Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used.
How should you design your architecture?

• A.Create a tokenizer service and store only tokenized data
• B.Create separate projects that only process credit card data
• C.Create separate subnetworks and isolate the components that process credit card data
• D.Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data
• E.Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor

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You need to develop procedures to verify resilience of disaster recovery for remote recovery using GCP. Your production environment is hosted on-premises. You need to establish a secure, redundant connection between your on premises network and the GCP network.
What should you do?

• A.Verify that Dedicated Interconnect can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if Dedicated Interconnect fails.
• B.Verify that Dedicated Interconnect can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if Dedicated Interconnect fails.
• C.Verify that the Transfer Appliance can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if the Transfer Appliance fails.
• D.Verify that the Transfer Appliance can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if the Transfer Appliance fails.

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You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?

• A.Install the latest BigQuery API client library for Python
• B.Run your script on a new virtual machine with the BigQuery access scope enabled
• C.Create a new service account with BigQuery access and execute your script with that user
• D.Install the bq component for gccloud with the command gcloud components install bq.

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You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

• A./usr/local/bin
• B.~/bin
• C.Cloud Storage
• D./google/scripts

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Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used. How should you design your architecture?

• A.Create a tokenizer service and store only tokenized data.
• B.Create separate projects that only process credit card data.
• C.Create separate subnetworks and isolate the components that process credit card data.
• D.Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data.
• E.Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.

Comment: *

Name: *

Email: *

Verification: *