Snowflake ARA-C01 Questions: Turn Your Exam Fear into Confidence [2026]

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To pass the Snowflake ARA-C01 Exam, candidates need to demonstrate proficiency in various domains, including Snowflake architecture, security, data integration, performance tuning, and optimization. ARA-C01 exam is designed to evaluate the candidate's ability to design, implement and manage complex Snowflake environments that meet the business requirements of organizations. SnowPro Advanced Architect Certification certification is beneficial for architects, data engineers, and data scientists who work with Snowflake Data Cloud.

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q110-Q115):

NEW QUESTION # 110
Is it possible for a data provider account with a Snowflake Business Critical edition to share data with an Enterprise edition data consumer account?

Answer: D

Explanation:
* Data sharing is a feature that allows Snowflake accounts to share data with each other without the need for data movement or copying1. Data sharing is enabled by creating shares, which are collections of database objects (tables, views, secure views, and secure UDFs) that can be accessed by other accounts, called consumers2.
* By default, Snowflake does not allow sharing data from a Business Critical edition account to a non-Business Critical edition account. This is because Business Critical edition offers higher levels of data protection and encryption than other editions, and sharing data with lower editions may compromise the security and compliance of the data3.
* However, Snowflake provides the OVERRIDE SHARE RESTRICTIONS global privilege, which allows a user to override the default restriction and share data from a Business Critical edition account to a non-Business Critical edition account. This privilege is granted to the ACCOUNTADMIN role by default, and can be granted to other roles as well4.
* To enable data sharing from a Business Critical edition account to an Enterprise edition account, the following steps are required34:
* A user in the provider account with the OVERRIDE SHARE RESTRICTIONS privilege must create or alter a share and add the Enterprise edition account as a consumer. The user must also set the share_restrictions parameter to False when adding the consumer. This parameter indicates whether the share is restricted to Business Critical edition accounts only. Setting it to False allows the share to be imported by lower edition accounts.
* A user in the consumer account with the IMPORT SHARE privilege must import the share and grant access to the share objects to other roles in the account. The user must also set the share_restrictions parameter to False when importing the share. This parameter indicates whether the consumer account accepts shares from Business Critical edition accounts only. Setting it to False allows the consumer account to import shares from lower edition accounts.
References:
* 1: Introduction to Secure Data Sharing | Snowflake Documentation
* 2: Creating Secure Data Shares | Snowflake Documentation
* 3: Enable Data Share:Business Critical Account to Lower Edition | Medium
* 4: Enabling sharing from a Business critical account to a non-business ... | Snowflake Documentation


NEW QUESTION # 111
The Business Intelligence team reports that when some team members run queries for their dashboards in parallel with others, the query response time is getting significantly slower What can a Snowflake Architect do to identify what is occurring and troubleshoot this issue?

Answer: A

Explanation:
The image shows a SQL query that can be used to identify which queries are spilled to remote storage and suggests changing the warehouse parameters to address this issue. Spilling to remote storage occurs when the memory allocated to a warehouse is insufficient to process a query, and Snowflake uses disk or cloud storage as a temporary cache. This can significantly slow down the query performance and increase the cost. To troubleshoot this issue, a Snowflake Architect can run the query shown in the image to find out which queries are spilling, how much data they are spilling, and which warehouses they are using. Then, the architect can adjust the warehouse size, type, or scaling policy to provide enough memory for the queries and avoid spilling12. References:
* Recognizing Disk Spilling
* Managing the Kafka Connector


NEW QUESTION # 112
Which command can be run to list all shares that have been created in your account or are available to consume by your account

Answer: B


NEW QUESTION # 113
You have a very large table which is already clustered on columns that are used to retrieve data from the table by a business group. The base table data does not change much. Another business group came to you and requested for a relatively small subset of data from the table which they will query using complex aggregation logic. You know that querying with those columns will take a lot of time because the table is not clustered on those columns.
What is the most optimal solution that you will suggest to the business team?

Answer: A


NEW QUESTION # 114
An Architect is designing a file ingestion recovery solution. The project will use an internal named stage for file storage. Currently, in the case of an ingestion failure, the Operations team must manually download the failed file and check for errors.
Which downloading method should the Architect recommend that requires the LEAST amount of operational overhead?

Answer: B

Explanation:
The get command in SnowSQL is a convenient way to download files from an internal stage to a local directory. The get command can be used in interactive mode or in a script, and it supports wildcards and parallel downloads. The get command also allows specifying the overwrite option, which determines how to handle existing files with the same name2 The Snowflake Connector for Python, the Snowflake API endpoint, and the get command in Snowsight are not recommended methods for downloading files from an internal stage, because they require more operational overhead than the get command in SnowSQL. The Snowflake Connector for Python and the Snowflake API endpoint require writing and maintaining code to handle the connection, authentication, and file transfer. The get command in Snowsight requires using the web interface and manually selecting the files to download34 References:
* 1: SnowPro Advanced: Architect | Study Guide
* 2: Snowflake Documentation | Using the GET Command
* 3: Snowflake Documentation | Using the Snowflake Connector for Python
* 4: Snowflake Documentation | Using the Snowflake API
* : Snowflake Documentation | Using the GET Command in Snowsight
* : SnowPro Advanced: Architect | Study Guide
* : Using the GET Command
* : Using the Snowflake Connector for Python
* : Using the Snowflake API
* : [Using the GET Command in Snowsight]


NEW QUESTION # 115
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