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Snowflake ARA-R01 Exam

Exam Name: SnowPro Advanced: Architect Recertification
Exam Code: ARA-R01
Related Certification(s): Snowflake SnowPro Certification Certification
Certification Provider: Snowflake
Number of ARA-R01 practice questions in our database: 162 (updated: Jun. 12, 2024)
Expected ARA-R01 Exam Topics, as suggested by Snowflake :
  • Topic 1: Accounts and Security: This section relates to creating a Snowflake account and a database strategy aligned with business needs. Users are tested for developing an architecture that satisfies data security, privacy, compliance, and governance standards.
  • Topic 2: Snowflake Architecture: This section assesses examining the advantages and constraints of different data models, devises data-sharing strategies, and developing architectural solutions that accommodate Development Lifecycles and workload needs.
  • Topic 3: Data Engineering: This section is about identifying the optimal data loading or unloading method to fulfill business requirements. Examine the primary tools within Snowflake's ecosystem and their integration with the platform.
  • Topic 4: Performance Optimization: This section is about summarizing performance tools, recommended practices, and their ideal application scenarios, addressing performance challenges within current architectures, and resolving them.
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Free Snowflake ARA-R01 Exam Actual Questions

Note: Premium Questions for ARA-R01 were last updated On Jun. 12, 2024 (see below)

Question #1

A company is designing a process for importing a large amount of loT JSON data from cloud storage into Snowflake. New sets of loT data get generated and uploaded approximately every 5 minutes.

Once the loT data is in Snowflake, the company needs up-to-date information from an external vendor to join to the dat

a. This data is then presented to users through a dashboard that shows different levels of aggregation. The external vendor is a Snowflake customer.

What solution will MINIMIZE complexity and MAXIMIZE performance?

Reveal Solution Hide Solution
Correct Answer: D

Using Snowpipe for continuous, automated data ingestion minimizes the need for manual intervention and ensures that data is available in Snowflake promptly after it is generated. Leveraging Snowflake's data sharing capabilities allows for efficient and secure access to the vendor's data without the need for complex API integrations. Materialized views provide pre-aggregated data for fast access, which is ideal for dashboards that require high performance1234.

Reference =

* Snowflake Documentation on Snowpipe4

* Snowflake Documentation on Secure Data Sharing2

* Best Practices for Data Ingestion with Snowflake1


Question #2

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?

Reveal Solution Hide Solution
Correct Answer: D

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


Question #3

An Architect with the ORGADMIN role wants to change a Snowflake account from an Enterprise edition to a Business Critical edition.

How should this be accomplished?

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Correct Answer: D

To change the edition of a Snowflake account, an organization administrator (ORGADMIN) cannot directly alter the account settings through SQL commands or the Snowflake interface. The proper procedure is to contact Snowflake Support to request an edition change for the account. This ensures that the change is managed correctly and aligns with Snowflake's operational protocols.


Question #4

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?

Reveal Solution Hide Solution
Correct Answer: D

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


Question #5

A table, EMP_ TBL has three records as shown:

The following variables are set for the session:

Which SELECT statements will retrieve all three records? (Select TWO).

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Correct Answer: B, E

The correct answer is B and E because they use the correct syntax and values for the identifier function and the session variables.

The identifier function allows you to use a variable or expression as an identifier (such as a table name or column name) in a SQL statement. It takes a single argument and returns it as an identifier. For example, identifier($tbl_ref) returns EMP_TBL as an identifier.

The session variables are set using the SET command and can be referenced using the $ sign. For example, $var1 returns Name1 as a value.

Option A is incorrect because it uses Stbl_ref and Scol_ref, which are not valid session variables or identifiers. They should be $tbl_ref and $col_ref instead.

Option C is incorrect because it uses identifier<Stbl_ref>, which is not a valid syntax for the identifier function. It should be identifier($tbl_ref) instead.

Option D is incorrect because it uses Cvarl, var2, and var3, which are not valid session variables or values. They should be $var1, $var2, and $var3 instead.Reference:

Snowflake Documentation: Identifier Function

Snowflake Documentation: Session Variables

Snowflake Learning: SnowPro Advanced: Architect Exam Study Guide



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