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The SnowPro Advanced Architect Certification is recognized globally as a benchmark for Snowflake expertise. Candidates who Pass ARA-C01 Exam are considered as experts in Snowflake architecture and design principles. SnowPro Advanced Architect Certification certification provides a competitive edge to candidates in the job market and opens up new opportunities for career growth. SnowPro Advanced Architect Certification certification is also a requirement for Snowflake partners who need to demonstrate their expertise in Snowflake Data Cloud to become a Snowflake Partner.

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The SnowPro Advanced Architect Certification exam is an essential certification for professionals who specialize in designing and implementing complex Snowflake solutions. SnowPro Advanced Architect Certification certification provides a competitive edge to professionals by showcasing their skills and knowledge in the field of data management, warehousing, and analytics. Successful candidates will demonstrate their ability to design and implement Snowflake solutions that meet the complex data management needs of organizations.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q116-Q121):

NEW QUESTION # 116
An Architect is integrating an application that needs to read and write data to Snowflake without installing any additional software on the application server.
How can this requirement be met?

A. Use the Snowpipe REST API.
B. Use SnowSQL.
C. Use the Snowflake ODBC driver.
D. Use the Snowflake SQL REST API.

Answer: D

Explanation:
The Snowflake SQL REST API is a REST API that you can use to access and update data in a Snowflake database. You can use this API to execute standard queries and most DDL and DML statements. This API can be used to develop custom applications and integrations that can read and write data to Snowflake without installing any additional software on the application server. Option A is not correct because SnowSQL is a command-line client that requires installation and configuration on the application server. Option B is not correct because the Snowpipe REST API is used to load data from cloud storage into Snowflake tables, not to read or write data to Snowflake. Option D is not correct because the Snowflake ODBC driver is a software component that enables applications to connect to Snowflake using the ODBC protocol, which also requires installation and configuration on the application server. Reference: The answer can be verified from Snowflake's official documentation on the Snowflake SQL REST API available on their website. Here are some relevant links:
Snowflake SQL REST API | Snowflake Documentation
Introduction to the SQL API | Snowflake Documentation
Submitting a Request to Execute SQL Statements | Snowflake Documentation

NEW QUESTION # 117
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?

A. Create two databases in one account and use replication.
B. Create two accounts with federated authentication and use cloning.
C. Create two accounts with network policies and use data sharing.
D. Create two databases in one account and use user-level network policies and shares.

Answer: C

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 # 118
A Snowflake Architect is designing a multi-tenant application strategy for an organization in the Snowflake Data Cloud and is considering using an Account Per Tenant strategy.
Which requirements will be addressed with this approach? (Choose two.)

A. Tenant data shape may be unique per tenant.
B. There needs to be fewer objects per tenant.
C. Storage costs must be optimized.
D. Security and Role-Based Access Control (RBAC) policies must be simple to configure.
E. Compute costs must be optimized.

Answer: C,E

NEW QUESTION # 119
An Architect is evaluating compute and storage costs related to performance optimization techniques.
Which Snowflake performance optimizations have storage costs associated with them? (Select THREE).

A. Materialized views
B. Multi-cluster virtual warehouse
C. Query Acceleration Service
D. Search Optimization Service
E. Rekeying
F. Clustering a table

Answer: A,D,F

Explanation:
Some Snowflake performance features require additional storage to maintain auxiliary data structures.
Materialized views store precomputed query results and therefore consume storage (Answer B). Clustering a table can increase storage usage due to additional micro-partitions created during reclustering operations (Answer C).
Search Optimization Service builds and maintains search access paths that persist as additional metadata structures, incurring storage costs (Answer E). In contrast, Query Acceleration Service and multi-cluster warehouses affect compute usage only. Rekeying is a security operation and does not create separate storage structures.
This question tests SnowPro Architect understanding of cost tradeoffs between compute and storage when selecting optimization techniques.

NEW QUESTION # 120
A company's Architect needs to find an efficient way to get data from an external partner, who is also a Snowflake user. The current solution is based on daily JSON extracts that are placed on an FTP server and uploaded to Snowflake manually. The files are changed several times each month, and the ingestion process needs to be adapted to accommodate these changes.
What would be the MOST efficient solution?

A. Keep the current structure but request that the partner stop changing files, instead only appending new files.
B. Ask the partner to use the data lake export feature and place the data into cloud storage where Snowflake can natively ingest it (schema-on-read).
C. Ask the partner to create a share and add the company's account.
D. Ask the partner to set up a Snowflake reader account and use that account to get the data for ingestion.

Answer: D

NEW QUESTION # 121
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