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NEW QUESTION 53
You are working with a client who plans to migrate their data to Google Cloud. You are responsible for recommending an encryption service to manage their encrypted keys. You have the following requirements:
* The master key must be rotated at least once every 45 days.
* The solution that stores the master key must be FIPS 140-2 Level 3 validated.
* The master key must be stored in multiple regions within the US for redundancy.
Which solution meets these requirements?

A. Customer-supplied encryption keysB. Google-managed encryption keysC. Customer-managed encryption keys with Cloud Key Management ServiceD. Customer-managed encryption keys with Cloud HSM

Answer: D

Explanation:
Explanation
https://cloud.google.com/docs/security/key-management-deep-dive https://cloud.google.com/kms/docs/faq

 

NEW QUESTION 54
Your team wants to make sure Compute Engine instances running in your production project do not have public IP addresses. The frontend application Compute Engine instances will require public IPs. The product engineers have the Editor role to modify resources. Your team wants to enforce this requirement.
How should your team meet these requirements?

A. Set up an organization policy to only permit public IPs for the front-end Compute Engine instances.B. Set up a VPC network with two subnets: one with public IPs and one without public IPs.C. Enable Private Access on the VPC network in the production project.D. Remove the Editor role and grant the Compute Admin IAM role to the engineers.

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/compute/docs/ip-addresses/reserve-static-external-ip-address

 

NEW QUESTION 55
You are responsible for protecting highly sensitive data in BigQuery. Your operations teams need access to this data, but given privacy regulations, you want to ensure that they cannot read the sensitive fields such as email addresses and first names. These specific sensitive fields should only be available on a need-to-know basis to the HR team. What should you do?

A. Perform data masking with the DLP API and store that data in BigQuery for later use.B. Perform data inspection with the DLP API and store that data in BigQuery for later use.C. Perform data redaction with the DLP API and store that data in BigQuery for later use.D. Perform tokenization for Pseudonymization with the DLP API and store that data in BigQuery for later use.

Answer: B

Explanation:
Explanation/Reference: https://towardsdatascience.com/bigquery-pii-and-cloud-data-loss-prevention-dlp-take-it-to-the-next- level-with-data-catalog-c47c31bcf677

 

NEW QUESTION 56
For compliance reasons, an organization needs to ensure that in-scope PCI Kubernetes Pods reside on "in- scope" Nodes only. These Nodes can only contain the "in-scope" Pods.
How should the organization achieve this objective?

A. Create a node pool with the label inscope: true and a Pod Security Policy that only allows the Pods to run on Nodes with that label.B. Add a nodeSelector field to the pod configuration to only use the Nodes labeled inscope: true.C. Place a taint on the Nodes with the label inscope: true and effect NoSchedule and a toleration to match in the Pod configuration.D. Run all in-scope Pods in the namespace "in-scope-pci".

Answer: C

 

NEW QUESTION 57
A company is running workloads in a dedicated server room. They must only be accessed from within the private company network. You need to connect to these workloads from Compute Engine instances within a Google Cloud Platform project.
Which two approaches can you take to meet the requirements? (Choose two.)

A. Configure the project with VPC peering.B. Configure all Compute Engine instances with Private Access.C. Configure the project with Cloud Interconnect.D. Configure the project with Shared VPC.E. Configure the project with Cloud VPN.

Answer: A,B

 

NEW QUESTION 58
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