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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring Access and Security	15-20%	- Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing service accounts 1. Using service account keys 2. Creating and managing service accounts 3. Assigning service accounts to resources - Managing IAM resources 1. Applying IAM policies to resources 2. Creating and managing IAM roles 3. Defining custom IAM roles
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. Linking billing to projects 2. Setting up budget alerts and notifications 3. Creating billing accounts
Planning and Configuring a Cloud Solution	20-25%	- Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring compute resources 1. Selecting appropriate machine types and zones 2. Configuring persistent disks and local SSDs - Planning and configuring network resources 1. Configuring load balancing and firewall rules 2. Designing VPC networks - Planning and configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk
Ensuring Successful Operation	15-20%	- Managing Compute Engine resources 1. Attaching and detaching disks 2. Managing instances, disks, and snapshots 3. Resizing instances and persistent disks - Managing logging and monitoring 1. Using Cloud Monitoring and Logging 2. Viewing and analyzing logs 3. Creating metrics and alerts - 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. Managing Cloud Storage buckets and objects 3. Configuring CORS and encryption - Managing Cloud Run resources 1. Managing revisions and traffic splitting 2. Configuring resource limits
Deploying and Implementing a Cloud Solution	20-25%	- Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations - Deploying and managing Compute Engine resources 1. Creating and managing managed instance groups 2. Creating and managing instances with startup scripts 3. Creating and managing custom machine types - Deploying and managing Cloud Functions 1. Creating and triggering Cloud Functions 2. Configuring triggers and environment variables - 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 and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run

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Google Associate Cloud Engineer Exam Sample Questions (Q365-Q370):

NEW QUESTION # 365
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs.
What should you do?

A. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
B. Select Compute Engine. Use VM instance types that support micro bursting.
C. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
D. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.

Answer: C

NEW QUESTION # 366
You are designing an application that lets users upload and share photos. You expect your application to grow really fast and you are targeting a worldwide audience. You want to delete uploaded photos after 30 days.
You want to minimize costs while ensuring your application is highly available. Which GCP storage solution should you choose?

A. Cloud Filestore.
B. Persistent SSD on VM instances.
C. Cloud Datastore database.
D. Multiregional Cloud Storage bucket.

Answer: D

Explanation:
Cloud Storage allows world-wide storage and retrieval of any amount of data at any time. We dont need to set up auto-scaling ourselves. Cloud Storage autoscaling is managed by GCP. Cloud Storage is an object store so it is suitable for storing photos. Cloud Storage allows world-wide storage and retrieval so cater well to our worldwide audience. Cloud storage provides us lifecycle rules that can be configured to automatically delete objects older than 30 days. This also fits our requirements. Finally, Google Cloud Storage offers several storage classes such as Nearline Storage ($0.01 per GB per Month) Coldline Storage ($0.007 per GB per Month) and Archive Storage ($0.004 per GB per month) which are significantly cheaper than any of the options above.
Ref: https://cloud.google.com/storage/docs
Ref: https://cloud.google.com/storage/pricing

NEW QUESTION # 367
You created a Kubernetes deployment by running kubectl run nginx image=nginx labels=app=prod. Your Kubernetes cluster is also used by a number of other deployments. How can you find the identifier of the pods for this nginx deployment?

A. kubectl get pods -I "app=prod"
B. kubectl get deployments -output=pods
C. gcloud get pods -selector="app=prod"
D. gcloud list gke-deployments -filter={pod }

Answer: A

Explanation:
This command correctly lists pods that have the label app=prod. When creating the deployment, we used the label app=prod so listing pods that have this label retrieve the pods belonging to nginx deployments. You can list pods by using Kubernetes CLI kubectl get pods.
Ref: https://kubernetes.io/docs/tasks/access-application-cluster/list-all-running-container-images/ Ref: https://kubernetes.io/docs/tasks/access-application-cluster/list-all-running-container-images/#list-containers-filtering-by-pod-label

NEW QUESTION # 368
You are setting up a Windows VM on Compute Engine and want to make sure you can log in to the VM via RDP. What should you do?

A. When creating the VM, add metadata to the instance using `windows-password' as the key and a password as the value.
B. After the VM has been created, use gcloud compute reset-windows-password to retrieve the login credentials for the VM.
C. After the VM has been created, download the JSON private key for the default Compute Engine service account. Use the credentials in the JSON file to log in to the VM.
D. After the VM has been created, use your Google Account credentials to log in into the VM.

Answer: B

Explanation:
If the Windows account does not exist, this command will cause the account to be created and the password for that new account will be returned.
https://cloud.google.com/sdk/gcloud/reference/beta/compute/reset-windows-password

NEW QUESTION # 369
You have one GCP account running in your default region and zone and another account running in a non-default region and zone. You want to start a new Compute Engine instance in these two Google Cloud Platform accounts using the command line interface. What should you do?

A. Activate two configurations using gcloud configurations activate [NAME]. Run gcloud configurations list to start the Compute Engine instances.
B. Create two configurations using gcloud config configurations create [NAME]. Run gcloud config configurations activate [NAME] to switch between accounts when running the commands to start the Compute Engine instances.
C. Activate two configurations using gcloud configurations activate [NAME]. Run gcloud config list to start the Compute Engine instances.
D. Create two configurations using gcloud config configurations create [NAME]. Run gcloud configurations list to start the Compute Engine instances.

Answer: C

NEW QUESTION # 370
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