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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate-Cloud-Engineer Exam Questions - 1 year of Free Updates

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Google Associate Cloud Engineer Exam Sample Questions (Q76-Q81):

NEW QUESTION # 76
You are migrating your company's on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several hours but can tolerate interruptions. You must ensure that the deployment is cost- effective.
What should you do?

A. Use Spot VMs on Compute Engine.
B. Containerize the batch processing jobs and deploy them on Compute Engine.
C. Use the M1 machine series on Compute Engine.
D. Use custom machine types on Compute Engine.

Answer: A

Explanation:
Using Spot VMs on Compute Engine is the most cost-effective solution for batch processing jobs that require significant CPU and memory for several hours and can tolerate interruptions. Spot VMs are discounted instances that can be preempted by Google Cloud at any time, making them ideal for workloads that are not time-sensitive and can handle interruptions. This approach minimizes costs while meeting your performance requirements.

NEW QUESTION # 77
You are the Google Cloud systems administrator for your organization. User A reports that they received an error when attempting to access the Cloud SQL database in their Google Cloud project, while User B can access the database. You need to troubleshoot the issue for User A, while following Google-recommended practices.
What should you do first?

A. Confirm that network firewall rules are not blocking traffic for User A.
B. Review the error message that User A received.
C. Review recent configuration changes that may have caused unintended modifications to permissions.
D. Verify that User A has the Identity and Access Management (IAM) Project Owner role assigned.

Answer: B

NEW QUESTION # 78
You need to enable traffic between multiple groups of Compute Engine instances that are currently running two different GCP projects. Each group of Compute Engine instances is running in its own VPC. What should you do?

A. Verify that both projects are in a GCP Organization. Create a new VPC and add all instances.
B. Verify that you are the Project Administrator of both projects. Create a new VPC and add all instances.
C. Verify that you are the Project Administrator of both projects. Create two new VPCs and add all instances.
D. Verify that both projects are in a GCP Organization. Share the VPC from one project and request that the Compute Engine instances in the other project use this shared VPC.

Answer: D

Explanation:
Shared VPC allows an organization to connect resources from multiple projects to a common Virtual Private Cloud (VPC) network, so that they can communicate with each other securely and efficiently using internal IPs from that network. When you use Shared VPC, you designate a project as a host project and attach one or more other service projects to it. The VPC networks in the host project are called Shared VPC networks.
Eligible resources from service projects can use subnets in the Shared VPC network
https://cloud.google.com/vpc/docs/shared-vpc
"For example, an existing instance in a service project cannot be reconfigured to use a Shared VPC network, but a new instance can be created to use available subnets in a Shared VPC network."

NEW QUESTION # 79
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

A. 1. Create a Stackdriver Workspace, and associate your GCP project with it.
2. Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.
3. Create an uptime check for the instance in Stackdriver.
B. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3})%
2. In Stackdriver Monitoring, create an Alerting Policy based on this metric.
3. Configure your email address in the notification channel.
C. 1. Create a consumer Gmail account.
2. Write a script that monitors the CPU usage.
3. When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.comon port 25 as SMTP server.
D. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.
2. Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.
3. Configure your email address in the notification channel.

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION # 80
You need to create a custom VPC with a single subnet. The subnet's range must be as large as possible.
Which range should you use?

A. 0.0.0.0/0
B. 10.0.0.0/8
C. 172.16.0.0/12
D. 192.168.0.0/16

Answer: B

NEW QUESTION # 81
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