Exam Professional Cloud Security Engineer All Questions

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Exam Professional Cloud Security Engineer topic 1 question 31 discussion

Actual exam question from Google's Professional Cloud Security Engineer

Question #: 31
Topic #: 1

[All Professional Cloud Security Engineer Questions]

An organization is starting to move its infrastructure from its on-premises environment to Google Cloud Platform (GCP). The first step the organization wants to take is to migrate its current data backup and disaster recovery solutions to GCP for later analysis. The organization's production environment will remain on- premises for an indefinite time. The organization wants a scalable and cost-efficient solution.
Which GCP solution should the organization use?

A. BigQuery using a data pipeline job with continuous updates
B. Cloud Storage using a scheduled task and gsutil
C. Compute Engine Virtual Machines using Persistent Disk
D. Cloud Datastore using regularly scheduled batch upload jobs

Show Suggested Answer

Suggested Answer: B 🗳️

by xhova at April 4, 2020, 4:49 a.m.

Comments

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xhova

Highly Voted 4 years, 8 months ago

Ans is B. A cost efficient disaster recovery solution is needed not a data warehouse.

upvoted 24 times

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madcloud32

Most Recent 9 months, 1 week ago

Selected Answer: B

B is correct. It is about data backup, DR, not the database backup to GCP. BQ is not cost efficient compare to GCS

upvoted 1 times

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tunstila

11 months, 2 weeks ago

the two keywords here are 'later' and 'cost-efficient'. The company doesnt even know when the analysis will occur but they want to store the data. Storing it in BigQuery will not be cost-efficient for later analysis. Cloud Storage Archive is the best deal here.

upvoted 1 times

Nachtwaker

9 months, 2 weeks ago

For later analysis means not now, so Bigquery is not required at this moment. Cloud storage content can be ingested in BigQuery 'later'. So should be B instead of A.

upvoted 1 times

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W00kie

1 year ago

Selected Answer: A

Imho A: "The first step the organization wants to take is to migrate its current data backup and disaster recovery solutions to GCP for later analysis" both solutions are scalable and cost efficient, but cloud storage is not designed for queirng, therefore data analysis would be easier in BigQuery.

upvoted 1 times

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[Removed]

1 year, 4 months ago

Selected Answer: B

The keyword in the question here is "cost-effective". Out of the 3 Disaster Recovery patterns (Cold, Warm, Hot HA), Cold is the most cost-effective which utilizes cloud storage. References: https://cloud.google.com/architecture/dr-scenarios-for-applications#cold-pattern-recovery-to-gcp https://cloud.google.com/architecture/dr-scenarios-planning-guide#use-cloud-storage-as-part-of-your-daily-backup-routine

upvoted 2 times

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raj117

1 year, 4 months ago

Right Answer is B

upvoted 2 times

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SMB2022

1 year, 4 months ago

Correct Answer: B

upvoted 2 times

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AwesomeGCP

2 years, 2 months ago

Selected Answer: B

B confirmed :-) https://cloud.google.com/solutions/dr-scenarios-planning-guide#use-cloud-storage-as-part-of-your-daily-backup-routine

upvoted 3 times

AzureDP900

2 years, 1 month ago

It is B

upvoted 2 times

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giovy_82

2 years, 3 months ago

I would go for B, but a doubt remains: it is talking about Disaster Recovery solution, which could not only be related to data but also to VM and applications running inside VMs. any way B is more cost-efficient than A, considering also that data backup need to be moved to GCP.

upvoted 1 times

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