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Google Associate Cloud Engineer Exam Sample Questions (Q212-Q217):

NEW QUESTION # 212
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. Ask your ML team to add the "accelerator: gpu" annotation to their pod specification.
B. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.
C. 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.
D. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.

Answer: C

Explanation:
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/gpusRef: https://cloud.google.com/kubernetes 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 # 213
You want to set up a Google Kubernetes Engine cluster Verifiable node identity and integrity are required for the cluster, and nodes cannot be accessed from the internet. You want to reduce the operational cost of managing your cluster, and you want to follow Google-recommended practices. What should you do?

A. Deploy a standard public cluster and enable shielded nodes.
B. Deploy a public autopilot cluster.
C. Deploy a private autopilot cluster
D. Deploy a standard private cluster and enable shielded nodes.

Answer: C

NEW QUESTION # 214
You assist different engineering teams in deploying their infrastructure on Google Cloud. Your company has defined certain practices required for all workloads. You need to provide the engineering teams with a solution that enables teams to deploy their infrastructure independently without having to know all implementation details of the company's required practices. What should you do?

A. Write Terraform modules for each component that are compliant with the company's required practices, and ask teams to implement their infrastructure through these modules.
B. Create a service account per team, and grant the service account the Project Editor role. Ask the teams to provision their infrastructure through the Google Cloud CLI (gcloud CLI), while impersonating their dedicated service account.
C. Provide training for all engineering teams you work with to understand the company's required practices. Allow the engineering teams to provision the infrastructure to best meet their needs.
D. Configure organization policies to enforce your company's required practices. Ask the teams to provision their infrastructure by using the Google Cloud console.

Answer: A

Explanation:
The goal is to enable teams to deploy infrastructure independently while ensuring compliance with company practices, without requiring teams to understand the underlying details of those practices.
Option A provides deployment capability but doesn't enforce practices. The Editor role is overly broad, and using the gcloud CLI directly requires knowledge of how to configure resources compliantly.
Option B requires teams to learn all the practices, contradicting the requirement that they don't need to know the implementation details.
Option C (Organization Policies) is useful for setting constraints (e.g., disallowing public IPs, restricting regions), but it doesn't provide pre-configured, deployable components that embody best practices. Teams still need to figure out how to build compliant resources within the policy constraints.
Option D (Terraform Modules): This approach encapsulates the company's required practices within reusable infrastructure-as-code modules. Engineering teams can then use these modules as building blocks, providing only the necessary input parameters (like application name or size). The module handles the compliant implementation details internally. This allows teams to deploy independently and ensures compliance without needing deep knowledge of every practice.
Using standardized, compliant modules is a common pattern for enabling self-service infrastructure deployment while maintaining standards and governance.
References:
Terraform Modules: "Modules are containers for multiple resources that are used together... Modules allow complex resources to be abstracted away behind a clean interface." - https://developer.hashicorp.com
/terraform/language/modules
Google Cloud Architecture Framework - Security, privacy, and compliance: Recommends using IaC and pre- approved templates/modules to enforce security configurations. - https://cloud.google.com/architecture
/framework/security-privacy-compliance/define-and-enforce-security-configurations Organization Policy Service: "The Organization Policy Service gives you centralized and programmatic control over your organization's cloud resources... define constraints..." (Focuses on constraints, not providing deployable components). - https://cloud.google.com/resource-manager/docs/organization-policy/overview

NEW QUESTION # 215
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

A. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3}) %2.In Stackdriver Monitoring, create an Alerting Policy based on this metric.3.Configure your email address in the notification channel.
B. 1. Create a Stackdriver Workspace, and associate your GCP project with it.2.Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.3.Create an uptime check for the instance in Stackdriver.
C. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.2.
Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.3.Configure your email address in the notification channel.
D. 1. Create a consumer Gmail account.2.Write a script that monitors the CPU usage.3.When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.
com on port 25 as SMTP server.

Answer: C

Explanation:
Specifying conditions for alerting policies This page describes how to specify conditions for alerting policies.
The conditions for an alerting policy define what is monitored and when to trigger an alert. For example, suppose you want to define an alerting policy that emails you if the CPU utilization of a Compute Engine VM instance is above 80% for more than 3 minutes. You use the conditions dialog to specify that you want to monitor the CPU utilization of a Compute Engine VM instance, and that you want an alerting policy to trigger when that utilization is above 80% for 3 minutes.https://cloud.google.com/monitoring/alerts/ui-conditions-ga
https://cloud.google.com/monitoring/alerts/using-alerting-uihttps://cloud.google.com/monitoring/support
/notification-options

NEW QUESTION # 216
A media company asked a Solutions Architect to design a highly available storage solution to serve as a centralized document store for their Amazon EC2 instances. The storage solution needs to be POSIX- compliant, scale dynamically, and be able to serve up to 100 concurrent EC2 instances.
Which solution meets these requirements?

A. Create an Amazon Elastic File System (Amazon EFS) to store and share the documents.
B. Create an Amazon S3 bucket and store all of the documents in this bucket.
C. Create an Amazon EBS volume and allow multiple users to mount that volume to their EC2 instance(s).
D. Use Amazon Glacier to store all of the documents.

Answer: A

Explanation:
Explanation/Reference:
Reference https://aws.amazon.com/efs/enterprise-applications/

NEW QUESTION # 217
......

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