A company has a multi-step order processing workflow that involves calling an external payment API, updating a database, and sending a notification. The workflow can take up to 10 minutes and must be resilient to failures. They want to avoid managing infrastructure. What is the best approach?

Use Pub/Sub to trigger each step asynchronously

Use Cloud Tasks to queue each step

Use Cloud Functions to chain the steps together

Use Workflows to orchestrate the steps, with retries and error handling

What is the purpose of API rate limiting?

To log all API requests for auditing

To encrypt API requests and responses

To control the number of requests a client can make within a given time period

A company runs a stateful application on Compute Engine with data stored on zonal persistent disks. They want to protect against a zonal failure with minimal data loss and minimal downtime. They also want to keep costs low. What is the best approach?

Use a database with cross-region replication

Use a single Compute Engine instance with a regional persistent disk

Use regional persistent disks and a managed instance group across multiple zones

Use zonal persistent disks and take regular snapshots to Cloud Storage

What is the purpose of session affinity in a load-balanced application?

To encrypt all traffic between the client and the backend

To distribute traffic evenly across all backend instances

To ensure that a client's requests are consistently routed to the same backend instance

To automatically scale backend instances based on load

Google CloudProfessional Cloud Developer

Domain 1Objective 1

1.1 Designing High-Performing Applications and APIs PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 3)

Part of the Designing highly scalable, secure, and reliable cloud-native applications domain, which accounts for ~32% of the PROFESSIONAL-CLOUD-DEVELOPER exam.

35questions here

7free pages

15concepts

~32%of the exam

15 Concepts in This Objective

Platform selection criteria
Container building and refactoring
Deploying containers to Cloud Run and GKE
Geographic distribution of Google Cloud services
Load balancer use cases
Session affinity for content delivery
Caching solutions with Memorystore
API creation and deployment
API rate limiting, authentication, and observability
Asynchronous and event-driven integration
Defining resource requirements
Cost and resource optimization
Data replication for failover
Traffic splitting strategies
Service orchestration with Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler

Questions 11–15

11expert · hard
A company has a multi-step order processing workflow that involves calling an external payment API, updating a database, and sending a notification. The workflow can take up to 10 minutes and must be resilient to failures. They want to avoid managing infrastructure. What is the best approach?
Select an answer first
12foundation · easy
What is the purpose of API rate limiting?
Select an answer first
13expert · hard
A company runs a stateful application on Compute Engine with data stored on zonal persistent disks. They want to protect against a zonal failure with minimal data loss and minimal downtime. They also want to keep costs low. What is the best approach?
Select an answer first
14foundation · easy
What is the purpose of session affinity in a load-balanced application?
Select an answer first
15foundation · easy
Which Google Cloud service allows you to split traffic between multiple revisions of a service?
Select an answer first

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