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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Deploying and implementing a cloud solution	20%	- Deploying applications and services - Implementing networking components
Setting up a cloud solution environment	20%	- Setting up cloud projects and accounts - Managing billing and identity access
Planning and configuring a cloud solution	25%	- Configuring storage and database solutions - Configuring compute resources
Ensuring successful operation of a cloud solution	20%	- Managing cloud resources - Monitoring and logging
Configuring access and security	15%	- Securing data and services - Managing IAM roles and permissions

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Google Associate Cloud Engineer Exam Sample Questions (Q254-Q259):

NEW QUESTION # 254
You are using multiple configurations for gcloud. You want to review the configured Kubernetes Engine cluster of an inactive configuration using the fewest possible steps. What should you do?

A. Use gcloud config configurations activate and gcloud config list to review the output.
B. Use kubectl config get-contexts to review the output.
C. Use kubectl config use-context and kubectl config view to review the output.
D. Use gcloud config configurations describe to review the output.

Answer: C

Explanation:
Reference:
https://medium.com/google-cloud/kubernetes-engine-kubectl-config-b6270d2b656c

NEW QUESTION # 255
You want to configure an SSH connection to a single Compute Engine instance for users in the dev1 group. This instance is the only resource in this particular Google Cloud Platform project that the dev1 users should be able to connect to. What should you do?

A. Set metadata to enable-oslogin=truefor the instance. Grant the dev1 group the compute.osLoginrole. Direct them to use the Cloud Shell to ssh to that instance.
B. Enable block project wide keysfor the instance. Generate an SSH key for each user in the dev1 group. Distribute the keys to dev1 users and direct them to use their third-party tools to connect.
C. Set metadata to enable-oslogin=truefor the instance. Set the service account to no service accountfor that instance. Direct them to use the Cloud Shell to ssh to that instance.
D. Enable block project wide keysfor the instance. Generate an SSH key and associate the key with that instance. Distribute the key to dev1 users and direct them to use their third-party tools to connect.

Answer: A

Explanation:
You can grant roles/compute.osLogin instance access roles at the instance level by using the gcloud compute instances add-iam-policy-binding command.
https://cloud.google.com/compute/docs/instances/managing-instance-access#grant-iam-roles

NEW QUESTION # 256
Your company has an existing GCP organization with hundreds of projects and a billing account. Your company recently acquired another company that also has hundreds of projects and its own billing account. You would like to consolidate all GCP costs of both GCP organizations onto a single invoice. You would like to consolidate all costs as of tomorrow. What should you do?

A. Configure the acquired company's billing account and your company's billing account to export the billing data into the same BigQuery dataset.
B. Migrate the acquired company's projects into your company's GCP organization. Link the migrated projects to your company's billing account.
C. Create a new GCP organization and a new billing account. Migrate the acquired company's projects and your company's projects into the new GCP organization and link the projects to the new billing account.
D. Link the acquired company's projects to your company's billing account.

Answer: D

Explanation:
https://cloud.google.com/resource-manager/docs/project-migration#oauth_consent_screen
https://cloud.google.com/resource-manager/docs/project-migration

NEW QUESTION # 257
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. Ask the other team to grant your default App Engine Service account the role of BigQuery Data Viewer.
B. Ask the other team to grant your default App Engine Service account the role of BigQuery Job User.
C. In Cloud IAM of your project, ensure that the default App Engine service account has the role of BigQuery Data Viewer.
D. 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.
:
The Owner, Editor, and Viewer primitive roles include the BigQuery Admin (roles/bigquery.dataOwner), BigQuery Data Editor (roles/bigquery.dataEditor), and BigQuery Data Viewer (roles/bigquery.dataViewer) roles, respectively. This means the Owner, Editor, and Viewer primitive roles have BigQuery access as defined for the respective BigQuery roles.

Answer: C

Explanation:
Reference:
https://cloud.google.com/bigquery/docs/access-control

NEW QUESTION # 258
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?

A. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
B. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
C. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
D. The pending Pod's resource requests are too large to fit on a single node of the cluster.

Answer: C

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 # 259
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