to respond quickly when the users re-issue the query.
B. Create a task that will run the 10 different variations of the query corresponding to the 10 different parameters before the users come in to work. The task will be scheduled to align with the users' working hours in order to allow the warehouse cache to be used.
C. Enable the search optimization service on the table. When the users execute the query, the search optimization service will automatically adjust the query execution plan based on the frequently-used parameters.
D. Create a dedicated size Large warehouse for this particular set of queries. Create a new role that has USAGE permission on this warehouse and has the appropriate read permissions over the fact and dimension tables. Have users switch to this role and use this warehouse when they want to access this data.

Answer: C

Explanation:
Enabling the search optimization service on the table can improve the performance of queries that have selective filtering criteria, which seems to be the case here. This service optimizes the execution of queries by creating a persistent data structure called a search access path, which allows some micro-partitions to be skipped during the scanning process. This can significantly speed up query performance without increasing compute costs1.
Reference
* Snowflake Documentation on Search Optimization Service1.

NEW QUESTION # 137
What is the recommended strategy to choose the right sized warehouse to achieve best performance based on query processing?

A. Run heterogenous queries on the same warehouse
B. Run homogenous queries on the same warehouse

Answer: B

NEW QUESTION # 138
......

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