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| Section | Weight | Objectives |
|---|
| Topic 1: Setting Up a Cloud Solution Environment | 20-25% | - Setting up cloud projects and accounts
- 1. Assigning IAM roles to users and groups
- 2. Creating and managing projects
- 3. Managing billing budgets and alerts
- Managing billing configuration
- 1. Setting up budget alerts and notifications
- 2. Linking billing to projects
- 3. Creating billing accounts
|
| Topic 2: Configuring Access and Security | 15-20% | - Managing IAM resources
- 1. Creating and managing IAM roles
- 2. Defining custom IAM roles
- 3. Applying IAM policies to resources
- Managing service accounts
- 1. Using service account keys
- 2. Assigning service accounts to resources
- 3. Creating and managing service accounts
- Viewing audit logs
- 1. Configuring audit log policies
- 2. Accessing and analyzing Cloud Audit Logs
|
| Topic 3: Planning and Configuring a Cloud Solution | 20-25% | - Planning and configuring compute resources
- 1. Selecting appropriate machine types and zones
- 2. Configuring persistent disks and local SSDs
- Planning and configuring data storage options
- 1. Selecting appropriate storage classes
- 2. Choosing between Cloud Storage, Filestore, Persistent Disk
- Planning and configuring network resources
- 1. Designing VPC networks
- 2. Configuring load balancing and firewall rules
- Planning and estimating GCP product usage
- 1. Using GCP Pricing Calculator
- 2. Reading documentation for compute, storage, and network resources
|
| Topic 4: Deploying and Implementing a Cloud Solution | 20-25% | - Deploying and managing Cloud Run resources
- 1. Configuring memory limits and scaling settings
- 2. Deploying containerized applications to Cloud Run
- Deploying and managing Compute Engine resources
- 1. Creating and managing custom machine types
- 2. Creating and managing managed instance groups
- 3. Creating and managing instances with startup scripts
- Deploying applications with Cloud Deployment Manager
- 1. Using templates for resource provisioning
- 2. Creating deployment configurations
- Deploying and managing Kubernetes Engine resources
- 1. Configuring kubectl for cluster access
- 2. Creating and managing GKE clusters
- 3. Deploying workloads with Deployments and Services
- Deploying and managing Cloud Functions
- 1. Creating and triggering Cloud Functions
- 2. Configuring triggers and environment variables
|
| Topic 5: Ensuring Successful Operation | 15-20% | - Managing Compute Engine resources
- 1. Managing instances, disks, and snapshots
- 2. Attaching and detaching disks
- 3. Resizing instances and persistent disks
- Managing Cloud Run resources
- 1. Configuring resource limits
- 2. Managing revisions and traffic splitting
- Managing Kubernetes Engine resources
- 1. Upgrading clusters
- 2. Scaling clusters and node pools
- 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 logging and monitoring
- 1. Using Cloud Monitoring and Logging
- 2. Creating metrics and alerts
- 3. Viewing and analyzing logs
|
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Google Associate Cloud Engineer Exam Sample Questions (Q376-Q381):
NEW QUESTION # 376
You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to experiment with different Google Cloud solutions.
You want to be notified if any of the developers are spending above $500 per month on their sandbox environment. What should you do?
- A. Create a separate billing account per sandbox project and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per billing account.
- B. Create a single billing account for all sandbox projects and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per project.
- C. Create a single budget for all projects and configure budget alerts on this budget.
- D. Create a budget per project and configure budget alerts on all of these budgets.
Answer: D
Explanation:
Set budgets and budget alerts Overview Avoid surprises on your bill by creating Cloud Billing budgets to monitor all of your Google Cloud charges in one place. A budget enables you to track your actual Google Cloud spend against your planned spend. After you've set a budget amount, you set budget alert threshold rules that are used to trigger email notifications. Budget alert emails help you stay informed about how your spend is tracking against your budget. 2. Set budget scope Set the budget Scope and then click Next. In theProjects field, select one or more projects that you want to apply the budget alert to. To apply the budget alert to all the projects in the Cloud Billing account, choose Select all.https://cloud.google.com/billing/docs/how-to/budgets#budget-scop
NEW QUESTION # 377
Which of the following is a valid use case for using a primitive role?
- A. When granting permission to a development project or to the development team.
- B. When creating a custom role requires more than 10 permissions.
- C. When granting permission to a production project, or to a third-party company.
- D. When there are more than 10 users.
Answer: A
NEW QUESTION # 378
You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset. What should you do?
- A. In Cloud IAM of your project, ensure that the default App Engine service account has the role of BigQuery Data Viewer.
- B. In Cloud IAM of your project, grant a newly created service account from the other team the role of BigQuery Job User in your project.
- C. Ask the other team to grant your default App Engine Service account the role of BigQuery Data Viewer.
- D. Ask the other team to grant your default App Engine Service account the role of BigQuery Job User.
Answer: C
Explanation:
The resource that you need to get access is in the other project.
roles/bigquery.dataViewer BigQuery Data Viewer
When applied to a table or view, this role provides permissions to:
Read data and metadata from the table or view.
This role cannot be applied to individual models or routines.
When applied to a dataset, this role provides permissions to:
Read the dataset's metadata and list tables in the dataset.
Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
NEW QUESTION # 379
You have a Linux VM that must connect to Cloud SQL. You created a service account with the appropriate access rights. You want to make sure that the VM uses this service account instead of the default Compute Engine service account. What should you do?
- A. Download a JSON Private Key for the service account.
On the Project Metadata, add that JSON as the value for the key compute-engine-service- account. - B. Download a JSON Private Key for the service account.
After creating the VM, ssh into the VM and save the JSON under ~/.gcloud/compute-engine- service-account.json. - C. When creating the VM via the web console, specify the service account under the `Identity and API Access' section.
- D. Download a JSON Private Key for the service account.
On the Custom Metadata of the VM, add that JSON as the value for the key compute-engine- service-account.
Answer: C
Explanation:
Changing the service account and access scopes for an instance
If you want to run the VM as a different identity, or you determine that the instance needs a different set of scopes to call the required APIs, you can change the service account and the access scopes of an existing instance. For example, you can change access scopes to grant access to a new API, or change an instance so that it runs as a service account that you created, instead of the Compute Engine default service account. However, Google recommends that you use the fine-grained IAM policies instead of relying on access scopes to control resource access for the service account.
To change an instance's service account and access scopes, the instance must be temporarily stopped. To stop your instance, read the documentation for Stopping an instance. After changing the service account or access scopes, remember to restart the instance. Use one of the following methods to the change service account or access scopes of the stopped instance.
https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances
NEW QUESTION # 380
Your company has a 3-tier solution running on Compute Engine. The configuration of the current infrastructure is shown below.

Each tier has a service account that is associated with all instances within it. You need to enable communication on TCP port 8080 between tiers as follows:
* Instances in tier #1 must communicate with tier #2.
* Instances in tier #2 must communicate with tier #3.
What should you do?
- A. 1. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.1.0/24)* Protocols: allow all
- B. 1. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #2 service account* Source filter: all instances with tier #1 service account* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #3 service account* Source filter: all instances with tier #2 service account* Protocols: allow all
- C. 1. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow TCP: 80802. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.1.0/24)* Protocols: allow TCP: 8080
- D. 1. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #2 service account* Source filter: all instances with tier #1 service account* Protocols: allow TCP:80802. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #3 service account* Source filter: all instances with tier #2 service account* Protocols: allow TCP: 8080
Answer: D
NEW QUESTION # 381
......
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