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Google Associate Cloud Engineer Certification Exam is designed to validate the skills and knowledge of individuals who are interested in working with Google Cloud Platform (GCP) products and services. Google Associate Cloud Engineer Exam certification is an entry-level credential that is intended to showcase a candidate's understanding of the fundamental concepts of cloud computing and the ability to use GCP services to deploy and manage applications in the cloud.

Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Certification Exam is designed for individuals who want to demonstrate their understanding of Google Cloud Platform (GCP) and their ability to deploy, manage, and operate applications on GCP. Google Associate Cloud Engineer Exam certification is ideal for IT professionals who are responsible for managing and deploying applications on cloud platforms. Associate-Cloud-Engineer Exam Tests your knowledge of GCP services, networking, security, and application deployment.

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Latest Google Associate-Cloud-Engineer Exam Questions - Exam Associate-Cloud-Engineer Reference

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	Configuring access and security: Identity and Access Management (IAM), service accounts, and audit logs are focal points of this topic.
Topic 2	Planning and configuring a cloud solution: The topic is all about planning Google Cloud product use, compute resources, data storage options, and network resources.
Topic 3	Setting up a cloud solution environment: This topic discusses setting up cloud projects and accounts. It also discusses management of billing configuration. Moreover, the questions about installing and configuring the command line interface (CLI) also appear.
Topic 4	Deploying and implementing a cloud solution: In this topic questions about Compute Engine resources, Google Kubernetes Engine resources, Cloud Run and Cloud Functions resources. It also delves into data solutions, networking resources, Cloud Marketplace, and implementing resources via infrastructure as code.
Topic 5	Ensuring successful operation of a cloud solution: Questions about monitoring and logging appear. It also focuses on networking resources, storage and database solutions, Cloud Run resources, and managing Google Kubernetes Engine resources.

Google Associate Cloud Engineer Exam Sample Questions (Q71-Q76):

NEW QUESTION # 71
You have a VM instance running in a VPC with single-stack subnets. You need to ensure that the VM instance has a fixed IP address so that other services hosted in the same VPC can communicate with the VM. You want to follow Google-recommended practices while minimizing cost. What should you do?

A. Promote the existing IP address of the VM to become a static external IP address.
B. Reserve a new static external IPv6 address and assign the new IP address to the VM.
C. Promote the existing IP address of the VM to become a static internal IP address.
D. Reserve a new static external IP address and assign the new IP address to the VM.

Answer: A

NEW QUESTION # 72
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. Create a VerticalPodAutscaler for those workloads.
D. Enable node auto-provisioning on the GKE cluster.

Answer: A

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

NEW QUESTION # 73
A customer is deploying a production portal application on AWS. The database tier has structured data. The company requires a solution that is easily manageable and highly available.
How can these requirements be met?

A. Deploy the database on multiple Amazon EC2 instances backed by Amazon EBS across multiple Availability Zones.
B. Use RDS with a single Available Zone option and schedule periodic database snapshots.
C. Use Amazon RDS with a multiple Availability Zone option.
D. Use Amazon DynamoDB.

Answer: C

Explanation:
Explanation/Reference: https://aws.amazon.com/rds/

NEW QUESTION # 74
An application generates daily reports in a Compute Engine virtual machine (VM). The VM is in the project corp-iot-insights. Your team operates only in the project corp-aggregate-reports and needs a copy of the daily exports in the bucket corp-aggregate-reports-storage. You want to configure access so that the daily reports from the VM are available in the bucket corp-aggregate-reports-storage and use as few steps as possible while following Google-recommended practices. What should you do?

A. Create a Shared VPC network between both projects. Grant the VM Service Account the role Storage Object Creator on corp-iot-insights.
B. Make corp-aggregate-reports-storage public and create a folder with a pseudo-randomized suffix name.Share the folder with the IoT team.
C. Grant the VM Service Account the role Storage Object Creator on corp-aggregate-reports-storage.
D. Move both projects under the same folder.

Answer: C

Explanation:
Explanation
Predefined roles
The following table describes Identity and Access Management (IAM) roles that are associated with Cloud Storage and lists the permissions that are contained in each role. Unless otherwise noted, these roles can be applied either to entire projects or specific buckets.
Storage Object Creator (roles/storage.objectCreator) Allows users to create objects. Does not give permission to view, delete, or overwrite objects.
https://cloud.google.com/storage/docs/access-control/iam-roles#standard-roles

NEW QUESTION # 75
(You are deploying an application to Google Kubernetes Engine (GKE). The application needs to make API calls to a private Cloud Storage bucket. You need to configure your application Pods to authenticate to the Cloud Storage API, but your organization policy prevents the usage of service account keys. You want to follow Google-recommended practices. What should you do?)

A. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 8 hours.
B. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 24 hours.
C. Create the GKE cluster with Workload Identity Federation. Create a Google service account and a Kubernetes ServiceAccount, and configure both service accounts to use Workload Identity Federation.
Attach the Kubernetes ServiceAccount to the application Pods and configure the Google service account to access the bucket with Identity and Access Management (IAM).
D. Create the GKE cluster with Workload Identity Federation. Configure the default node service account to access the bucket. Deploy the application into the cluster so the application can use the node service account permissions. Use Identity and Access Management (IAM) to grant the service account access to the bucket.

Answer: C

Explanation:
The organization policy explicitly prevents the use of service account keys, so options A and B, which involve requesting exceptions to create them, are not in line with the policy and Google's recommended practices for secure authentication.

NEW QUESTION # 76
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