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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Setting up a cloud solution environment20%- Setting up cloud projects and accounts
  • 1. Enable APIs
  • 2. Apply organizational policies
  • 3. Create resource hierarchy
  • 4. Manage IAM roles and permissions
  • 5. Manage users and groups
  • 6. Manage quotas and limits
- Managing billing configuration
  • 1. Configure billing exports
  • 2. Set budgets and alerts
  • 3. Create and manage billing accounts
  • 4. Link projects to billing accounts
Ensuring successful operation of a cloud solution20%- Managing cost and performance
  • 1. Analyze cost reports
  • 2. Optimize resource usage
- 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
Configuring access and security17.5%- Configuring network security
  • 1. Configure private access
  • 2. Secure VPC networks
  • 3. Manage security controls
- Managing IAM
  • 1. Manage service accounts
  • 2. Define roles and permissions
  • 3. Implement least privilege access
- Managing data security
  • 1. Manage access to data
  • 2. Enable encryption
Planning and configuring a cloud solution17.5%- Planning and configuring storage resources
  • 1. Plan data durability and availability
  • 2. Select storage classes
- Planning and configuring network resources
  • 1. Plan hybrid connectivity
  • 2. Design VPC networks
  • 3. Choose load balancing options
  • 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
Deploying and implementing a cloud solution25%- Deploying and implementing Google Kubernetes Engine resources
  • 1. Configure networking for GKE
  • 2. Deploy workloads
  • 3. Create and manage clusters
- Deploying and implementing Compute Engine resources
  • 1. Launch virtual machines
  • 2. Create managed instance groups
  • 3. Manage images and snapshots
  • 4. Configure access and security
- Deploying and implementing data solutions
  • 1. Set up data processing pipelines
  • 2. Provision databases
- Deploying and implementing serverless resources
  • 1. Deploy Cloud Run services
  • 2. Create Cloud Functions

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Google Associate Cloud Engineer Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
Your company uses a large number of Google Cloud services centralized in a single project. All teams have specific projects for testing and development. The DevOps team needs access to all of the production services in order to perform their job. You want to prevent Google Cloud product changes from broadening their permissions in the future. You want to follow Google- recommended practices. What should you do?

Answer: C

Explanation:
Understanding IAM custom roles
Key Point: Custom roles enable you to enforce the principle of least privilege, ensuring that the user and service accounts in your organization have only the permissions essential to performing their intended functions.
Basic concepts
Custom roles are user-defined, and allow you to bundle one or more supported permissions to meet your specific needs. Custom roles are not maintained by Google; when new permissions, features, or services are added to Google Cloud, your custom roles will not be updated automatically.
When you create a custom role, you must choose an organization or project to create it in. You can then grant the custom role on the organization or project, as well as any resources within that organization or project.
https://cloud.google.com/iam/docs/understanding-custom-roles#basic_concepts


NEW QUESTION # 161
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

Answer: B

Explanation:
The pending Pods resource requests are too large to fit on a single node of the cluster. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod. is the right answer.
When you have a deployment with some pods in running and other pods in the pending state, more often than not it is a problem with resources on the nodes. Heres a sample output of this use case. We see that the problem is with insufficient CPU on the Kubernetes nodes so we have to either enable auto-scaling or manually scale up the nodes.


NEW QUESTION # 162
You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/iam#spanner.databaseUser
Using the gcloud tool, execute the gcloud iam roles describe roles/spanner.databaseUser command on Cloud Shell. Attach the users to a newly created Google group and add the group to the role.


NEW QUESTION # 163
You used the gcloud container clusters command to create two Google Cloud Kubernetes (GKE) clusters prod-cluster and dev-cluster.
* prod-cluster is a standard cluster.
* dev-cluster is an auto-pilot duster.
When you run the Kubect1 get nodes command, you only see the nodes from prod-cluster Which commands should you run to check the node status for dev-cluster?

Answer: C


NEW QUESTION # 164
Your auditor wants to view your organization's use of data in Google Cloud. The auditor is most interested in auditing who accessed data in Cloud Storage buckets. You need to help the auditor access the data they need.
What should you do?

Answer: B

Explanation:
Explanation
Types of audit logs Cloud Audit Logs provides the following audit logs for each Cloud project, folder, and organization: Admin Activity audit logs Data Access audit logs System Event audit logs Policy Denied audit logs ***Data Access audit logs contain API calls that read the configuration or metadata of resources, as well as user-driven API calls that create, modify, or read user-provided resource data.
https://cloud.google.com/logging/docs/audit#types
https://cloud.google.com/logging/docs/audit#data-access Cloud Storage: When Cloud Storage usage logs are enabled, Cloud Storage writes usage data to the Cloud Storage bucket, which generates Data Access audit logs for the bucket. The generated Data Access audit log has its caller identity redacted.


NEW QUESTION # 165
......

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