Question 1

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

Question 2

Heroku Connect is an add-on that syncs Force, com data into:

Options :

A : Someone else-s isolated network environment

B : A Heroku Postgres database

C : A secondary Salesforce instance

D : Only one dyno in your app-s dyno formation

Answer: B

Question 3

Your company is planning to build a large-scale application that needs to handle millions of transactions per day and connect to various on-premise data sources. As a Heroku Architect, which feature of Heroku Enterprise can significantly improve the scalability and connectivity of your application architecture?

Options :

A : Heroku Connect

B : Heroku Data Services

C : Private Spaces

D : Heroku Teams

Answer: C

Question 4

A company is developing a Heroku application that requires advanced data visualization capabilities. As a Salesforce Certified Heroku Architect, which strategy would you recommend?

Options :

A : Use the data visualization capabilities of Heroku Postgres

B : Develop custom data visualization functionality within the application

C : Use a third-party add-on like Keen or Chartio for data visualization

D : Use Heroku Connect to sync data to Salesforce and use Salesforce Reports for visualization

Answer: C

Question 5

Your company is planning to use Apache Kafka on Heroku to handle high-velocity event streams from various sources in real-time. As a Salesforce Certified Heroku Architect, what would you suggest as the best practice for designing this solution?

Options :

A : Store the data directly to a Heroku Postgres database

B : Use a single Kafka topic for all event streams

C : Create separate Kafka topics for different types of event streams

D : Use Heroku Connect for real-time event stream handling

Answer: C

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