Question 1

A client has data in a Heroku Postgres table. They want to generate analytics based on the table and make the results available in their Salesforce org. Their Salesforce administrator wants to minimize the amount of data that is written to Salesforce to accomplish this. Which strategy should an Architect recommend on this scenario?

Options :

A : Use Heroku Connect to sync the Heroku Postgres table to the Salesforce org, and generate analytics from the Salesforce org.

B : Use the Heroku application to generate analytics, and write the results to a separate Heroku Postgres table-Expose that table to the Salesforce org with Heroku External Objects.

C : Use the Heroku application to generate analytics, and write the results to the Salesforce org with the Salesforce Bulk API.

D : Use the Heroku application to generate analytics and write them to a separate Heroku Postgres table. Sync that table to the Salesforce org with Heroku Connect.

Answer: B

Question 2

A company has recently decided to migrate its application from a traditional infrastructure to Heroku. The application is written in Python and has some specific system dependencies. As a Salesforce Certified Heroku Architect, what would you recommend for a successful build and deployment on Heroku?

Options :

A : Write a custom Python script in the application to handle all the dependencies

B : Deploy the application using Heroku Button and handle dependencies later

C : Use an appropriate buildpack that can handle Python applications and these dependencies

D : Use Heroku Add-ons to handle the system dependencies

Answer: C

Question 3

A client wants to add CPU-intensive video processing functionality to their Heroku web application.Which two strategies should an Architect recommend for implementing this functionality? (Choose two.)

Options :

A : Add a new process type for worker dynos that pull video processing jobs from a queue.

B : Attach a video processing add-on from the Heroku Elements Marketplace to the application.

C : Delegate video processing tasks to the app-s staging version to remove load from the production app. D. Divide each video processing task across multiple web dynos to mitigate added CPU load.

Answer: A,B

Question 4

You are designing a microservices-based e-commerce application on Heroku. You need a way to orchestrate and decouple the services for better scalability and reliability. You are considering Apache Kafka on Heroku for this purpose. What are the key considerations when integrating Apache Kafka into the architecture?

Options :

A : Apache Kafka would replace the need for any databases

B : Apache Kafka can handle stateful operations

C : Apache Kafka should be used as a message broker to decouple services

D : Apache Kafka can serve as the application-s frontend

Answer: C

Question 5

Your company has a Salesforce application and a Heroku application. The Heroku app stores customer information in a Heroku Postgres database. Each record has a unique identifier. The Salesforce app also contains customer records but does not have the unique identifier from the Heroku Postgres database. How should you integrate these systems with Heroku Connect to ensure data consistency?

Options :

A : Add a field to Salesforce customer records for the unique identifier, then set up bi-directional sync with this field as the External ID

B : Use a Salesforce record ID as an External ID in the Heroku Postgres database, then set up bi-directional sync

C : Set up bi-directional sync without using an External ID

D : Add a field to Salesforce customer records for the unique identifier, then set up one-way sync from Salesforce to Heroku Postgres

Answer: A

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