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

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Google Associate Cloud Engineer Exam Sample Questions (Q377-Q382):

NEW QUESTION # 377
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
- Schedule frequency: Daily
- Start time: 1:00 AM ?2:00 AM
- Autodelete snapshots after 30 days
B. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2. Create a Cloud Function that deletes snapshots that are older than 30 days.
3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
C. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30
D. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3. Configure the instance's crontab to execute these scripts daily at 1:00 AM.

Answer: A

NEW QUESTION # 378
Your company is active in the European Economic Area (EEA), and will adopt Google Cloud for its workloads. Projects are currently structured within different folders. You need to ensure any resources that will be deployed are using Google Cloud locations within the EEA by using the Organization Policy Service resource locations constraint. What should you do?

A. Configure the policy at the organization level and add all disallowed locations to the policy.
B. Configure the policy at the folder level and add all disallowed locations to the policy.
C. Configure the policy at the folder level and add all allowed locations to the policy.
D. Configure the policy at the organization level and add all allowed locations to the policy.

Answer: D

Explanation:
To enforce a mandatory restriction across all resources deployed in the organization and its nested folders
/projects, the policy should be set at the highest possible level, which is the Organization level.
The constraint constraints/gcp.resourceLocations (or similar resource location constraints) works by defining a list of allowed regions or zones. The most secure and explicit way to enforce that resources must be deployed in the EEA is to define the allowed EEA locations and apply the policy at the Organization level to ensure it covers all current and future projects and folders.
Reference: Google Cloud Organization Policy Service documentation, specifically the gcp.resourceLocations constraint. "You can set Organization Policies at the organization, folder, or project level. By setting the policy at the organization level, you ensure all future projects and resources adhere to the location constraint." The policy's behavior is to restrict deployment to the locations explicitly listed as allowed.

NEW QUESTION # 379
A retail company has sensors placed in its physical retail stores. The sensors send messages over HTTP when customers interact with in-store product displays. A Solutions Architect needs to implement a system for processing those sensor messages; the results must be available for the Data Analysis team.
Which architecture should be used to meet these requirements?

A. Use AWS Direct Connect to connect sensors to DynamoDB so that data can be written directly to a DynamoDB table where it can be accessed by the Data Analysis team.
B. Implement an Amazon API Gateway to server as the HTTP endpoint. Have the API Gateway trigger an AWS Lambda function to process the messages, and save the results to an Amazon DynamoDB table.
C. Use Amazon Route 53 to direct incoming sensor messages to a Lambda function to process the message and save the results to a Amazon DynamoDB table.
D. Create an Amazon EC2 instance to server as the HTTP endpoint and to process the messages. Save the results to Amazon S3 for the Data Analysis team to download.

Answer: B

NEW QUESTION # 380
You are running an application on multiple virtual machines within a managed instance group and have autoscaling enabled. The autoscaling policy is configured so that additional instances are added to the group if the CPU utilization of instances goes above 80%. VMs are added until the instance group reaches its maximum limit of five VMs or until CPU utilization of instances lowers to 80%. The initial delay for HTTP health checks against the instances is set to 30 seconds. The virtual machine instances take around three minutes to become available for users. You observe that when the instance group autoscales, it adds more instances then necessary to support the levels of end-user traffic. You want to properly maintain instance group sizes when autoscaling. What should you do?

A. Use a TCP health check instead of an HTTP health check.
B. Increase the initial delay of the HTTP health check to 200 seconds.
C. Set the maximum number of instances to 1.
D. Decrease the maximum number of instances to 3.

Answer: B

Explanation:
The reason is that when you do health check, you want the VM to be working. Do the first check after initial setup time of 3 mins = 180 s < 200 s is reasonable.
The reason why our autoscaling is adding more instances than needed is that it checks 30 seconds after launching the instance and at this point, the instance isnt up and isnt ready to serve traffic. So our autoscaling policy starts another instance again checks this after 30 seconds and the cycle repeats until it gets to the maximum instances or the instances launched earlier are healthy and start processing traffic which happens after 180 seconds (3 minutes). This can be easily rectified by adjusting the initial delay to be higher than the time it takes for the instance to become available for processing traffic.So setting this to 200 ensures that it waits until the instance is up (around 180-second mark) and then starts forwarding traffic to this instance.
Even after a cool out period, if the CPU utilization is still high, the autoscaler can again scale up but this scale- up is genuine and is based on the actual load.
Initial Delay Seconds This setting delays autohealing from potentially prematurely recreating the instance if the instance is in the process of starting up. The initial delay timer starts when the currentAction of the instance is VERIFYING.
Ref: https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs

NEW QUESTION # 381
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. 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.
B. After the VM has been created, use your Google Account credentials to log in into the VM.
C. After the VM has been created, use gcloud compute reset-windows-password to retrieve the login credentials for the VM.
D. When creating the VM, add metadata to the instance using 'windows-password' as the key and a password as the value.

Answer: C

Explanation:
Explanation
You can generate Windows passwords using either the Google Cloud Console or the gcloud command-line tool. This option uses the right syntax to reset the windows password.
gcloud compute reset-windows-password windows-instance
Ref: https://cloud.google.com/compute/docs/instances/windows/creating-passwords-for-windows-instances#gclo

NEW QUESTION # 382
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