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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Planning and configuring a cloud solution	17.5%	- Planning and configuring storage resources 1. Select storage classes 2. Plan data durability and availability - Planning and configuring network resources 1. Design VPC networks 2. Plan hybrid connectivity 3. Choose load balancing options 4. Plan firewall rules - Planning and configuring compute resources 1. Choose storage options 2. Plan data storage solutions 3. Select compute options 4. Plan instance configuration
Deploying and implementing a cloud solution	25%	- Deploying and implementing Google Kubernetes Engine resources 1. Deploy workloads 2. Configure networking for GKE 3. Create and manage clusters - Deploying and implementing Compute Engine resources 1. Configure access and security 2. Create managed instance groups 3. Launch virtual machines 4. Manage images and snapshots - Deploying and implementing serverless resources 1. Create Cloud Functions 2. Deploy Cloud Run services - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases
Ensuring successful operation of a cloud solution	20%	- Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage - Monitoring and logging 1. Use Cloud Monitoring 2. Set up alerts 3. Use Cloud Logging - Managing resources 1. Troubleshoot common issues 2. Update configurations 3. Scale resources
Configuring access and security	17.5%	- Configuring network security 1. Configure private access 2. Manage security controls 3. Secure VPC networks - Managing IAM 1. Define roles and permissions 2. Implement least privilege access 3. Manage service accounts - Managing data security 1. Manage access to data 2. Enable encryption
Setting up a cloud solution environment	20%	- Setting up cloud projects and accounts 1. Apply organizational policies 2. Enable APIs 3. Manage users and groups 4. Manage quotas and limits 5. Manage IAM roles and permissions 6. Create resource hierarchy - Managing billing configuration 1. Set budgets and alerts 2. Link projects to billing accounts 3. Configure billing exports 4. Create and manage billing accounts

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Google Associate Cloud Engineer Exam Sample Questions (Q265-Q270):

NEW QUESTION # 265
You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?

A. 1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.2. Use Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.
B. 1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.3. Configure your servers to use that instance as a proxy to access Cloud Storage.
C. 1. Use nslookup to get the IP address for storage.googleapis.com.2. Negotiate with the security team to be able to give a public IP address to the servers.3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.
D. 1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.
3. Configure your new instances to use this ILB as proxy.

Answer: A

Explanation:
Our requirement is to follow Google recommended practices to achieve the end result. Configuring Private Google Access for On-Premises Hosts is best achieved by VPN/Interconnect + Advertise Routes + Use restricted Google IP Range.
Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP
Using Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.
In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com is the right answer right, and it is what Google recommends.
Ref: https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid You must configure routes so that Google API traffic is forwarded through your Cloud VPN or Cloud Interconnect connection, firewall rules on your on-premises firewall to allow the outgoing traffic, and DNS so that traffic to Google APIs resolves to the IP range youve added to your routes.
You can use Cloud Router Custom Route Advertisement to announce the Restricted Google APIs IP addresses through Cloud Router to your on-premises network. The Restricted Google APIs IP range is
199.36.153.4/30. While this is technically a public IP range, Google does not announce it publicly. This IP range is only accessible to hosts that can reach your Google Cloud projects through internal IP ranges, such as through a Cloud VPN or Cloud Interconnect connection. Without having a public IP address or access to the internet, the only way you could connect to cloud storage is if you have an internal route to it.
So Negotiate with the security team to be able to give public IP addresses to the servers is not right. Following Google recommended practices is synonymous with using Googles services (Not quite, but it is at least for the exam !!).
So In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance is not right.
Migrating the VM to Compute Engine is a bit drastic when Google says it is perfectly fine to have Hybrid Connectivity architectures https://cloud.google.com/hybrid-connectivity.
So,
Use Migrate for Compute Engine (formerly known as Velostrata) to migrate these servers to Compute Engine is not right.

NEW QUESTION # 266
You need to provide a cost estimate for a Kubernetes cluster using the GCP pricing calculator for Kubernetes. Your workload requires high IOPs, and you will also be using disk snapshots. You start by entering the number of nodes, average hours, and average days. What should you do next?

A. Select Add GPUs. Add estimated cost for cluster management.
B. Select Add GPUs. Fill in persistent disk storage and snapshot storage.
C. Fill in local SSD. Fill in persistent disk storage and snapshot storage.
D. Fill in local SSD. Add estimated cost for cluster management.

Answer: B

NEW QUESTION # 267
Your boss has asked you to set up something to perform monitoring and logging. The ideal solution would allow you to monitor your Google Cloud resources as well as a few different EC2 instances running inside AWS. Which option would meet the criteria with the least amount of work?

A. AWS Cloudwatch
B. Datadog
C. Stackdriver
D. Deploy a custom solution based on the ELK stack.

Answer: C

NEW QUESTION # 268
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. - Create an HTTP(S) Load Balancer.
- Create one or more global forwarding rules to direct traffic to your VMs.
B. - Create Compute Engine resources in us-central1-b.
- Balance the load across both us-central1-a and us-central1-b.
C. - Perform regular backups of your application.
- Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
- Restore from backups when notified.
D. - Create a Managed Instance Group and specify us-central1-a as the zone.
- Configure the Health Check with a short Health Interval.

Answer: A

Explanation:
Reference:
https://github.com/GoogleCloudPlatform/puppet-google-compute

NEW QUESTION # 269
You need to produce a list of the enabled Google Cloud Platform APIs for a GCP project using the gcloud command line in the Cloud Shell. The project name is my-project. What should you do?

A. Run gcloud init to set the current project to my-project, and then run gcloud services list --available.
B. Run gcloud projects list to get the project ID, and then run gcloud services list --project <project ID>.
C. Run gcloud projects describe <project ID> to verify the project value, and then run gcloud services list
--available.
D. Run gcloud info to view the account value, and then run gcloud services list --account <Account>.

Answer: B

Explanation:
`gcloud services list --available` returns not only the enabled services in the project but also services that CAN be enabled.
https://cloud.google.com/sdk/gcloud/reference/services/list#--available Run the following command to list the enabled APIs and services in your current project:
gcloud services list
whereas, Run the following command to list the APIs and services available to you in your current project:
gcloud services list -available
https://cloud.google.com/sdk/gcloud/reference/services/list#--available
--available
Return the services available to the project to enable. This list will include any services that the project has already enabled.
To list the services the current project has enabled for consumption, run:
gcloud services list --enabled
To list the services the current project can enable for consumption, run:
gcloud services list -available

NEW QUESTION # 270
......

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