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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuring Access and Security	15-20%	- Managing IAM resources 1. Applying IAM policies to resources 2. Creating and managing IAM roles 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. Using service account keys 3. Assigning service accounts to resources
Topic 2: Deploying and Implementing a Cloud Solution	20-25%	- 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 instances with startup scripts 2. Creating and managing custom machine types 3. Creating and managing managed instance groups - Deploying and managing Cloud Functions 1. Creating and triggering Cloud Functions 2. Configuring triggers and environment variables - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - 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
Topic 3: Setting Up a Cloud Solution Environment	20-25%	- Setting up cloud projects and accounts 1. Managing billing budgets and alerts 2. Creating and managing projects 3. Assigning IAM roles to users and groups - Managing billing configuration 1. Setting up budget alerts and notifications 2. Linking billing to projects 3. Creating billing accounts
Topic 4: Planning and Configuring a Cloud Solution	20-25%	- Planning and configuring network resources 1. Configuring load balancing and firewall rules 2. Designing VPC networks - Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones - Planning and configuring data storage options 1. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes - Planning and estimating GCP product usage 1. Using GCP Pricing Calculator 2. Reading documentation for compute, storage, and network resources
Topic 5: Ensuring Successful Operation	15-20%	- Managing logging and monitoring 1. Using Cloud Monitoring and Logging 2. Viewing and analyzing logs 3. Creating metrics and alerts - Managing Cloud Run resources 1. Managing revisions and traffic splitting 2. Configuring resource limits - Managing Kubernetes Engine resources 1. Upgrading clusters 2. Scaling clusters and node pools 3. Managing workloads (Deployments, Services, HPA) - Managing storage and data solutions 1. Managing Cloud Storage buckets and objects 2. Setting lifecycle policies 3. Configuring CORS and encryption - Managing Compute Engine resources 1. Attaching and detaching disks 2. Resizing instances and persistent disks 3. Managing instances, disks, and snapshots

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Google Associate Cloud Engineer Exam Sample Questions (Q118-Q123):

NEW QUESTION # 118
You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to experiment with different Google Cloud solutions. You want to be notified if any of the developers are spending above $500 per month on their sandbox environment. What should you do?

A. Create a budget per project and configure budget alerts on all of these budgets.
B. Create a separate billing account per sandbox project and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per billing account.
C. Create a single billing account for all sandbox projects and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per project.
D. Create a single budget for all projects and configure budget alerts on this budget.

Answer: A

Explanation:
Reference:
https://cloud.google.com/billing/docs/how-to/budgets

NEW QUESTION # 119
Your company runs its Linux workloads on Compute Engine instances. Your company will be working with a new operations partner that does not use Google Accounts. You need to grant access to the instances to your operations partner so they can maintain the installed tooling. What should you do?

A. Ask the operations partner to generate SSH key pairs, and add the public keys to the VM instances.
B. Enable Cloud IAP for the Compute Engine instances, and add the operations partner as a Cloud IAP Tunnel User.
C. Tag all the instances with the same network tag. Create a firewall rule in the VPC to grant TCP access on port 22 for traffic from the operations partner to instances with the network tag.
D. Set up Cloud VPN between your Google Cloud VPC and the internal network of the operations partner.

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/vpc/docs/firewalls

NEW QUESTION # 120
You are configuring Cloud DNS. You want !to create DNS records to point home.mydomain.com, mydomain.
com. and www.mydomain.com to the IP address of your Google Cloud load balancer. What should you do?

A. Create one A record to point mydomain.com to the load balancer, and create two CNAME records to point WWW and HOME to mydomain.com respectively.
B. Create one CNAME record to point mydomain.com to the load balancer, and create two A records to point WWW and HOME lo mydomain.com respectively.
C. Create one A record to point mydomain.com lo the load balancer, and create two NS records to point WWW and HOME to mydomain.com respectively.
D. Create one CNAME record to point mydomain.com to the load balancer, and create two AAAA records to point WWW and HOME to mydomain.com respectively.

Answer: A

NEW QUESTION # 121
You have a virtual machine that is currently configured with 2 vCPUs and 4 GB of memory. It is running out of memory. You want to upgrade the virtual machine to have 8 GB of memory. What should you do?

A. Use gcloud to add metadata to the VM. Set the key to required-memory-size and the value to 8 GB.
B. Stop the VM, increase the memory to 8 GB, and start the VM.
C. Rely on live migration to move the workload to a machine with more memory.
D. Stop the VM, change the machine type to n1-standard-8, and start the VM.

Answer: B

Explanation:
Explanation
In Google compute engine, if predefined machine types don't meet your needs, you can create an instance with custom virtualized hardware settings. Specifically, you can create an instance with a custom number of vCPUs and custom memory, effectively using a custom machine type. Custom machine types are ideal for the following scenarios: 1. Workloads that aren't a good fit for the predefined machine types that are available to you. 2. Workloads that require more processing power or more memory but don't need all of the upgrades that are provided by the next machine type level.In our scenario, we only need a memory upgrade. Moving to a bigger instance would also bump up the CPU which we don't need so we have to use a custom machine type.
It is not possible to change memory while the instance is running so you need to first stop the instance, change the memory and then start it again. See below a screenshot that shows how CPU/Memory can be customized for an instance that has been stopped.Ref: https://cloud.google.com/compute/docs/instances/creating-instance-with-custom-machine-type

NEW QUESTION # 122
Your development team needs a new Jenkins server for their project. You need to deploy the server using the fewest steps possible. What should you do?

A. Create a new Compute Engine instance and install Jenkins through the command line interface.
B. Download and deploy the Jenkins Java WAR to App Engine Standard.
C. Use GCP Marketplace to launch the Jenkins solution.
D. Create a Kubernetes cluster on Compute Engine and create a deployment with the Jenkins Docker image.

Answer: C

Explanation:
https://cloud.google.com/solutions/using-jenkins-for-distributed-builds-on-compute-engine

NEW QUESTION # 123
......

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