A company runs a critical internal application on a Compute Engine VM. The application is stateless and can handle multiple instances. The company wants to improve availability and reduce the risk of a single point of failure. What should the company do?

Migrate the application to Cloud Functions and trigger it via HTTP requests.

Create a single larger VM with more CPU and memory to handle failures.

Use a regional persistent disk and attach it to the existing VM.

Create a managed instance group with two or more instances and place them in different zones within the same region.

An architect is designing a solution for a startup that expects rapid user growth. Which architectural choice best accommodates anticipated scaling needs?

Deploying the application on a single large VM

Using a managed load balancer with autoscaling instance groups

Using a single-zone deployment with no redundancy

Storing session data in local instance memory

Which design approach best supports future-proofing an architecture for anticipated growth in data volume?

Choosing a fixed-size database instance

Using a data warehouse that supports automatic scaling

Storing all data in a single regional bucket

Using a monolithic application on a single VM

A gaming company runs a real-time leaderboard service on a Kubernetes cluster. The service reads and writes to a Redis cache that is deployed as a StatefulSet in the cluster. The company wants to reduce operational overhead and improve scalability without rewriting the application. What should the company do?

Replace the self-managed Redis with Memorystore for Redis and update the application's connection string.

Migrate the leaderboard data to Cloud Bigtable and use the existing Redis as a cache.

Move the entire Kubernetes cluster to Google Kubernetes Engine (GKE) Autopilot.

Increase the number of Redis replicas in the StatefulSet and configure a headless service for discovery.

Google CloudProfessional Cloud Architect

Domain 1Objective 5

1.5 Envisioning Future Solution Improvements PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 4)

Part of the Designing and planning a cloud solution architecture domain, which accounts for ~25% of the PROFESSIONAL-CLOUD-ARCHITECT exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~13–20 in this domain), expect 3–4 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

6concepts

~25%of the exam

Questions 16–20

16application · medium
A company runs a critical internal application on a Compute Engine VM. The application is stateless and can handle multiple instances. The company wants to improve availability and reduce the risk of a single point of failure. What should the company do?
Select an answer first
17foundation · easy
An architect is designing a solution for a startup that expects rapid user growth. Which architectural choice best accommodates anticipated scaling needs?
Select an answer first
18foundation · easy
Which design approach best supports future-proofing an architecture for anticipated growth in data volume?
Select an answer first
19application · medium
A gaming company runs a real-time leaderboard service on a Kubernetes cluster. The service reads and writes to a Redis cache that is deployed as a StatefulSet in the cluster. The company wants to reduce operational overhead and improve scalability without rewriting the application. What should the company do?
Select an answer first
20foundation · easy
Which cloud technology advancement is most directly associated with improving scalability for a web application that experiences unpredictable traffic spikes?
Select an answer first

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1.5 Envisioning Future Solution Improvements PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 4)

Questions 16–20

A company runs a critical internal application on a Compute Engine VM. The application is stateless and can handle multiple instances. The company wants to improve availability and reduce the risk of a single point of failure. What should the company do?

An architect is designing a solution for a startup that expects rapid user growth. Which architectural choice best accommodates anticipated scaling needs?

Which design approach best supports future-proofing an architecture for anticipated growth in data volume?

Which cloud technology advancement is most directly associated with improving scalability for a web application that experiences unpredictable traffic spikes?

Keep studying — Designing and planning a cloud solution architecture