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Google Associate-Cloud-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Associate-Cloud-Engineer
Exam Name:
Google Cloud Certified - Associate Cloud Engineer
Certification:
Google Cloud Certified
Vendor:
Google
Questions:
332
Last Updated:
Apr 26, 2026
Exam Status:
Stable
Google Associate-Cloud-Engineer

Associate-Cloud-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Cloud Certified - Associate Cloud Engineer Questions and Answers

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Question 1

You want to run a single caching HTTP reverse proxy on GCP for a latency-sensitive website. This specific reverse proxy consumes almost no CPU. You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes. You want to minimize cost. How should you run this reverse proxy?

Options:

A.

Create a Cloud Memorystore for Redis instance with 32-GB capacity.

B.

Run it on Compute Engine, and choose a custom instance type with 6 vCPUs and 32 GB of memory.

C.

Package it in a container image, and run it on Kubernetes Engine, using n1-standard-32 instances as nodes.

D.

Run it on Compute Engine, choose the instance type n1-standard-1, and add an SSD persistent disk of 32 GB.

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Question 2

You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

Options:

A.

Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery

B.

Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery

C.

Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable

D.

Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery

Question 3

You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster. Each microservice is a deployment with resource limits configured for each container in the deployment. You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

Options:

A.

Modify the cluster's node pool machine type and choose a machine type with more memory and CPU.

B.

Configure a Horizontal Pod Autoscaler for each microservice.

C.

Configure GKE cluster autoscaling.

D.

Configure a Vertical Pod Autoscaler for each microservice.

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