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Free Google Cloud Architect Professional Exam Braindumps (page: 26)

Page 25 of 68
PDF with 278 Questions

A development manager is building a new application He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must

1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL

Which combination of technologies will meet all of his requirements?

  1. Google Container Engine, Jenkins, and Helm
  2. Google Container Engine and Cloud Load Balancing
  3. Google Compute Engine and Cloud Deployment Manager
  4. Google Compute Engine, Jenkins, and Cloud Load Balancing

Answer(s): A

Explanation:

Helm for managing Kubernetes
Kubernetes can base on the URL to route traffic to different location (path)

https://cloud.google.com/kubernetes-engine/docs/tutorials/http-balancer eg.apiVersion: networking.k8s.io/v1beta1

kind: Ingress metadata:
name: fanout-ingress spec:
rules:
- http:
paths:
- path: /*
backend:
serviceName: web servicePort: 8080
- path: /v2/*

backend:
serviceName: web2
servicePort: 8080



Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-throughs per day. The link leads to a simple website that explains the promotion and collects user information and preferences.
Which infrastructure should you recommend? (CHOOSE TWO)

  1. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
  2. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
  3. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
  4. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.

Answer(s): A,C


Reference:

https://cloud.google.com/storage-options/




https://cloud.google.com/storage-options/



One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application dat

  1. How can you design your logging system to verify authenticity of your logs?
  2. Write the log concurrently in the cloud and on premises.
  3. Use a SQL database and limit who can modify the log table.
  4. Digitally sign each timestamp and log entry and store the signature.
  5. Create a JSON dump of each log entry and store it in Google Cloud Storage.

Answer(s): C

Explanation:

https://cloud.google.com/storage/docs/access-logs


Reference:

https://cloud.google.com/logging/docs/reference/tools/gcloud-logging



You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted.
What should you do?

  1. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
  2. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
  3. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- script in the Cloud Platform Console when you create the new virtual machine instance.
  4. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url

Answer(s): C






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