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Certification Professional-Cloud-Architect Test Questions & Detail Professional-Cloud-Architect Explanation

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Detail Google Professional-Cloud-Architect Explanation | Professional-Cloud-Architect Exam Engine

The DumpsQuestion is committed to helping the Google Google Certified Professional - Cloud Architect (GCP) exam candidates in the certification exam preparation and success journey. To achieve this objective the DumpsQuestion is offering valid, updated, and verified Google Professional-Cloud-Architect Exam Questions in three different formats. These three different Google Google Certified Professional - Cloud Architect (GCP) exam dumps types are Google PDF Questions Links to an external site.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q67-Q72):

NEW QUESTION # 67
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

A. Use a persistent disk for each instance.
B. Use a regional persistent disk for each instance.
C. Create a Cloud Storage bucket and mount it in each instance using gcsfuse.
D. Create a Cloud Filestore instance and mount it in each instance.

Answer: D

Explanation:
Explanation
https://cloud.google.com/storage/docs/gcs-fuse#notes
Cloud Filestore: Cloud Filestore is a scalable and highly available shared file service fully managed by Google. Cloud Filestore provides persistent storage ideal for shared workloads. It is best suited for enterprise applications requiring persistent, durable, shared storage which is accessed by NFS or requires a POSIX compliant file system.
Reference: https://cloud.google.com/storage/docs/gcs-fuse

NEW QUESTION # 68
You are working at a sports association whose members range in age from 8 to 30. The association collects a large amount of health data, such as sustained injuries. You are storing this data in BigQuery. Current legislation requires you to delete such information upon request of the subject. You want to design a solution that can accommodate such a request. What should you do?

A. Use a unique identifier for each individual. Upon a deletion request, overwrite the column with the unique identifier with a salted SHA256 of its value.
B. Use a unique identifier for each individual. Upon a deletion request, delete all rows from BigQuery with this identifier.
C. Create a BigQuery view over the table that contains all data. Upon a deletion request, exclude the rows that affect the subject's data from this view. Use this view instead of the source table for all analysis tasks.
D. When ingesting new data in BigQuery, run the data through the Data Loss Prevention (DLP) API to identify any personal information. As part of the DLP scan, save the result to Data Catalog. Upon a deletion request, query Data Catalog to find the column with personal information.

Answer: D

Explanation:
Current legislation requires you to delete "SUCH" information upon request of the subject. " So from that point of view the question is not to delete the entire user records but specific data related to personal health data. With DLP you can use InfoTypes and InfoType detectors to specifically scan for those entries and how to act upon them (link https://cloud.google.com/dlp/docs/concepts-infotypes)
https://cloud.google.com/dlp#section-6

NEW QUESTION # 69
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?

A. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
B. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
C. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.
D. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs

Answer: A

Explanation:
Explanation
https://cloud.google.com/iam/docs/understanding-service-accounts
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform

NEW QUESTION # 70
Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?

A. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
B. Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump
C. Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage.
D. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/instances/sql-server/best-practices

NEW QUESTION # 71
You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Firestore.
Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

A. Configure a Kubernetes autoscaling based on the subscription/push_request metric.
B. Use the -enable- autoscaling flag when you create the Kubernetes cluster
C. Use kubectl autoscale deployment APP_NAME -max 6 -min 2 -cpu- percent 50 to configure Kubernetes autoscaling deployment
D. Configure a Kubernetes autoscaling based on the subscription/num_undelivered message metric.

Answer: A

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#external_metrics

NEW QUESTION # 72
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