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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q34-Q39):

NEW QUESTION # 34
As part of their new application experience, Dress4Wm allows customers to upload images of themselves.
The customer has exclusive control over who may view these images.
Customers should be able to upload images with minimal latency and also be shown their images quickly
on the main application page when they log in.
Which configuration should Dress4Win use?

A. Use a distributed file system to store customers' images. As storage needs increase, add more
persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner
attribute, ensuring privacy of images.
B. Use a distributed file system to store customers' images. As storage needs increase, add more
persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps
each customer's ID to their image files.
C. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata
that maps each customer's ID and their image files.
D. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in
Cloud Storage that contains the customer's unique ID.

Answer: C

NEW QUESTION # 35
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSScompliant.
Which of the following is most accurate?

A. Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.
B. Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
C. App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.
D. All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.

Answer: D

Explanation:
https://cloud.google.com/security/compliance/pci-dss

NEW QUESTION # 36
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)

A. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
B. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.
C. Begin packaging their game backend artifacts in container images and running them on Kubernetes Engine to improve the availability to scale up or down based on game activity.
D. Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
E. Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.

Answer: A,C

NEW QUESTION # 37
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

A. Use gcloud to create a Kubernetes cluster. Use kubect1 to create the deployment.
B. Use kubect1 to create a Kubernetes cluster. Use kubect1 to create the deployment.
C. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
D. Use kubect1 to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster

NEW QUESTION # 38
For this question, refer to the TerramEarth case study.
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle data. Which architecture should you recommend?

Answer: A

Explanation:
Explanation
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-conne cted-car-data
https://cloud.google.com/solutions/iot/
The push endpoint can be a load balancer.
A container cluster can be used.
Cloud Pub/Sub for Stream Analytics

References: https://cloud.google.com/pubsub/
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-connected-car
https://cloud.google.com/solutions/iot/

NEW QUESTION # 39
......

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q34-Q39):

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Valid Professional-Cloud-Architect Exam Cost & New Professional-Cloud-Architect Study Notes

Difficulty in writing the Google Professional Cloud Architect Exam

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q34-Q39):

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