How does the geographic distribution of Google Cloud services affect network latency for end users?

Latency is determined solely by the size of the VM instance

Latency is always lower in regions with more zones

Latency is independent of the region where the service is hosted

Latency generally increases with the physical distance between the user and the region

A team is designing a new microservice API that will be used by mobile clients. The API needs to support low-latency, bidirectional streaming for a chat feature, and the team wants to use a strongly-typed contract. Which API design should they choose?

Use REST with WebSockets for streaming

Use gRPC with bidirectional streaming

What is the primary purpose of deploying an application across multiple zones within a region?

To increase the total amount of CPU and memory available to a single VM

To provide high availability by protecting against zone-level failures

To reduce latency for users in different geographic areas

To comply with data residency requirements in multiple countries

What is the purpose of traffic splitting in a deployment?

To encrypt traffic between services

To automatically scale instances based on traffic

To route a percentage of traffic to different versions of an application

To balance traffic across multiple regions

Which Google Cloud load balancer is appropriate for distributing HTTP(S) traffic to a global set of backend services?

External TCP/UDP Network Load Balancer

Google CloudProfessional Cloud Developer

Domain 1Objective 1

1.1 Designing High-Performing Applications and APIs PROFESSIONAL-CLOUD-DEVELOPER Practice Questions (Page 1)

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 1–5

1foundation · easy
How does the geographic distribution of Google Cloud services affect network latency for end users?
Select an answer first
2application · medium
A team is designing a new microservice API that will be used by mobile clients. The API needs to support low-latency, bidirectional streaming for a chat feature, and the team wants to use a strongly-typed contract. Which API design should they choose?
Select an answer first
3foundation · easy
What is the primary purpose of deploying an application across multiple zones within a region?
Select an answer first
4foundation · easy
What is the purpose of traffic splitting in a deployment?
Select an answer first
5foundation · easy
Which Google Cloud load balancer is appropriate for distributing HTTP(S) traffic to a global set of backend services?
Select an answer first

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