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Free PDF 2025 Unparalleled ARA-C01: Exam SnowPro Advanced Architect Certification Tutorial

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q11-Q16):

NEW QUESTION # 11
A company is designing its serving layer for data that is in cloud storage. Multiple terabytes of the data will be used for reporting. Some data does not have a clear use case but could be useful for experimental analysis. This experimentation data changes frequently and is sometimes wiped out and replaced completely in a few days.
The company wants to centralize access control, provide a single point of connection for the end-users, and maintain data governance.
What solution meets these requirements while MINIMIZING costs, administrative effort, and development overhead?

A. Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.
B. Import the data used for reporting into a Snowflake schema with native tables. Then create views that have SELECT commands pointing to the cloud storage files for the experimentation data. Then create two different roles to match the different user personas, and grant these roles to the corresponding users.
C. Import all the data in cloud storage to be used for reporting into a Snowflake schema with native tables. Then create a role that has access to this schema and manage access to the data through that role.
D. Import the data used for reporting into a Snowflake schema with native tables. Then create external tables pointing to the cloud storage folders used for the experimentation data. Then create two different roles with grants to the different datasets to match the different user personas, and grant these roles to the corresponding users.

Answer: D

Explanation:
The most cost-effective and administratively efficient solution is to use a combination of native and external tables. Native tables for reporting data ensure performance and governance, while external tables allow for flexibility with frequently changing experimental data. Creating roles with specific grants to datasets aligns with the principle of least privilege, centralizing access control and simplifying user management12.
Reference
* Snowflake Documentation on Optimizing Cost1.
* Snowflake Documentation on Controlling Cost2.

NEW QUESTION # 12
Which query will identify the specific days and virtual warehouses that would benefit from a multi-cluster warehouse to improve the performance of a particular workload?

Answer: C

NEW QUESTION # 13
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 # 14
You have created a table as below
CREATE TABLE TEST_01 (NAME STRING(10));
What data type SNOWFLAKE will assign to column NAME?

A. STRING
B. VARCHAR
C. LONGCHAR

Answer: B

NEW QUESTION # 15
A retailer's enterprise data organization is exploring the use of Data Vault 2.0 to model its data lake solution.
A Snowflake Architect has been asked to provide recommendations for using Data Vault 2.0 on Snowflake.
What should the Architect tell the data organization? (Select TWO).

A. Change data capture can be performed using the Data Vault 2.0 HASH_DELTA concept.
B. Using the multi-table insert feature, multiple Point-in-Time (PIT) tables can be loaded sequentially from a single join query from the data vault.
C. There are performance challenges when using Snowflake to load multiple Point-in-Time (PIT) tables in parallel from a single join query from the data vault.
D. Change data capture can be performed using the Data Vault 2.0 HASH_DIFF concept.
E. Using the multi-table insert feature in Snowflake, multiple Point-in-Time (PIT) tables can be loaded in parallel from a single join query from the data vault.

Answer: D,E

Explanation:
Data Vault 2.0 on Snowflake supports the HASH_DIFF concept for change data capture, which is a method to detect changes in the data by comparing the hash values of the records. Additionally, Snowflake's multi-table insert feature allows for the loading of multiple PIT tables in parallel from a single join query, which can significantly streamline the data loading process and improve performance1.
References =
*Snowflake's documentation on multi-table inserts1
*Blog post on optimizing Data Vault architecture on Snowflake2

NEW QUESTION # 16
......

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