Valid Associate-Cloud-Engineer Exam Objectives | Valid Associate-Cloud-Engineer Study Materials

BTW, DOWNLOAD part of PremiumVCEDump Associate-Cloud-Engineer dumps from Cloud Storage: https://drive.google.com/open?id=1jBmrsRbVPsYngzjvKeup_fQDN0sMd0pu

Learning is just a part of our life. We do not hope that you spend all your time on learning the Associate-Cloud-Engineer certification materials. Life needs balance, and productivity gives us a sense of accomplishment and value. So our Associate-Cloud-Engineer real exam dumps have simplified your study and alleviated your pressure from study. It is our goal that you study for a short time but can study efficiently. At present, thousands of candidates have successfully passed the Associate-Cloud-Engineer Exam with less time input. In fact, there is no point in wasting much time on invalid input. As old saying goes, all work and no play makes jack a dull boy. Our Associate-Cloud-Engineer certification materials really deserve your choice. Contact us quickly. We are waiting for you.

Google Associate Cloud Engineer certification exam is designed for professionals who want to demonstrate their proficiency in using Google Cloud technologies to deploy, manage, and monitor applications on the cloud. It is a highly respected certification that is recognized in the industry and can help individuals advance their careers in cloud computing.

>> Valid Associate-Cloud-Engineer Exam Objectives <<

Valid Associate-Cloud-Engineer Study Materials | Valid Associate-Cloud-Engineer Vce

Google exam simulation software is the best offline method to boost preparation for the Google Associate-Cloud-Engineer examination. The software creates a Associate-Cloud-Engineer real practice test-like scenario where aspirants face actual Associate-Cloud-Engineer exam questions. This feature creates awareness among users about Google Associate Cloud Engineer Exam exam pattern and syllabus. With the desktop Google Associate-Cloud-Engineer Practice Exam software, you can practice for the test offline via any Windows-based computer.

Google Associate-Cloud-Engineer Certification Exam is an excellent way for professionals to demonstrate their skills and knowledge in deploying and managing applications on the GCP. Google Associate Cloud Engineer Exam certification provides individuals with the opportunity to enhance their cloud computing career and open up new opportunities for themselves in this field.

Google Associate Cloud Engineer Exam Sample Questions (Q199-Q204):

NEW QUESTION # 199
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
B. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
C. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
D. Select Compute Engine. Use VM instance types that support micro bursting.

Answer: A

Explanation:
If your apps are fault-tolerant and can withstand possible instance preemptions, then preemptible instances can reduce your Compute Engine costs significantly. For example, batch processing jobs can run on preemptible instances. If some of those instances stop during processing, the job slows but does not completely stop.
Preemptible instances complete your batch processing tasks without placing additional workload on your existing instances and without requiring you to pay full price for additional normal instances.
https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 200
You have created an application that is packaged into a Docker image. You want to deploy the Docker image as a workload on Google Kubernetes Engine. What should you do?

A. Upload the image to Artifact Registry and create a Kubernetes Service referencing the image.
B. Upload the image to Artifact Registry and create a Kubernetes Deployment referencing the image.
C. Upload the image to Cloud Storage and create a Kubernetes Service referencing the image.
D. Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image.

Answer: B

Explanation:
Kubernetes Deployment is responsible for deploying and managing an application (running in pods) on your GKE cluster.
https://cloud.google.com/kubernetes-engine/docs/how-to/deploying-workloads- overview#stateless_applications

NEW QUESTION # 201
You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web-applications project.
What should you do?

A. Give "project owner" role to crm-databases-proj and the web-applications project.
B. Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.
C. Give "project owner" for web-applications appropriate roles to crm-databases- proj
D. Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web-applications.

Answer: B

NEW QUESTION # 202
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. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.
B. Ask your ML team to add the "accelerator: gpu" annotation to their pod specification.
C. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.
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 # 203
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2. Create a Cloud Function that deletes snapshots that are older than 30 days.
3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
B. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30
C. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
- Schedule frequency: Daily
- Start time: 1:00 AM ?2:00 AM
- Autodelete snapshots after 30 days
D. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3. Configure the instance's crontab to execute these scripts daily at 1:00 AM.

Answer: C

Explanation:
Creating scheduled snapshots for persistent disk
This document describes how to create a snapshot schedule to regularly and automatically back up your zonal and regional persistent disks. Use snapshot schedules as a best practice to back up your Compute Engine workloads. After creating a snapshot schedule, you can apply it to one or more persistent disks.
https://cloud.google.com/compute/docs/disks/scheduled-snapshots

NEW QUESTION # 204
......

Valid Associate-Cloud-Engineer Study Materials: https://www.premiumvcedump.com/Google/valid-Associate-Cloud-Engineer-premium-vce-exam-dumps.html

2026 Latest PremiumVCEDump Associate-Cloud-Engineer PDF Dumps and Associate-Cloud-Engineer Exam Engine Free Share: https://drive.google.com/open?id=1jBmrsRbVPsYngzjvKeup_fQDN0sMd0pu