Pass Guaranteed Quiz 2026 Google Fantastic Associate-Cloud-Engineer: Google Associate Cloud Engineer Exam Lab Questions

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Planning and Configuring a Cloud Solution	20-25%	- Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring data storage options 1. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes - Planning and configuring compute resources 1. Selecting appropriate machine types and zones 2. Configuring persistent disks and local SSDs - Planning and configuring network resources 1. Configuring load balancing and firewall rules 2. Designing VPC networks
Topic 2: Configuring Access and Security	15-20%	- Managing IAM resources 1. Creating and managing IAM roles 2. Defining custom IAM roles 3. Applying IAM policies to resources - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing service accounts 1. Creating and managing service accounts 2. Using service account keys 3. Assigning service accounts to resources
Topic 3: Ensuring Successful Operation	15-20%	- Managing logging and monitoring 1. Viewing and analyzing logs 2. Using Cloud Monitoring and Logging 3. Creating metrics and alerts - Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Managing instances, disks, and snapshots 3. Attaching and detaching disks - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing Kubernetes Engine resources 1. Upgrading clusters 2. Managing workloads (Deployments, Services, HPA) 3. Scaling clusters and node pools - Managing storage and data solutions 1. Managing Cloud Storage buckets and objects 2. Setting lifecycle policies 3. Configuring CORS and encryption
Topic 4: Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Linking billing to projects 2. Creating billing accounts 3. Setting up budget alerts and notifications - Setting up cloud projects and accounts 1. Assigning IAM roles to users and groups 2. Managing billing budgets and alerts 3. Creating and managing projects
Topic 5: Deploying and Implementing a Cloud Solution	20-25%	- Deploying applications with Cloud Deployment Manager 1. Creating deployment configurations 2. Using templates for resource provisioning - Deploying and managing Compute Engine resources 1. Creating and managing managed instance groups 2. Creating and managing instances with startup scripts 3. Creating and managing custom machine types - Deploying and managing Cloud Functions 1. Creating and triggering Cloud Functions 2. Configuring triggers and environment variables - Deploying and managing Kubernetes Engine resources 1. Deploying workloads with Deployments and Services 2. Configuring kubectl for cluster access 3. Creating and managing GKE clusters - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run

>> Associate-Cloud-Engineer Lab Questions <<

Unparalleled Associate-Cloud-Engineer Google Lab Questions and Perfect Practice Test Associate-Cloud-Engineer Fee

There is no doubt that we all dream of working for top companies around the globe. Some people make it through but some keep on thinking about how to break that glass. If you are among those who belong to the latter category, you should start the preparations for the Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) certification exam to improve your knowledge, expertise and crack even the toughest interview easily.

Google Associate Cloud Engineer Exam Sample Questions (Q149-Q154):

NEW QUESTION # 149
Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?

A. Add your SREs to a group and then add this group to roles/accessapproval approver role.
B. Add your SREs to roles/accessapproval approver role.
C. Add your SREs to roles/iam.roleAdmin role.
D. Add your SREs to a group and then add this group to roles/iam roleAdmin role.

Answer: A

NEW QUESTION # 150
You are operating a Google Kubernetes Engine (GKE) cluster for your company where different teams can run non-production workloads. Your Machine Learning (ML) team needs access to Nvidia Tesla P100 GPUs to train their models. You want to minimize effort and cost. What should you do?

A. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.
B. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.
C. Ask your ML team to add the "accelerator: gpu" annotation to their pod specification.
D. Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the cloud.google.com/gke -accelerator: nvidia-tesla-p100 nodeSelector to their pod specification.

Answer: D

Explanation:
This is the most optimal solution. Rather than recreating all nodes, you create a new node pool with GPU enabled. You then modify the pod specification to target particular GPU types by adding node selector to your workloads Pod specification. YOu still have a single cluster so you pay Kubernetes cluster management fee for just one cluster thus minimizing the cost.
Ref: https://cloud.google.com/kubernetes-engine/docs/how-to/gpus
Ref: https://cloud.google.com/kubernetes-engine/pricing
Example:
apiVersion: v1
kind: Pod
metadata:
name: my-gpu-pod
spec:
containers:
name: my-gpu-container
image: nvidia/cuda:10.0-runtime-ubuntu18.04
command: [/bin/bash]
resources:
limits:
nvidia.com/gpu: 2
nodeSelector:
cloud.google.com/gke-accelerator: nvidia-tesla-k80 # or nvidia-tesla-p100 or nvidia-tesla-p4 or nvidia-tesla-v100 or nvidia-tesla-t4

NEW QUESTION # 151
You need to manage multiple Google Cloud projects in the fewest steps possible. You want to configure the Google Cloud SDK command line interface (CLI) so that you can easily manage multiple projects. What should you do?

A. 1. Use the default configuration for one project you need to manage.
2. Use gcloud initto update the configuration values when you need to work with a non-default project.
B. 1. Create a configuration for each project you need to manage.
2. Use gcloud initto update the configuration values when you need to work with a non-default project
C. 1. Use the default configuration for one project you need to manage.
2. Activate the appropriate configuration when you work with each of your assigned Google Cloud projects.
D. 1. Create a configuration for each project you need to manage.
2. Activate the appropriate configuration when you work with each of your assigned Google Cloud projects.

Answer: A

NEW QUESTION # 152
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectlto examine the status of your Pod and observe that one of them is still in Pendingstatus:

What is the most likely cause?

A. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
B. The pending Pod's resource requests are too large to fit on a single node of the cluster.
C. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
D. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.

Answer: D

Explanation:
Reasons for a Pod Status Pending:
Troubleshooting Reason #1: Not enough CPU
Troubleshooting Reason #2: Not enough memory
Troubleshooting Reason #3: Not enough CPU and memory
https://managedkube.com/kubernetes/k8sbot/troubleshooting/pending/pod/2019/02/22/pending- pod.html

NEW QUESTION # 153
You are deploying a new application on a Compute Engine VM instance. This application needs to store operational logs in a Cloud Storage bucket named project-logs-us-central1 and have the ability to create new objects (logs) in this bucket. The application must be restricted from modifying or deleting existing objects or accessing any other buckets in the Google Cloud project. You must configure access following the principle of least privilege. What should you do?

A. Grant the Compute Engine default service account the predefined roles/storage.objectCreator IAM role on the Google Cloud project. Attach the service account to the Compute Engine VM instance.
B. Grant the Compute Engine default service account the predefined roles/storage.objectAdmin IAM role on the Google Cloud project.
C. Create a dedicated service account for the application. Grant this service account the predefined roles
/storage.objectCreator IAM role on the project-logs-us-central1 Cloud Storage bucket. Attach the service account to the Compute Engine VM instance.
D. Create a dedicated service account for the application. Generate a service account key, and grant the service account the predefined roles/storage.admin IAM role on the project-logs-us-central1 Cloud Storage bucket. Store the key file on the Compute Engine VM.

Answer: C

Explanation:
The correct answer is A because the application only needs to create new log objects in one specific bucket. A dedicated service account gives the workload its own identity, and granting roles/storage.
objectCreator on the bucket limits access to the minimum scope. Google Cloud documents that Storage Object Creator allows object creation but does not grant permission to view, delete, or overwrite objects, and the role can be granted at the bucket level. Object Admin and Storage Admin are excessive because they allow broader object or bucket administration. Using the default Compute Engine service account at project scope is also too broad. Generating a service account key is unnecessary and weakens security.

NEW QUESTION # 154
......

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