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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 27)

Page 26 of 104
PDF with 411 Questions

Your application has repeated data requests of the exact same nature. At the same time, the number of user requests is increasing. Monitoring indicates that the load on the existing database is increasing, and there seems to be a bottleneck. An analysis of the data requested shows us that it is application-managed data and that it changes, but not often. How can you improve the efficiency of the application?

  1. Use Cloud Memorystore to improve speed via caching
  2. Increase the amount of RAM on the machine hosting the database so that it has higher data throughput.
  3. Use Cloud Storage with multi-regional storage so that all users accessing the data will have lower latency
  4. Increase the number of CPUs on the machine hosting the database so that it has higher data throughput.

Answer(s): A

Explanation:

Cloud Memorystore is an in-memory database that has sub-millisecond latency. This is ideal for caching application data that also changes once in a while.

https://cloud.google.com/memorystore



What conditions be true if a VM interface wants to send packets to the external IP addresses of Google APIs and services using Private Google Access?

  1. VM interface does not have an external IP address assigned.
  2. VM interface is connected to a subnet where Private Google Access is disabled
  3. Both A and B
  4. None of the Above.

Answer(s): A

Explanation:

A VM interface can send packets to the external IP addresses of Google APIs and services using Private Google Access if all these conditions are met:
- The VM interface is connected to a subnet where Private Google Access is enabled.
- The VPC network that contains the subnet meets the network requirements for Google APIs and services.
- The VM interface does not have an external IP address assigned.
- The source IP address of packets sent from the VM matches the VM interface's primary internal IP address or an internal IP address from an alias IP range.

A VM with an external IP address assigned to its network interface doesn't need Private Google Access to connect to Google APIs and services. However, the VPC network must meet the requirements for accessing Google APIs and services.



Your customer has reliable information to indicate that they will use a certain amount of computing and analytics. The workloads are critical and they don't want to take a chance with VMs or BigQuery slots being unavailable during a peak period. How can they ensure that they allocate the capacity?

  1. Send in the filled form to Google Cloud support to reserve the Compute Engine and BigQuery resources required.
  2. Create reservations on Compute Engine and BigQuery.
  3. On the day the capacity is required, set a scheduled job that will provision as many resources as required and lock it in.
  4. Google Cloud is elastic for resources. You cannot reserve resources in advance; it is pay per use.

Answer(s): B

Explanation:

Create reservations on Compute Engine and BigQuery. You can reserve capacity in advance and use it over a period of time. You could also get a cost advantage.

=> There is no need for involved support. It is self-serve via the console. => You can reserve resources in advance when you have the need for it. And when you want to take a pay-per-use approach, that is also possible.
=> It is not a good idea to be lock in/hoard resources; you'll pay unnecessarily for resources. Also, it is difficult to time exactly when the demand will be.


Reference:

https://cloud.google.com/compute/docs/instances/reserving-zonal-resources https://cloud.google.com/bigquery/docs/reservations-intro



An organization's applications run on an inflexible, on-premises architecture. The organization has decided to modernize their existing applications with the cloud.
What may have prompted this business decision?

  1. Developers want cloud providers to take full control of their application performance.
  2. IT managers want cloud providers to automatically deploy their infrastructure.
  3. IT managers want to stop making gradual changes.
  4. Developers want to test ideas and experiment with more ease.

Answer(s): D

Explanation:

Modernizing applications means they can make alterations and innovate more easily.






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