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Google Professional-Cloud-Architect Exam is a certification that is designed for professionals who are involved in cloud architecture. Google Certified Professional - Cloud Architect (GCP) certification is offered by Google and is aimed at those who want to gain expertise in designing, developing, and managing secure, scalable, and reliable solutions on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is intended for architects, engineers, and developers who work with GCP and want to demonstrate their knowledge and skills.

Who should take the Google Professional Cloud Architect exam

Individuals should pursue the Google Professional Cloud Architect Exam if they want to demonstrate their expertise and ability to design and develop Google Cloud architectures. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q202-Q207):

NEW QUESTION # 202
As part of implementing their disaster recovery plan, your company is trying to replicate their production MySQL database from their private data center to their GCP project using a Google Cloud VPN connection.
They are experiencing latency issues and a small amount of packet loss that is disrupting the replication.
What should they do?

Answer: A


NEW QUESTION # 203
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for securely deploying workloads to Google Cloud. You also need to ensure that only verified containers are deployed using Google Cloud services. What should you do? (Choose two.)

Answer: A

Explanation:
Binary Authorization to ensure only verified containers are deployed To ensure deployment are secure and and consistent, automatically scan images for vulnerabilities with container analysis ( https://cloud.google.com
/docs/ci-cd/overview?hl=en & skip_cache=true )


NEW QUESTION # 204
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 dat a. Which architecture should you recommend?
A)

B)

C)

D)

Answer: A

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-connected-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

Reference:
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-data
https://cloud.google.com/solutions/iot/


NEW QUESTION # 205
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

Answer: C

Explanation:
Explanation/Reference:


NEW QUESTION # 206
Your company processes high volumes of IoT data that are time-stamped. The total data volume can be several petabytes. The data needs to be written and changed at a high speed.
You want to use the most performant storage option for your data.
Which product should you use?

Answer: A

Explanation:
A) is not correct because Cloud Datastore is not the most performant product for frequent writes or timestamp-based queries.
B) is not correct because Cloud Storage is designed for object storage not for this type of data ingestion and collection.
C) is correct because Cloud Bigtable is the most performant storage option to work with IoT and time series data.
D) is not correct because although it can store the data, BigQuery is very slow at changing data.
Reference:
Cloud Bigtable Schema Design for Time Series Data:
https://cloud.google.com/bigtable/docs/schema-design-time-series


NEW QUESTION # 207
......

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