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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q132-Q137):

NEW QUESTION # 132
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 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.
C. 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.
D. 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.

Answer: B

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 # 133
You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

A. - Perform regular backups of your application.
-Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
-Restore from backups when notified.
B. - Create a Managed Instance Group and specify us-central1-a as the zone.
-Configure the Health Check with a short Health Interval.
C. - Create Compute Engine resources in us-central1-b.
-Balance the load across both us-central1-a and us-central1-b.
D. - Create an HTTP(S) Load Balancer.
-Create one or more global forwarding rules to direct traffic to your VMs.

Answer: C

Explanation:
Choosing a region and zone You choose which region or zone hosts your resources, which controls where your data is stored and used. Choosing a region and zone is important for several reasons:
Handling failures
Distribute your resources across multiple zones and regions to tolerate outages. Google designs zones to be independent from each other: a zone usually has power, cooling, networking, and control planes that are isolated from other zones, and most single failure events will affect only a single zone. Thus, if a zone becomes unavailable, you can transfer traffic to another zone in the same region to keep your services running. Similarly, if a region experiences any disturbances, you should have backup services running in a different region. For more information about distributing your resources and designing a robust system, see Designing Robust Systems. Decreased network latency To decrease network latency, you might want to choose a region or zone that is close to your point of service. https://cloud.google.com/compute/docs/regions- zones#choosing_a_region_and_zone

NEW QUESTION # 134
You want to deploy a new containerized application into Google Cloud by using a Kubernetes manifest. You want to have full control over the Kubernetes deployment, and at the same time, you want to minimize configuring infrastructure. What should you do?

A. Deploy the application on Cloud Run.
B. Deploy the application on GKE Autopilot.
C. Deploy the application on GKE Standard.
D. Deploy the application on Cloud Functions.

Answer: B

Explanation:
Despite the managed nature of the infrastructure of a GKE Autopilot Cluster, you still have full control over your Kubernetes workloads, configurations, and deployments. This allows you to use Kubernetes manifests and customize your deployment as needed.

NEW QUESTION # 135
You need to create a new billing account and then link it with an existing Google Cloud Platform project.
What should you do?

A. Verify that you are Project Billing Manager for the GCP project. Create a new billing account and link the new billing account to the existing project.
B. Verify that you are Project Billing Manager for the GCP project. Update the existing project to link it to the existing billing account.
C. Verify that you are Billing Administrator for the billing account. Create a new project and link the new project to the existing billing account.
D. Verify that you are Billing Administrator for the billing account. Update the existing project to link it to the existing billing account.

Answer: A

Explanation:
Billing Administrators can not create a new billing account, and the project is presumably already created.
Project Billing Manager allows you to link the created billing account to the project. It is vague on how the billing account gets created but by process of elimination

NEW QUESTION # 136
Your organization has decided to deploy all its compute workloads to Kubernetes on Google Cloud and two other cloud providers. You want to build an infrastructure-as-code solution to automate the provisioning process for all cloud resources. What should you do?

A. Build the solution by using Terraform, and provision the resources.
B. Build the solution by using Config Connector, and provision the resources.
C. Build the solution by using Python and the cloud SDKs from all providers to provision the resources.
D. Build the solution by using YAML manifests, and provision the resources.

Answer: A

Explanation:
Building the solution using Terraform is the most suitable option for automating the provisioning of resources across multiple cloud providers. Terraform is a widely used Infrastructure-as-Code tool that supports multiple cloud providers, including Google Cloud, and offers a unified and declarative way to manage cloud infrastructure. It allows for easy integration with other cloud environments and provides a consistent workflow for managing infrastructure.

NEW QUESTION # 137
......

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