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Free Google Cloud Architect Professional Exam Braindumps (page: 8)

Page 7 of 68
PDF with 278 Questions
View Related Case Study

For this question, refer to the Dress4Win case study.

Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

  1. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
  2. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
  3. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
  4. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.

Answer(s): C



View Related Case Study

For this question, refer to the Dress4Win case study.

Dress4Win has asked you for advice on how to migrate their on-premises MySQL deployment to the cloud. They want to minimize downtime and performance impact to their on-premises solution during the migration.
Which approach should you recommend?

  1. Create a dump of the on-premises MySQL master server, and then shut it down, upload it to the cloud environment, and load into a new MySQL cluster.
  2. Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous replication from the MySQL master server on-premises until cutover.
  3. Create a new MySQL cluster in the cloud, configure applications to begin writing to both on- premises and cloud MySQL masters, and destroy the original cluster at cutover.
  4. Create a dump of the MySQL replica server into the cloud environment, load it into: Google Cloud Datastore, and configure applications to read/write to Cloud Datastore at cutover.

Answer(s): B



View Related Case Study

For this question, refer to the Dress4Win case study.

Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy.
What should they do?

  1. Install the Stackdriver agent on all of the legacy web servers.
  2. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule
  3. Configure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
  4. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the value matches GoogleStackdriverMonitoring-- UptimeChecks (https://cloud.google.com/monitoring)

Answer(s): B



View Related Case Study

For this question, refer to the Dress4Win case study.

You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority.
Which cloud services should you choose?

  1. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
  2. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
  3. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
  4. BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.

Answer(s): A


Reference:

https://cloud.google.com/storage/docs/storage-classes






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