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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q230-Q235):

NEW QUESTION # 230
You are migrating a production-critical on-premises application that requires 96 vCPUs to perform its task. You want to make sure the application runs in a similar environment on GCP. What should you do?

A. When creating the VM, use machine type n1-standard-96.
B. Create the VM using Compute Engine default settings. Use gcloud to modify the running instance to have 96 vCPUs.
C. When creating the VM, use Intel Skylake as the CPU platform.
D. Start the VM using Compute Engine default settings, and adjust as you go based on Rightsizing Recommendations.

Answer: A

Explanation:
https://cloud.google.com/compute/docs/machine-types

NEW QUESTION # 231
You want to configure 10 Compute Engine instances for availability when maintenance occurs. Your requirements state that these instances should attempt to automatically restart if they crash. Also, the instances should be highly available including during system maintenance. What should you do?

A. Create an instance group for the instances. Set the 'Autohealing' health check to healthy (HTTP).
B. Create an instance template for the instances. Set 'Automatic Restart' to off. Set 'On-host maintenance' to Terminate VM instances. Add the instance template to an instance group.
C. Create an instance template for the instances. Set the 'Automatic Restart' to on. Set the 'On-host maintenance' to Migrate VM instance. Add the instance template to an intsance group.
D. Create an instance group for the instance. Verify that the 'Advanced creation options' setting for 'do not retry machine creation' is set to off.

Answer: B

NEW QUESTION # 232
You are planning to migrate your containerized workloads to Google Kubernetes Engine (GKE).
You need to determine which GKE option to use. Your solution must have high availability, minimal downtime, and the ability to promptly apply security updates to your nodes. You also want to pay only for the compute resources that your workloads use without managing nodes.
You want to follow Google-recommended practices and minimize operational costs. What should you do?

A. Configure a Standard regional GKE cluster.
B. Configure a Standard zonal GKE cluster.
C. Configure a Standard multi-zonal GKE cluster.
D. Configure an Autopilot GKE cluster.

Answer: D

Explanation:
With Autopilot, Google Cloud manages the underlying node infrastructure, including patching, scaling, and maintenance. This means you don't need to manage nodes manually, which reduces operational overhead and ensures that security updates are promptly applied. Additionally, Autopilot follows a pay-per-pod model, so you pay only for the compute resources your workloads use. It is designed to be highly available and to minimize downtime.

NEW QUESTION # 233
Which of the following is a valid use case for using a primitive role?

A. When creating a custom role requires more than 10 permissions.
B. When there are more than 10 users.
C. When granting permission to a development project or to the development team.
D. When granting permission to a production project, or to a third-party company.

Answer: C

NEW QUESTION # 234
Your company runs one batch process in an on-premises server that takes around 30 hours to complete. The task runs monthly, can be performed offline, and must be restarted if interrupted.
You want to migrate this workload to the cloud while minimizing cost. What should you do?

A. Migrate the workload to a Google Kubernetes Engine cluster with Preemptible nodes.
B. Create an Instance Template with Preemptible VMs On.
Create a Managed Instance Group from the template and adjust Target CPU Utilization.
Migrate the workload.
C. Migrate the workload to a Compute Engine VM.
Start and stop the instance as needed.
D. Migrate the workload to a Compute Engine Preemptible VM.

Answer: C

Explanation:
Install the workload in a compute engine VM, start and stop the instance as needed, because as per the question the VM runs for 30 hours, process can be performed offline and should not be interrupted, if interrupted we need to restart the batch process again. Preemptible VMs are cheaper, but they will not be available beyond 24hrs, and if the process gets interrupted the preemptible VM will restart.

NEW QUESTION # 235
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