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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:
Vendor:
Questions:
332
Last Updated:
Apr 3, 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

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 planning to migrate your containerized workloads to Google Kubernetes Engine (GKE). You need to determine which GKE option to use. Your solution must have high availability, minimal downtime, and the ability to promptly apply security updates to your nodes. You also want to pay only for the compute resources that your workloads use without managing nodes. You want to follow Google-recommended practices and minimize operational costs. What should you do?

Options:

A.

Configure a Standard multi-zonal GKE cluster.

B.

Configure an Autopilot GKE cluster.

C.

Configure a Standard zonal GKE cluster.

D.

Configure a Standard regional GKE cluster.

Question 3

The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors. You expect high throughput – up to thousands of events per hour per device – and need to retrieve consistent databased on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

Options:

A.

Create a file in Cloud Storage per device and append new data to that file.

B.

Create a file in Cloud Filestore per device and append new data to that file.

C.

Ingest the data into Datastore. Store data in an entity group based on the device.

D.

Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.