Question 1

The existing architecture of your application suffers from a single point of failure, which makes the system vulnerable to downtime. As a Salesforce Certified Heroku Architect, which Heroku Enterprise feature would you recommend to address this issue and improve the system’s architecture?

Options :

A : Heroku Data Services

B : Heroku Dynos

C : Heroku Private Spaces

D : Heroku Add-ons

Answer: C

Question 2

You can use the Salesforce REST APIs to:

Options :

A : Execute processes as another user

B : Access database log files

C : Feed your kitten

D : Insert or update records

Answer: D

Question 3

You are working on a project where you need to deploy a Python application on Heroku. The application requires some specific Linux libraries to function correctly. What should be your approach to ensure the application’s successful deployment and operation on Heroku?

Options :

A : Write custom code to include the Linux libraries in the application

B : Use the appropriate Python buildpack from the Elements Marketplace

C : Use an add-on that provides these Linux libraries

D : Deploy the application using a Heroku Button

Answer: B

Question 4

Your organization has a Salesforce instance and a Heroku app. The app processes data that comes from an external system, and the resulting data must be synchronized with Salesforce objects. However, the records in Salesforce must maintain the external ID that comes from the original system. How should you architect this?

Options :

A : Store the data and external ID in a Heroku Postgres database, and use Heroku Connect to sync it with Salesforce

B : Use a Salesforce Canvas App in Heroku to display the data and external ID within Salesforce

C : Use Heroku Kafka to process the data and an Apex job to pull the processed data into Salesforce

D : Use Salesforce Connect to expose the Heroku Postgres data in Salesforce, without data sync

Answer: A

Question 5

A finance company is dealing with multiple applications that need to process vast amounts of transaction data in real time. They are experiencing difficulties because the data isn’t processed quickly enough, which slows down the applications and results in user dissatisfaction. As a Heroku Architect, how would you solve this issue?

Options :

A : Integrate a third-party data processing tool

B : Upgrade to more powerful Heroku Dynos

C : Implement Apache Kafka on Heroku to manage the data streams

D : Use Heroku Redis to speed up data processing

Answer: C

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