support@Free-Braindumps.com
Register Login
Cisco
CompTIA
ISC
EC-Council
EXIN
Fortinet
ITIL
Juniper
Microsoft
VMware
Avaya
SAP
Google
NVIDIA
Salesforce
Amazon
Palo Alto Networks
ISC2
CrowdStrike
Anthropic
All Vendors
  1. Home
  2. Exams
  3. Snowflake
  4. SnowPro Advanced Architect

Free SnowPro Advanced Architect Exam Braindumps
SnowPro Advanced Architect Questions 21–25 (page: 6)

Updated On: 10-Feb-2026
Page 6 of 23
PDF with 254 Questions

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?

  1. The healthcare company will need to change the institute's Snowflake edition in the accounts panel.
  2. By default, sharing is supported from a Business Critical Snowflake edition to a Standard edition.
  3. Contact Snowflake and they will execute the share request for the healthcare company.
  4. Set the share_restriction parameter on the shared object to false.

Answer(s): C



An Architect is designing a pipeline to stream event data into Snowflake using the Snowflake Kafka connector. The Architect's highest priority is to configure the connector to stream data in the MOST cost-effective manner.

Which of the following is recommended for optimizing the cost associated with the Snowflake Kafka connector?

  1. Utilize a higher Buffer.flush.time in the connector configuration.
  2. Utilize a higher Buffer.size.bytes in the connector configuration.
  3. Utilize a lower Buffer.size.bytes in the connector configuration.
  4. Utilize a lower Buffer.count.records in the connector configuration.

Answer(s): D



An Architect has chosen to separate their Snowflake Production and QA environments using two separate Snowflake accounts.

The QA account is intended to run and test changes on data and database objects before pushing those changes to the Production account. It is a requirement that all database objects and data in the QA account need to be an exact copy of the database objects, including privileges and data in the Production account on at least a nightly basis.

Which is the LEAST complex approach to use to populate the QA account with the Production account's data and database objects on a nightly basis?

  1. 1. Create a share in the Production account for each database
    2. Share access to the QA account as a Consumer
    3. The QA account creates a database directly from each share
    4. Create clones of those databases on a nightly basis
    5. Run tests directly on those cloned databases
  2. 1. Create a stage in the Production account
    2. Create a stage in the QA account that points to the same external object-storage location
    3. Create a task that runs nightly to unload each table in the Production account into the stage
    4. Use Snowpipe to populate the QA account
  3. 1. Enable replication for each database in the Production account
    2. Create replica databases in the QA account
    3. Create clones of the replica databases on a nightly basis
    4. Run tests directly on those cloned databases
  4. 1. In the Production account, create an external function that connects into the QA account and returns all the data for one specific table
    2. Run the external function as part of a stored procedure that loops through each table in the Production account and populates each table in the QA account

Answer(s): A



A user can change object parameters using which of the following roles?

  1. ACCOUNTADMIN, SECURITYADMIN
  2. SYSADMIN, SECURITYADMIN
  3. ACCOUNTADMIN, USER with PRIVILEGE
  4. SECURITYADMIN, USER with PRIVILEGE

Answer(s): A



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?

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Answer(s): B



  PDF
Viewing page 6 of 23
Viewing questions 26 - 30 out of 254 questions


Post your Comments and Discuss Snowflake SnowPro Advanced Architect exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!