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Associate-Cloud-Engineer Valid Test Guide - Reliable Associate-Cloud-Engineer Test Practice
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Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Exam is a certification exam that is designed to test the proficiency of an individual in the field of cloud computing. Associate-Cloud-Engineer exam is intended for those who have knowledge and experience in the Google Cloud Platform and related technologies. Individuals who pass Associate-Cloud-Engineer exam will be recognized as Google Associate Cloud Engineers, which is a valuable certification for those seeking a career in cloud computing or IT.
The Google Associate-Cloud-Engineer Exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete the exam. Associate-Cloud-Engineer exam tests the candidate's knowledge of Google Cloud Platform services such as Compute Engine, App Engine, Cloud Storage, Cloud SQL, Cloud Datastore, Cloud Spanner, Cloud Pub/Sub, and Cloud Functions.
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Google Associate Cloud Engineer Exam Sample Questions (Q239-Q244):
NEW QUESTION # 239
You want to send and consume Cloud Pub/Sub messages from your App Engine application. The Cloud Pub/Sub API is currently disabled. You will use a service account to authenticate your application to the API. You want to make sure your application can use Cloud Pub/Sub. What should you do?
- A. Enable the Cloud Pub/Sub API in the API Library on the GCP Console.
- B. Use Deployment Manager to deploy your application.
Rely on the automatic enablement of all APIs used by the application being deployed. - C. Grant the App Engine Default service account the role of Cloud Pub/Sub Admin.
Have your application enable the API on the first connection to Cloud Pub/Sub. - D. Rely on the automatic enablement of the Cloud Pub/Sub API when the Service Account accesses it.
Answer: A
NEW QUESTION # 240
You manage three Google Cloud projects with the Cloud Monitoring API enabled. You want to follow Google-recommended practices to visualize CPU and network metrics for all three projects together. What should you do?
- A. 1. Create a fourth Google Cloud project
2 Create a Cloud Workspace from the fourth project and add the other three projects - B. 1. Create a Cloud Monitoring Dashboard
2. Collect metrics and publish them into the Pub/Sub topics 3. Add CPU and network Charts (or each of (he three projects - C. 1 Create a Service Account and apply roles/viewer on the three projects
2. Collect metrics and publish them lo the Cloud Monitoring API
3. Add CPU and network Charts for each of the three projects. - D. 1. Create a Cloud Monitoring Dashboard.
2. Select the CPU and Network metrics from the three projects.
3. Add CPU and network Charts lot each of the three protects.
Answer: D
NEW QUESTION # 241
You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application. You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce-network, that has no overlapping IP ranges with the first VPC. This instance needs to connect to the application on GKE. You want to minimize effort. What should you do?
- A. 1. In GKE, create a Service of type NodePortthat uses the application's Pods as backend.
2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.
3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.
4. Configure the Compute Engine instance to use the address of proxyin gce-networkas endpoint. - B. 1. In GKE, create a Serviceof type LoadBalancer that uses the application's Pods as backend.
2. Set the service's externalTrafficPolicyto Cluster.
3. Configure the Compute Engine instance to use the address of the load balancer that has been created. - C. 1. In GKE, create a Serviceof type LoadBalancerthat uses the application's Pods as backend.
2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal
3. Peer the two VPCs together.
4. Configure the Compute Engine instance to use the address of the load balancer that has been created. - D. 1. In GKE, create a Serviceof type LoadBalancerthat uses the application's Pods as backend.
2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.
3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
Answer: B
Explanation:
Explanation/Reference:
NEW QUESTION # 242
You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application. You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce-network, that has no overlapping IP ranges with the first VPC. This instance needs to connect to the application on GKE. You want to minimize effort. What should you do?
- A. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
- B. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal3. Peer the two VPCs together.4. Configure the Compute Engine instance to use the address of the load balancer that has been created.
- C. 1. In GKE, create a Service of type NodePort that uses the application's Pods as backend.2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.4. Configure the Compute Engine instance to use the address of proxy in gce-network as endpoint.
- D. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.2. Set the service's externalTrafficPolicy to Cluster.3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
Answer: D
Explanation:
performs a peering between the two VPC's (the statement makes sure that this option is feasible since it clearly specifies that there is no overlapping between the ip ranges of both vpc's), deploy the LoadBalancer as internal with the annotation, and configure the endpoint so that the compute engine instance can access the application internally, that is, without the need to have a public ip at any time and therefore, without the need to go outside the google network. The traffic, therefore, never crosses the public internet.
https://medium.com/pablo-perez/k8s-externaltrafficpolicy-local-or-cluster-40b259a19404
https://cloud.google.com/kubernetes-engine/docs/how-to/internal-load-balancing clients in a VPC network connected to the LoadBalancer network using VPC Network Peering can also access the Service
https://cloud.google.com/kubernetes-engine/docs/how-to/service-parameters
NEW QUESTION # 243
You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web-applications project. What should you do?
- A. Give "project owner" role to crm-databases-proj and the web-applications project.
- B. Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.
- C. Give "project owner" for web-applications appropriate roles to crm-databases- proj
- D. Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web-applications.
Answer: B
Explanation:
Reference:
https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit- logging
NEW QUESTION # 244
......
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