GCP Professional Cloud Security Engineer Practice Question
Your financial-services firm must inspect payment-card records that reside in an on-premises Oracle database before a nightly ETL job loads them into BigQuery. You decide to use Sensitive Data Protection (Cloud DLP) hybrid inspection so that discovery happens while the data is still on-premises. From the options below, choose the statement that correctly reflects a mandatory configuration or workflow requirement for a hybrid inspection job.
You must configure a Cloud Pub/Sub topic that automatically triggers the DLP service to pull data from the on-premises source.
The data must first be exported to a Cloud Storage bucket, because hybrid inspection jobs can only inspect objects stored in Google Cloud.
Hybrid inspection supports only automatic sampling and therefore does not allow you to specify custom infoTypes or inspection rules.
You stream the on-premises records to the DLP job by invoking the projects.dlpJobs.hybridInspect API and specifying the job's resource name in each request.
After you create a hybrid inspection job, you must push data from the external system to the job by calling the projects.dlpJobs.hybridInspect (or projects.jobTriggers.hybridInspect) method. Each call is made to a URL that contains the DLP job's resource name (for example, projects/my-proj/dlpJobs/123456) and includes a HybridContentItem with the data and required metadata. The DLP service does not automatically pull data, does not require Cloud Storage staging, and still allows custom infoTypes. Pub/Sub can be used for notifications but is not required to start the inspection.
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What is Sensitive Data Protection with Cloud DLP?
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What is the projects.dlpJobs.hybridInspect API used for?
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How is metadata used in DLP hybrid inspection jobs?
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What is Sensitive Data Protection (Cloud DLP)?
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How does the projects.dlpJobs.hybridInspect API work?
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Why isn’t Cloud Storage or Pub/Sub required for hybrid inspection jobs?
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GCP Professional Cloud Security Engineer
Ensuring data protection
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