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Planning & Configuring Cloud Solutions
- Plan and configure compute resources with specific skills in choosing the relevant compute choices for a specific workload as well as utilizing preemptible virtual machines and custom machine types as relevant;
- Plan and estimate the GCP product use with Pricing Calculator;
- Plan and configure network resources, which include distinguishing load balancing alternatives, configuring the Cloud DNS, establishing resource locations within a network for its availability.
- Plan and configure data storage options with a focus on product choice and selecting storage options;
Configuring Security & Access
- Manage IAM: this domain involves your ability to view IAM role allocations; assign IAM roles to Google Groups or accounts; define custom IAM duties;
- Manage Service Account: the candidates should know how to manage service accounts with restricted privileges; grant access to service accounts within another project; assign service accounts to virtual machine instances;
- View audit logs or managed services and projects.
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Google Associate Cloud Engineer Exam Sample Questions (Q45-Q50):
NEW QUESTION # 45
You need to set up permissions for a set of Compute Engine instances to enable them to write data into a particular Cloud Storage bucket. You want to follow Google-recommended practices. What should you do?
- A. Create a service account and add it to the IAM role ‘storage.objectCreator’ for that bucket.
- B. Create a service account and add it to the IAM role ‘storage.objectAdmin’ for that bucket.
- C. Create a service account with an access scope. Use the access scope ‘https://www.googleapis.com/auth/cloud-platform’.
- D. Create a service account with an access scope. Use the access scope ‘https://www.googleapis.com/auth/devstorage.write_only’.
Answer: C
Explanation:
Reference:
https://towardsdatascience.com/enlightened-datalab-notebooks-35ce8ef374c0
NEW QUESTION # 46
Your company is moving from an on-premises environment to Google Cloud Platform (GCP). You have multiple development teams that use Cassandra environments as backend databases. They all need a development environment that is isolated from other Cassandra instances. You want to move to GCP quickly and with minimal support effort. What should you do?
- A. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.
2. Use the snapshot to create instances for your developers. - B. 1. Build an instruction guide to install Cassandra on GCP.
2. Make the instruction guide accessible to your developers. - C. 1. Advise your developers to go to Cloud Marketplace.
2. Ask the developers to launch a Cassandra image for their development work. - D. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.
2. Upload the snapshot to Cloud Storage and make it accessible to your developers.
3. Build instructions to create a Compute Engine instance from the snapshot so that developers can do it themselves.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION # 47
You have been asked to migrate a docker application from datacenter to cloud. Your solution architect has suggested uploading docker images to GCR in one project and running an application in a GKE cluster in a separate project. You want to store images in the project img-278322 and run the application in the project prod-278986. You want to tag the image as acme_track_n_trace:v1. You want to follow Google-recommended practices. What should you do?
- A. Run gcloud builds submit –tag gcr.io/img-278322/acme_track_n_trace
- B. Run gcloud builds submit –tag gcr.io/prod-278986/acme_track_n_trace
- C. Run gcloud builds submit –tag gcr.io/img-278322/acme_track_n_trace:v1
- D. Run gcloud builds submit –tag gcr.io/prod-278986/acme_track_n_trace:v1
Answer: C
Explanation:
Explanation
Run gcloud builds submit tag gcr.io/img-278322/acme_track_n_trace:v1. is the right answer.
This command correctly tags the image as acme_track_n_trace:v1 and uploads the image to the img-278322 project.
Ref: https://cloud.google.com/sdk/gcloud/reference/builds/submit
NEW QUESTION # 48
Your Dataproc cluster runs in a single Virtual Private Cloud (VPC) network in a single subnet with range 172.16.20.128/25. There are no private IP addresses available in the VPC network. You want to add new VMs to communicate with your cluster using the minimum number of steps.
What should you do?
- A. Create a new VPC network for the VMs with a subnet of 172.32.0.0/16.
Enable VPC network Peering between the Dataproc VPC network and the VMs VPC network.
Configure a custom Route exchange. - B. Create a new Secondary IP Range in the VPC and configure the VMs to use that range.
- C. Modify the existing subnet range to 172.16.20.0/24.
- D. Create a new VPC network for the VMs.
Enable VPC Peering between the VMs’ VPC network and the Dataproc cluster VPC network.
Answer: C
Explanation:
gcloud compute networks subnets expand-ip-range
NAME
gcloud compute networks subnets expand-ip-range – expand the IP range of a Compute Engine subnetwork
NEW QUESTION # 49
Your company’s infrastructure is on-premises, but all machines are running at maximum capacity.
You want to burst to Google Cloud. The workloads on Google Cloud must be able to directly communicate to the workloads on-premises using a private IP range. What should you do?
- A. Create bastion hosts both in your on-premises environment and on Google Cloud. Configure both as proxy servers using their public IP addresses.
- B. Set up Cloud VPN between the infrastructure on-premises and Google Cloud.
- C. In Google Cloud, configure the VPC for VPC Network Peering.
- D. In Google Cloud, configure the VPC as a host for Shared VPC.
Answer: B
Explanation:
vpc network peering does not connect to on-prem. Cloud VPN is the correct solution.
https://cloud.google.com/vpn/docs/concepts/overview
NEW QUESTION # 50
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