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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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

NEW QUESTION # 212
You have 32 GB of data in a single file that you need to upload to a Nearline Storage bucket. The WAN connection you are using is rated at 1 Gbps, and you are the only one on the connection. You want to use as match of the rated 1 Gbps as possible to transfer the file rapidly. How should you upload the file?

A. Change the storage class of the bucket from Nearline to Multi-Regional.
B. Decrease the TCP window size on the machine initiating the transfer.
C. Enable parallel composite uploads using gsutil on the file transfer.
D. Use the GCP Console to transfer the file instead of gsutil.

Answer: C

NEW QUESTION # 213
You have developed a containerized web application that will serve Internal colleagues during business hours. You want to ensure that no costs are incurred outside of the hours the application is used. You have just created a new Google Cloud project and want to deploy the application. What should you do?

A. Deploy the container on Cloud Run (fully managed), and set the minimum number of instances to zero.
B. Deploy the container on App Engine flexible environment with autoscaling. and set the value min_instances to zero in the app yaml
C. Deploy the container on Cloud Run for Anthos, and set the minimum number of instances to zero
D. Deploy the container on App Engine flexible environment with manual scaling, and set the value instances to zero in the app yaml

Answer: A

Explanation:
https://cloud.google.com/kuberun/docs/architecture-overview#components_in_the_default_installation

NEW QUESTION # 214
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 Compute Engine resources in us-central1-b.
- Balance the load across both us-central1-a and us-central1-b.
C. - Create an HTTP(S) Load Balancer.
- Create one or more global forwarding rules to direct traffic to your VMs.
D. - Create a Managed Instance Group and specify us-central1-a as the zone.
- Configure the Health Check with a short Health Interval.

Answer: B

NEW QUESTION # 215
Your company's developers use an automation that you recently built to provision Linux VMs in Compute Engine within a Google Cloud project to perform various tasks. You need to manage the Linux account lifecycle and access for these users. You want to follow Google-recommended practices to simplify access management while minimizing operational costs. What should you do?

A. Require your developers to create public SSH keys. Make the owner of the public key the root user.
B. Require your developers to create public SSH keys. Write custom startup scripts to update user permissions.
C. Enable OS Login for all VMs. Use IAM roles to grant user permissions.
D. Enable OS Login for all VMs. Write custom startup scripts to update user permissions.

Answer: C

Explanation:
Enabling OS Login for all VMs and using IAM roles to grant user permissions is the best solution.
OS Login integrates with Google Cloud IAM to manage access to Compute Engine instances, providing centralized, role-based access control for Linux accounts. This approach follows Google-recommended practices for simplifying user access management while minimizing operational overhead.

NEW QUESTION # 216
You have designed a solution on Google Cloud Platform (GCP) that uses multiple GCP products.
Your company has asked you to estimate the costs of the solution.
You need to provide estimates for the monthly total cost. What should you do?

A. For each GCP product in the solution, review the pricing details on the products pricing page.
Use the pricing calculator to total the monthly costs for each GCP product.
B. Provision the solution on GCP. Leave the solution provisioned for 1 week.
Navigate to the Billing Report page in the Google Cloud Platform Console.
Multiply the 1 week cost to determine the monthly costs.
C. Provision the solution on GCP. Leave the solution provisioned for 1 week.
Use Stackdriver to determine the provisioned and used resource amounts.
Multiply the 1 week cost to determine the monthly costs.
D. For each GCP product in the solution, review the pricing details on the products pricing page.
Create a Google Sheet that summarizes the expected monthly costs for each product.

Answer: A

NEW QUESTION # 217
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