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Snowflake ARA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Snowflake Architecture30%- Storage and Compute Design
  • 1. Warehouse sizing and scaling
  • 2. Micro-partitions and clustering
  • 3. Database and schema design
- Platform Architecture Design
  • 1. Data sharing architecture
  • 2. Multi-account strategies
  • 3. Organization and account structure
  • 4. Cross-region and cross-cloud architecture
Accounts and Security25%- Access Control and Authentication
  • 1. SSO and MFA
  • 2. Data masking and row access policies
  • 3. Network policies
  • 4. Role-based access control
- Governance and Compliance
  • 1. Data governance strategies
  • 2. Encryption and security architecture
  • 3. Object ownership and privilege management
Data Engineering25%- Data Transformation
  • 1. ETL and ELT design
  • 2. Data modeling strategies
  • 3. Semi-structured data processing
- Data Loading and Pipelines
  • 1. Streams and CDC
  • 2. Snowpipe and tasks
  • 3. Bulk and continuous data loading
  • 4. External stages and file formats
Performance Optimization20%- Query Performance
  • 1. Caching strategies
  • 2. Search optimization service
  • 3. Materialized views
  • 4. Query profiling and tuning
- Cost and Resource Optimization
  • 1. Warehouse cost optimization
  • 2. Resource monitors
  • 3. Concurrency scaling

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q12-Q17):

NEW QUESTION # 12
A company is following the Data Mesh principles, including domain separation, and chose one Snowflake account for its data platform.
An Architect created two data domains to produce two data products. The Architect needs a third data domain that will use both of the data products to create an aggregate data product. The read access to the data products will be granted through a separate role.
Based on the Data Mesh principles, how should the third domain be configured to create the aggregate product if it has been granted the two read roles?

Answer: B

Explanation:
In the scenario described, where a third data domain needs access to two existing data products in a Snowflake account structured according to Data Mesh principles, the best approach is to utilize Snowflake's Data Exchange functionality. Option D is correct as it facilitates the sharing and governance of data across different domains efficiently and securely. Data Exchange allows domains to publish and subscribe to live data products, enabling real-time data collaboration and access management in a governed manner. This approach is in line with Data Mesh principles, which advocate for decentralized data ownership and architecture, enhancing agility and scalability across the organization.
Reference:
Snowflake Documentation on Data Exchange
Articles on Data Mesh Principles in Data Management


NEW QUESTION # 13
What is the best practice to follow when calling the SNOWPIPE REST API loadHistoryScan

Answer: B


NEW QUESTION # 14
An Architect wants to integrate Snowflake with a Git repository that requires authentication. What is the correct sequence of steps to be followed?

Answer:

Explanation:

Explanation:

This question tests Snowflake's native Git integration setup pattern, which relies on Snowflake security objects to authenticate outbound access to an external Git provider. The correct sequence begins with creating an API integration because it defines and authorizes the external endpoint(s) Snowflake is allowed to communicate with. In Snowflake, integrations are the governance layer for external connectivity- administrators explicitly allow network destinations and control whether the integration is enabled, which is foundational before any credential object can be used.
Next, the Architect creates a secret to securely store the authentication material required by the Git provider (for example, a token or other supported credential). Secrets are designed for securely managing sensitive values and are referenced by other Snowflake objects without exposing the credential in plain text in SQL or configuration.
Finally, the Architect creates the Snowflake Git repository stage, which is the object that actually references the Git repo location and uses the configured integration and secret to authenticate and interact with the repository. Creating the stage last ensures all required prerequisites (allowed connectivity + stored credentials) exist and can be bound to the stage cleanly, aligning with Snowflake's documented dependency model for external integrations.


NEW QUESTION # 15
An Architect is using SnowCD to investigate a connectivity issue.
Which system function will provide a list of endpoints that the network must be able to access to use a specific Snowflake account, leveraging private connectivity?

Answer: A

Explanation:
The SYSTEM$GET_PRIVATELINK function is used to retrieve the list of Snowflake service endpoints that need to be accessible when configuring private connectivity (such as AWS PrivateLink or Azure Private Link) for a Snowflake account. The function returns information necessary for setting up the networking infrastructure that allows secure and private access to Snowflake without using the public internet. SnowCD can then be used to verify connectivity to these endpoints.


NEW QUESTION # 16
There are two databases in an account, named fin_db and hr_db which contain payroll and employee data, respectively. Accountants and Analysts in the company require different permissions on the objects in these databases to perform their jobs. Accountants need read-write access to fin_db but only require read-only access to hr_db because the database is maintained by human resources personnel.
An Architect needs to create a read-only role for certain employees working in the human resources department.
Which permission sets must be granted to this role?

Answer: C

Explanation:
* To create a read-only role for certain employees working in the human resources department, the role needs to have the following permissions on the hr_db database:
* USAGE on the database: This allows the role to access the database and see its schemas and objects.
* USAGE on all schemas in the database: This allows the role to access the schemas and see their objects.
* SELECT on all tables in the database: This allows the role to query the data in the tables.
* Option A is the correct answer because it grants the minimum permissions required for a read-only role on the hr_db database.
* Option B is incorrect because SELECT on schemas is not a valid permission. Schemas only support USAGE and CREATE permissions.
* Option C is incorrect because MODIFY on the database is not a valid permission. Databases only support USAGE, CREATE, MONITOR, and OWNERSHIP permissions. Moreover, USAGE on tables is not sufficient for querying the data. Tables support SELECT, INSERT, UPDATE, DELETE, TRUNCATE, REFERENCES, and OWNERSHIP permissions.
* Option D is incorrect because REFERENCES on tables is not relevant for querying the data.
REFERENCES permission allows the role to create foreign key constraints on the tables.
References:
* : https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html#database-privileges
* : https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html#schema-privileges
* : https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html#table-privileges


NEW QUESTION # 17
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