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Google Certified Professional - Cloud Architect (GCP)

Last Update 12 hours ago Total Questions : 347

The Google Certified Professional - Cloud Architect (GCP) content is now fully updated, with all current exam questions added 12 hours ago. Deciding to include Professional-Cloud-Architect practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our Professional-Cloud-Architect exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Professional-Cloud-Architect sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Certified Professional - Cloud Architect (GCP) practice test comfortably within the allotted time.

Question # 41

For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

A.

Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.

B.

Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.

C.

Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.

D.

Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.

Question # 42

TerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?

A.

Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.

B.

Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage

C.

Make sure there are no other users consuming the 1 Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.

D.

Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage

Question # 43

For this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?

A.

Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.

B.

Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.

C.

Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage

bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.

D.

Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pig scripts to analyze data.

Question # 44

For this question, refer to the EHR Healthcare case study. You are a developer on the EHR customer portal team. Your team recently migrated the customer portal application to Google Cloud. The load has increased on the application servers, and now the application is logging many timeout errors. You recently incorporated Pub/Sub into the application architecture, and the application is not logging any Pub/Sub publishing errors. You want to improve publishing latency. What should you do?

A.

Increase the Pub/Sub Total Timeout retry value.

B.

Move from a Pub/Sub subscriber pull model to a push model.

C.

Turn off Pub/Sub message batching.

D.

Create a backup Pub/Sub message queue.

Question # 45

For this question, refer to the EHR Healthcare case study. EHR has single Dedicated Interconnect

connection between their primary data center and Googles network. This connection satisfies

EHR’s network and security policies:

• On-premises servers without public IP addresses need to connect to cloud resources

without public IP addresses

• Traffic flows from production network mgmt. servers to Compute Engine virtual

machines should never traverse the public internet.

You need to upgrade the EHR connection to comply with their requirements. The new

connection design must support business critical needs and meet the same network and

security policy requirements. What should you do?

A.

Add a new Dedicated Interconnect connection

B.

Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G

C.

Add three new Cloud VPN connections

D.

Add a new Carrier Peering connection

Question # 46

You need to upgrade the EHR connection to comply with their requirements. The new connection design must support business-critical needs and meet the same network and security policy requirements. What should you do?

A.

Add a new Dedicated Interconnect connection.

B.

Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G.

C.

Add three new Cloud VPN connections.

D.

Add a new Carrier Peering connection.

Question # 47

For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for hybrid connectivity between EHR ' s on-premises systems and Google Cloud. You want to follow Google ' s recommended practices for production-level applications. Considering the EHR Healthcare business and technical requirements, what should you do?

A.

Configure two Partner Interconnect connections in one metro (City), and make sure the Interconnect connections are placed in different metro zones.

B.

Configure two VPN connections from on-premises to Google Cloud, and make sure the VPN devices on-premises are in separate racks.

C.

Configure Direct Peering between EHR Healthcare and Google Cloud, and make sure you are peering at least two Google locations.

D.

Configure two Dedicated Interconnect connections in one metro (City) and two connections in another metro, and make sure the Interconnect connections are placed in different metro zones.

Question # 48

For this question, refer to the Mountkirk Games case study.

Mountkirk Games ' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

A.

Verify that the database is online.

B.

Verify that the project quota hasn ' t been exceeded.

C.

Verify that the new feature code did not introduce any performance bugs.

D.

Verify that the load-testing team is not running their tool against production.

Question # 49

For this question, refer to the Mountkirk Games case study.

Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

A.

Container Engine, Cloud Pub/Sub, and Cloud SQL

B.

Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery

C.

Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow

D.

Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow

E.

Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Question # 50

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is and would still be an optimized architecture for performance in the cloud?

A.

Web applications deployed using App Engine standard environment

B.

RabbitMQ deployed using an unmanaged instance group

C.

Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

D.

Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types

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