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Google Associate-Cloud-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Associate Cloud Engineer
Exam Number:	GCP ACE
Related Certifications:	Professional Cloud Architect Professional Data Engineer Professional Cloud Developer
Certificate Validity Period:	2 years
Real Exam Qty:	50
Exam Format:	Multiple Select, Multiple Choice
Exam Price:	$125 USD
Available Languages:	Portuguese, Japanese, English, Spanish
Exam Duration:	120 minutes
Passing Score:	70%
Sample Questions:	Google Associate-Cloud-Engineer Sample Questions
Exam Way:	Online proctored or in-person testing center
Pre Condition:	No formal prerequisites required. Recommended: hands-on experience with GCP Console and command-line tools, basic understanding of cloud computing concepts.
Official Syllabus URL:	https://cloud.google.com/certification/associate-cloud-engineer

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Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Exam is a certification exam designed for individuals who have basic knowledge and experience with Google Cloud Platform (GCP) products and services. Associate-Cloud-Engineer exam focuses on testing the candidate's ability to deploy applications, monitor operations, and manage enterprise solutions on GCP. Since the exam is designed for entry-level candidates, it is a great starting point for those who are looking to establish their careers as cloud engineers.

Google Associate Cloud Engineer Exam Sample Questions (Q316-Q321):

NEW QUESTION # 316
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. 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.
C. 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
D. 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

Answer: D

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 # 317
Your company is seeking a scalable solution to retain and explore application logs hosted on Compute Engine. You must be able to analyze your logs with SQL queries, and you want to be able to create charts to identify patterns and trends in your logs over time. You want to follow Google-recommended practices and minimize your operational costs. What should you do?

A. Use a custom script to push your application logs to Cloud SQL for exploration.
B. Use a custom script to push your application logs to BigQuery for exploration.
C. Ingest your application logs to Cloud Logging by using Ops Agent, and explore your logs in Logs Explorer.
D. Ingest your application logs to Cloud Logging by using Ops Agent, and explore your logs with Log Analytics.

Answer: B

NEW QUESTION # 318
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?

A. Select "Container-Optimized OS (cos)" as a node image for your GKE cluster.
B. Select the latest available cluster version for your GKE cluster.
C. Enable the Node Auto-Upgrades feature for your GKE cluster.
D. Enable the Node Auto-Repair feature for your GKE cluster.

Answer: C

Explanation:
Creating or upgrading a cluster by specifying the version as <latest> does not provide automatic upgrades. Enable automatic node upgrades to ensure that the nodes in your cluster up to date with the latest stable version.
https://cloud.google.com/kubernetes-engine/versioning-and-upgrades

NEW QUESTION # 319
You have experimented with Google Cloud using your own credit card and expensed the costs to your company. Your company wants to streamline the billing process and charge the costs of your projects to their monthly invoice. What should you do?

A. Grant the financial team the IAM role of Billing Account User'S on the billing account linked to your credit card.
B. Set up BigQuery billing export and grant your financial department IAM access to query the data.
C. Create a ticket with Google Billing Support to ask them to send the invoice to your company.
D. Change the billing account of your projects to the billing account of your company.

Answer: D

NEW QUESTION # 320
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

A. Create a node pool with preemptible VMs and GPUs attached to those VMs.
B. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.
C. Enable node auto-provisioning on the GKE cluster.
D. Create a VerticalPodAutscaler for those workloads.

Answer: A

Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/how-to/gpus

NEW QUESTION # 321
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