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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:
Mar 19, 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

Your existing application running in Google Kubernetes Engine (GKE) consists of multiple pods running on four GKE n1–standard–2 nodes. You need to deploy additional pods requiring n2–highmem–16 nodes without any downtime. What should you do?

Options:

A.

Use gcloud container clusters upgrade. Deploy the new services.

B.

Create a new Node Pool and specify machine type n2–highmem–16. Deploy the new pods.

C.

Create a new cluster with n2–highmem–16 nodes. Redeploy the pods and delete the old cluster.

D.

Create a new cluster with both n1–standard–2 and n2–highmem–16 nodes. Redeploy the pods and delete the old cluster.

Question 3

Your company has a large quantity of unstructured data in different file formats. You want to perform ETL transformations on the data. You need to make the data accessible on Google Cloud so it can be processed by a Dataflow job. What should you do?

Options:

A.

Upload the data to BigQuery using the bq command line tool.

B.

Upload the data to Cloud Storage using the gsutil command line tool.

C.

Upload the data into Cloud SQL using the import function in the console.

D.

Upload the data into Cloud Spanner using the import function in the console.

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