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Practice Test 3 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test

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Your organization deals with a huge amount of data and lately, it has become time-consuming and complicated to handle the ever-increasing data volume that needs to be protected and classified based on data sensitivity. The management has set the objective to automate data quarantine and classification system using Google Cloud Platform services. Please select the services that would achieve the objective.

A. Cloud Storage, Cloud Function, Cloud Pub/Sub, DLP API
B. Cloud Storage, Cloud Function, VPC Service control, Cloud Pub/sub
C. Cloud  Storage, Cloud Function, Cloud Armour, DLP API
D. Cloud Storage, Cloud Pub/Sub, Cloud Classifier, Cloud Function

Option A is the Correct choice because, the data is uploaded to Cloud Storage and later we create buckets example classification_bucket_1 ( for sensitive information) and classification_bucket_2 (for non-sensitive information), use Cloud Function to invoke the DLP API when files are uploaded to cloud storage, use Cloud Pub/Sub topic and subscription to notify when file processing is completed, use Cloud DLP to understand and manage sensitive data(classification).

Option B is Incorrect because VPC service doesn’t help in data classification better choice would be to use Cloud DLP API. VPC Service Controls allow users to define a security perimeter around Google Cloud Platform resources such as Cloud Storage buckets, Bigtable instances, and BigQuery datasets to constrain data within a VPC and help mitigate data exfiltration.

Option C is Incorrect because Google Cloud Armor delivers defense at scale against infrastructure and application Distributed Denial of Service (DDoS) attacks using Google’s global infrastructure and security systems which don’t fulfill the objective set by the management.

Option D is Incorrect because Cloud Classifier is a fictitious service. Using Cloud DLP API serves the purpose of classifying data. Cloud DLP helps you better understand and manage sensitive(protected ) data.

The numbers in this pipeline correspond to these steps:

  1. You upload files to Cloud Storage.
  2. You invoke a Cloud Function.
  3. The DLP API inspects and classifies the data.
  4. The file is moved to the appropriate bucket.

 

Read more about it here:

https://cloud.google.com/solutions/automating-classification-of-data-uploaded-to-cloud-storage

https://cloud.google.com/dlp/

 

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