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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:
May 21, 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 create a new Google Kubernetes Engine (GKE) cluster and want to make sure that it always runs a supported and stable version of Kubernetes. What should you do?

Options:

A.

Enable the Node Auto-Repair feature for your GKE cluster.

B.

Enable the Node Auto-Upgrades feature for your GKE cluster.

C.

Select the latest available cluster version for your GKE cluster.

D.

Select “Container-Optimized OS (cos)” as a node image for your GKE cluster.

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Question 2

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.

Question 3

You use Cloud Logging lo capture application logs. You now need to use SOL to analyze the application logs in Cloud Logging, and you want to follow Google-recommended practices. What should you do?

Options:

A.

Develop SQL queries by using Gemini for Google Cloud.

B.

Enable Log Analytics for the log bucket and create a linked dataset in BigQuery.

C.

Create a schema for the storage bucket and run SQL queries for the data in the bucket.

D.

Export logs to a storage bucket and create an external view in BigQuery.

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