Google certshero free Professional-cloud-architect Updates by Jakob q104 vce pdf

Page: 8 / 13

Exam Name:	Google Certified Professional - Cloud Architect (GCP)
Exam Code:	Professional-Cloud-Architect Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	277 Q&A's	Shared By:	jakob

Question 32

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?

Options:

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

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

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

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

Discussion

Question 33

For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?

Options:

Replace the existing data warehouse with BigQuery. Use table partitioning.

Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.

Replace the existing data warehouse with BigQuery. Use federated data sources.

Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.

Discussion

Question 34

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to

BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an

automated daily basis while managing cost.

What should you do?

Options:

Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.

Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.

Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.

Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.

Discussion

Melody

My experience with Cramkey was great! I was surprised to see that many of the questions in my exam appeared in the Cramkey dumps.

Colby Jan 3, 2026

Yes, In fact, I got a score of above 85%. And I attribute a lot of my success to Cramkey's dumps.

Lois

I passed my exam with wonderful score. Their dumps are 100% valid and I felt confident during the exam.

Ernie Jan 7, 2026

Absolutely. The best part is, the answers in the dumps were correct. So, I felt confident and well-prepared for the exam.

Marley

Hey, I heard the good news. I passed the certification exam!

Jaxson Jan 25, 2026

Yes, I passed too! And I have to say, I couldn't have done it without Cramkey Dumps.

Everleigh

I must say that they are updated regularly to reflect the latest exam content, so you can be sure that you are getting the most accurate information. Plus, they are easy to use and understand, so even new students can benefit from them.

Huxley Jan 10, 2026

That's great to know. So, you think new students should buy these dumps?

Aliza

I used these dumps for my recent certification exam and I can say with certainty that they're absolutely valid dumps. The questions were very similar to what came up in the actual exam.

Jakub Jan 8, 2026

That's great to hear. I am going to try them soon.

Question 35

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

Options:

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.

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.

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.

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

Discussion

Page: 8 / 13

Title

Questions

Posted

google.braindumps2go.professional-cloud-architect leak questions.by aleena.q156.vce.pdf

156

2026-01-03

google.how2pass.professional-cloud-architect exam lab questions.by killian.q52.vce.pdf