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Snowflake ARA-C01 is an advanced certification exam designed for those who want to demonstrate their expertise in Snowflake architecture, design, and implementation. SnowPro Advanced Architect Certification certification is targeted at experienced architects, engineers, and consultants who have a deep understanding of Snowflake's technology and can provide solutions to complex business problems. Passing the ARA-C01 Exam demonstrates that an individual has the necessary skills and knowledge to design and implement advanced Snowflake solutions.

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a cloud-based certification exam that is designed to validate the advanced skills and knowledge of Snowflake architects. SnowPro Advanced Architect Certification certification exam is intended for those professionals who possess a deep understanding of Snowflake data warehouses and their architecture, and who can design and implement complex Snowflake solutions using best practices. The SnowPro Advanced Architect Certification Exam is a vendor-neutral certification, which means that it is not affiliated with any particular vendor or technology.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q22-Q27):

NEW QUESTION # 22
When would you usually consider to add clustering key to a table

A. The table has more than 20 columns
B. it is a multi-terabyte size table
C. The number of users querying the table has increased
D. The performance of the query has deteriorated over a period of time.

Answer: B,D

NEW QUESTION # 23
A large manufacturing company runs a dozen individual Snowflake accounts across its business divisions. The company wants to increase the level of data sharing to support supply chain optimizations and increase its purchasing leverage with multiple vendors.
The company's Snowflake Architects need to design a solution that would allow the business divisions to decide what to share, while minimizing the level of effort spent on configuration and management. Most of the company divisions use Snowflake accounts in the same cloud deployments with a few exceptions for European-based divisions.
According to Snowflake recommended best practice, how should these requirements be met?

A. Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.
B. Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.
C. Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.
D. Deploy a Private Data Exchange in combination with data shares for the European accounts.

Answer: D

Explanation:
Explanation
According to Snowflake recommended best practice, the requirements of the large manufacturing company should be met by deploying a Private Data Exchange in combination with data shares for the European accounts. A Private Data Exchange is a feature of the Snowflake Data Cloud platform that enables secure and governed sharing of data between organizations. It allows Snowflake customers to create their own data hub and invite other parts of their organization or external partners to access and contribute data sets. A Private Data Exchange provides centralized management, granular access control, and data usage metrics for the data shared in the exchange1. A data share is a secure and direct way of sharing data between Snowflake accounts without having to copy or move the data. A data share allows the data provider to grant privileges on selected objects in their account to one or more data consumers in other accounts2. By using a Private Data Exchange in combination with data shares, the company can achieve the following benefits:
* The business divisions can decide what data to share and publish it to the Private Data Exchange, where it can be discovered and accessed by other members of the exchange. This reduces the effort and complexity of managing multiple data sharing relationships and configurations.
* The company can leverage the existing Snowflake accounts in the same cloud deployments to create the Private Data Exchange and invite the members to join. This minimizes the migration and setup costs and leverages the existing Snowflake features and security.
* The company can use data shares to share data with the European accounts that are in different regions or cloud platforms. This allows the company to comply with the regional and regulatory requirements for data sovereignty and privacy, while still enabling data collaboration across the organization.
* The company can use the Snowflake Data Cloud platform to perform data analysis and transformation on the shared data, as well as integrate with other data sources and applications. This enables the company to optimize its supply chain and increase its purchasing leverage with multiple vendors.
The other options are incorrect because they do not meet the requirements or follow the best practices. Option A is incorrect because migrating the European accounts to the global region may violate the data sovereignty and privacy regulations, and deploying a Data Exchange may not provide the level of control and management that the company needs. Option C is incorrect because deploying to the Snowflake Marketplace may expose the company's data to unwanted consumers, and using invoker_share() in secure views may not provide the desired level of security and governance. Option D is incorrect because using replication to allow European data shares in the Exchange may incur additional costs and complexity, and may not be necessary if data shares can be used instead. References: Private Data Exchange | Snowflake Documentation, Introduction to Secure Data Sharing | Snowflake Documentation

NEW QUESTION # 24
JSON and PARQUET files can be loaded to columns in the same table

A. TRUE
B. FALSE

Answer: B

NEW QUESTION # 25
Which of the below commands will use warehouse credits?

A. SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID;
B. SELECT MAX(FLAKE_ID) FROM SNOWFLAKE;
C. SELECT COUNT(*) FROM SNOWFLAKE;
D. SHOW TABLES LIKE 'SNOWFL%';

Answer: A,B,C

Explanation:
Warehouse credits are used to pay for the processing time used by each virtual warehouse in Snowflake. A virtual warehouse is a cluster of compute resources that enables executing queries, loading data, and performing other DML operations. Warehouse credits are charged based on the number of virtual warehouses you use, how long they run, and their size1.
Among the commands listed in the question, the following ones will use warehouse credits:
SELECT MAX(FLAKE_ID) FROM SNOWFLAKE: This command will use warehouse credits because it is a query that requires a virtual warehouse to execute. The query will scan the SNOWFLAKE table and return the maximum value of the FLAKE_ID column2. Therefore, option B is correct.
SELECT COUNT(*) FROM SNOWFLAKE: This command will also use warehouse credits because it is a query that requires a virtual warehouse to execute. The query will scan the SNOWFLAKE table and return the number of rows in the table3. Therefore, option C is correct.
SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID: This command will also use warehouse credits because it is a query that requires a virtual warehouse to execute. The query will scan the SNOWFLAKE table and return the number of rows for each distinct value of the FLAKE_ID column4. Therefore, option D is correct.
The command that will not use warehouse credits is:
SHOW TABLES LIKE 'SNOWFL%': This command will not use warehouse credits because it is a metadata operation that does not require a virtual warehouse to execute. The command will return the names of the tables that match the pattern 'SNOWFL%' in the current database and schema5. Therefore, option A is incorrect.

NEW QUESTION # 26
You have written a procedure and a function in snowflake.
How do you find your procedures and functions in snowflake?

A. SHOW FUNCTIONS;
B. SHOW ALL PROCEDURES AND FUNCTIONS
C. SHOW PROCEDURES;
D. SHOW PROCEDURES, FUNCTIONS

Answer: A

NEW QUESTION # 27
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Latest ARA-C01 Exam Objectives & Free ARA-C01 Study Material

Pass Guaranteed 2025 Fantastic Snowflake ARA-C01: Latest SnowPro Advanced Architect Certification Exam Objectives

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q22-Q27):