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ARA-C01 Exam Dumps - Snowflake SnowPro Advanced: Architect Questions and Answers

Question # 4

How can an Architect enable optimal clustering to enhance performance for different access paths on a given table?

Options:

A.

Create multiple clustering keys for a table.

B.

Create multiple materialized views with different cluster keys.

C.

Create super projections that will automatically create clustering.

D.

Create a clustering key that contains all columns used in the access paths.

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Question # 5

How can the Snowpipe REST API be used to keep a log of data load history?

Options:

A.

Call insertReport every 20 minutes, fetching the last 10,000 entries.

B.

Call loadHistoryScan every minute for the maximum time range.

C.

Call insertReport every 8 minutes for a 10-minute time range.

D.

Call loadHistoryScan every 10 minutes for a 15-minute time range.

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Question # 6

A media company needs a data pipeline that will ingest customer review data into a Snowflake table, and apply some transformations. The company also needs to use Amazon Comprehend to do sentiment analysis and make the de-identified final data set available publicly for advertising companies who use different cloud providers in different regions.

The data pipeline needs to run continuously ang efficiently as new records arrive in the object storage leveraging event notifications. Also, the operational complexity, maintenance of the infrastructure, including platform upgrades and security, and the development effort should be minimal.

Which design will meet these requirements?

Options:

A.

Ingest the data using COPY INTO and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

B.

Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Create an external function to do model inference with Amazon Comprehend and write the final records to a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

C.

Ingest the data into Snowflake using Amazon EMR and PySpark using the Snowflake Spark connector. Apply transformations using another Spark job. Develop a python program to do model inference by leveraging the Amazon Comprehend text analysis API. Then write the results to a Snowflake table and create a listing in the Snowflake Marketplace to make the data available to other companies.

D.

Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

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Question # 7

A healthcare company wants to share data with a medical institute. The institute is running a Standard edition of Snowflake; the healthcare company is running a Business Critical edition.

How can this data be shared?

Options:

A.

The healthcare company will need to change the institute’s Snowflake edition in the accounts panel.

B.

By default, sharing is supported from a Business Critical Snowflake edition to a Standard edition.

C.

Contact Snowflake and they will execute the share request for the healthcare company.

D.

Set the share_restriction parameter on the shared object to false.

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Question # 8

An Architect would like to save quarter-end financial results for the previous six years.

Which Snowflake feature can the Architect use to accomplish this?

Options:

A.

Search optimization service

B.

Materialized view

C.

Time Travel

D.

Zero-copy cloning

E.

Secure views

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Question # 9

An Architect is designing a solution that will be used to process changed records in an orders table. Newly-inserted orders must be loaded into the f_orders fact table, which will aggregate all the orders by multiple dimensions (time, region, channel, etc.). Existing orders can be updated by the sales department within 30 days after the order creation. In case of an order update, the solution must perform two actions:

1. Update the order in the f_0RDERS fact table.

2. Load the changed order data into the special table ORDER _REPAIRS.

This table is used by the Accounting department once a month. If the order has been changed, the Accounting team needs to know the latest details and perform the necessary actions based on the data in the order_repairs table.

What data processing logic design will be the MOST performant?

Options:

A.

Useone stream and one task.

B.

Useone stream and two tasks.

C.

Usetwo streams and one task.

D.

Usetwo streams and two tasks.

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Question # 10

An Architect is troubleshooting a query with poor performance using the QUERY function. The Architect observes that the COMPILATION_TIME Is greater than the EXECUTION_TIME.

What is the reason for this?

Options:

A.

The query is processing a very large dataset.

B.

The query has overly complex logic.

C.

The query Is queued for execution.

D.

The query Is reading from remote storage

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Question # 11

A company has a source system that provides JSON records for various loT operations. The JSON Is loading directly into a persistent table with a variant field. The data Is quickly growing to 100s of millions of records and performance to becoming an issue. There is a generic access pattern that Is used to filter on the create_date key within the variant field.

What can be done to improve performance?

Options:

A.

Alter the target table to Include additional fields pulled from the JSON records. This would Include a create_date field with a datatype of time stamp. When this field Is used in the filter, partition pruning will occur.

B.

Alter the target table to include additional fields pulled from the JSON records. This would include a create_date field with a datatype of varchar. When this field is used in the filter, partition pruning will occur.

C.

Validate the size of the warehouse being used. If the record count is approaching 100s of millions, size XL will be the minimum size required to process this amount of data.

D.

Incorporate the use of multiple tables partitioned by date ranges. When a user or process needs to query a particular date range, ensure the appropriate base table Is used.

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Question # 12

What actions are permitted when using the Snowflake SQL REST API? (Select TWO).

Options:

A.

The use of a GET command

B.

The use of a PUT command

C.

The use of a ROLLBACK command

D.

The use of a CALL command to a stored procedure which returns a table

E.

Submitting multiple SQL statements in a single call

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Question # 13

A retail company has 2000+ stores spread across the country. Store Managers report that they are having trouble running key reports related to inventory management, sales targets, payroll, and staffing during business hours. The Managers report that performance is poor and time-outs occur frequently.

Currently all reports share the same Snowflake virtual warehouse.

How should this situation be addressed? (Select TWO).

Options:

A.

Use a Business Intelligence tool for in-memory computation to improve performance.

B.

Configure a dedicated virtual warehouse for the Store Manager team.

C.

Configure the virtual warehouse to be multi-clustered.

D.

Configure the virtual warehouse to size 4-XL

E.

Advise the Store Manager team to defer report execution to off-business hours.

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Exam Code: ARA-C01
Exam Name: SnowPro Advanced: Architect Certification Exam
Last Update: May 28, 2025
Questions: 162
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