Question 1

Your organization’s application on Heroku is experiencing unexpected traffic spikes, causing performance issues. As a Salesforce Certified Heroku Architect, what approach would you recommend to handle these traffic spikes and maintain the application’s performance?

Options :

A : Increase the application-s dyno size to the maximum available

B : Implement horizontal scaling by increasing the number of dynos

C : Implement autoscaling based on metrics like response time or throughput

D : Move the application to a different region to balance load

Answer: C

Question 2

Which of the following is NOT an advantage of data replication over data proxies?

Options :

A : A replicated data set reduces data access latency.

B : A replicated data set supports bidirectional writes.

C : A replicated data set offloads processing and requests from an origin data server.

D : A replicated data set is always and immediately in sync with the origin data

Answer: D

Question 3

Your client has an application running in Heroku Common Runtime. They want to maintain the existing architecture but need to access a private resource in their AWS VPC. Which solution would you recommend?

Options :

A : Move the application to a Heroku Private Space and configure Private Space Peering

B : Configure a Heroku VPN connection to the AWS VPC

C : Use an internet-facing endpoint for the private resource in AWS VPC

D : There is no way to accomplish this, as Heroku Common Runtime cannot connect to a private resource in AWS VPC

Answer: D

Question 4

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 5

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

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