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Snowflake SnowPro Advanced: Architect Recertification ARA-R01 Exam

Attempt the SnowPro Certification practice test and solve real exam-like ARA-R01 questions to prepare efficiently and increase your chances of success. Our Snowflake ARA-R01 practice questions match the actual SnowPro Advanced: Architect Recertification exam format, helping you enhance confidence and improve performance. With our ARA-R01 practice exam software, you can analyze your performance, identify weak areas, and work on them effectively to boost your final SnowPro Certification exam score.

Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Architect Recertification
Registration Code:	ARA-R01
Related Certification:	Snowflake SnowPro Certification
Exam Audience:

Total Questions

162

Last Updated

18-05-2026

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Question: 1

What are some of the characteristics of result set caches? (Choose three.)

ATime Travel queries can be executed against the result set cache.

BSnowflake persists the data results for 24 hours.

CEach time persisted results for a query are used, a 24-hour retention period is reset.

DThe data stored in the result cache will contribute to storage costs.

EThe retention period can be reset for a maximum of 31 days.

FThe result set cache is not shared between warehouses.

Answer: B, C, F

Explanation:

In Snowflake, the characteristics of result set caches include persistence of data results for 24 hours (B), each use of persisted results resets the 24-hour retention period (C), and result set caches are not shared between different warehouses (F). The result set cache is specifically designed to avoid repeated execution of the same query within this timeframe, reducing computational overhead and speeding up query responses. These caches do not contribute to storage costs, and their retention period cannot be extended beyond the default duration nor up to 31 days, as might be misconstrued. Reference: Snowflake Documentation on Result Set Caching.

Question: 2

A company needs to have the following features available in its Snowflake account:

1. Support for Multi-Factor Authentication (MFA)

2. A minimum of 2 months of Time Travel availability

3. Database replication in between different regions

4. Native support for JDBC and ODBC

5. Customer-managed encryption keys using Tri-Secret Secure

6. Support for Payment Card Industry Data Security Standards (PCI DSS)

In order to provide all the listed services, what is the MINIMUM Snowflake edition that should be selected during account creation?

AStandard

BEnterprise

CBusiness Critical

DVirtual Private Snowflake (VPS)

Answer: C

Explanation:

According to the Snowflake documentation1, the Business Critical edition offers the following features that are relevant to the question:

Support for Multi-Factor Authentication (MFA): This is a standard feature available in all Snowflake editions

Support for Multi-Factor Authentication (MFA): This is a standard feature available in all Snowflake editions1.

A minimum of 2 months of Time Travel availability: This is an enterprise feature that allows users to access historical data for up to 90 days1.

Database replication in between different regions: This is an enterprise feature that enables users to replicate databases across different regions or cloud platforms1.

Native support for JDBC and ODBC: This is a standard feature available in all Snowflake editions1.

Customer-managed encryption keys using Tri-Secret Secure: This is a business critical feature that provides enhanced security and data protection by allowing customers to manage their own encryption keys1.

Support for Payment Card Industry Data Security Standards (PCI DSS): This is a business critical feature that ensures compliance with PCI DSS regulations for handling sensitive cardholder data1.

Therefore, the minimum Snowflake edition that should be selected during account creation to provide all the listed services is the Business Critical edition.

Snowflake Editions | Snowflake Documentation

Question: 3

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?

AAsk the partner to create a share and add the company's account.

BAsk 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).

CKeep the current structure but request that the partner stop changing files, instead only appending new files.

DAsk the partner to set up a Snowflake reader account and use that account to get the data for ingestion.

Answer: A

Explanation:

The most efficient solution is to ask the partner to create a share and add the company's account (Option A). This way, the company can access the live data from the partner without any data movement or manual intervention. Snowflake's secure data sharing feature allows data providers to share selected objects in a database with other Snowflake accounts. The shared data is read-only and does not incur any storage or compute costs for the data consumers. The data consumers can query the shared data directly or create local copies of the shared objects in their own databases. Option B is not efficient because it involves using the data lake export feature, which is intended for exporting data from Snowflake to an external data lake, not for importing data from another Snowflake account. The data lake export feature also requires the data provider to create an external stage on cloud storage and use the COPY INTO <location> command to export the data into parquet files. The data consumer then needs to create an external table or a file format to load the data from the cloud storage into Snowflake. This process can be complex and costly, especially if the data changes frequently. Option C is not efficient because it does not solve the problem of manual data ingestion and adaptation. Keeping the current structure of daily JSON extracts on an FTP server and requesting the partner to stop changing files, instead only appending new files, does not improve the efficiency or reliability of the data ingestion process. The company still needs to upload the data to Snowflake manually and deal with any schema changes or data quality issues. Option D is not efficient because it requires the partner to set up a Snowflake reader account and use that account to get the data for ingestion. A reader account is a special type of account that can only consume data from the provider account that created it. It is intended for data consumers who are not Snowflake customers and do not have a licensing agreement with Snowflake. A reader account is not suitable for data ingestion from another Snowflake account, as it does not allow uploading, modifying, or unloading data. The company would need to use external tools or interfaces to access the data from the reader account and load it into their own account, which can be slow and expensive.Reference: The answer can be verified from Snowflake's official documentation on secure data sharing, data lake export, and reader accounts available on their website. Here are some relevant links:

Introduction to Secure Data Sharing | Snowflake Documentation

Data Lake Export Public Preview Is Now Available on Snowflake | Snowflake Blog

Managing Reader Accounts | Snowflake Documentation

Question: 4

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?

AUse SnowSQL.

BUse the Snowpipe REST API.

CUse the Snowflake SQL REST API.

DUse the Snowflake ODBC driver.

Answer: C

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

Question: 5

Which feature provides the capability to define an alternate cluster key for a table with an existing cluster key?

AExternal table

BMaterialized view

CSearch optimization

DResult cache

Answer: B

Explanation:

A materialized view is a feature that provides the capability to define an alternate cluster key for a table with an existing cluster key. A materialized view is a pre-computed result set that is stored in Snowflake and can be queried like a regular table. A materialized view can have a different cluster key than the base table, which can improve the performance and efficiency of queries on the materialized view. A materialized view can also support aggregations, joins, and filters on the base table data.A materialized view is automatically refreshed when the underlying data in the base table changes, as long as the AUTO_REFRESH parameter is set to true1.