Question 1

In GCP, your ingestion services cannot keep up with the rate that new data is received. What can you do to ensure that data is not lost if ingestion services cannot keep up with the rate at which new data is received?

Options :

A : You can use Cloud Pub/Sub queue. Add data to a queue. Than, you can use Cloud Function to remove the data from the queue, transform and write it to another storage system.

B : You can use BigQuery dataset. Add data to a temporary table. Than, use Dataflow to process the data and writes it to another storage system.

C : You cannot prevent data loss.

D : You should change the capacity of your storage system.

Answer: A

Question 2

You are deploying an App Engine application that requires integration with an on-premises database. Your on-premises database should not be accessible via the public internet for security reasons. What are your options?

Options :

A : Deploy your app on App Engine-s standard environment and use App Engine firewall rules to restrict access to the open on-premises database.

B : Deploy your application in a standard App Engine environment and use Cloud VPN to restrict access to the on-premises database.

C : Deploy your application to a flexible App Engine environment and use App Engine firewall rules to restrict access to the on-premises database.

D : Deploy your application in a flexible App Engine environment and use Cloud VPN to restrict access to the on-premises database

Answer: D

Question 3

As a cloud architect, you're helping a large organization deploy an update to their mission-critical application on App Engine. The application is used 24/7 by users worldwide, and it is crucial that the update does not affect application availability or user experience. Which of the following deployment strategies should you recommend?

Options :

A : Big Bang Deployment: Replace the existing application with the new version in a single operation.

B : Blue-Green Deployment: Create a new version of the application, migrate all traffic to the new version, and delete the old version.

C : Canary Deployment: Create a new version of the application and gradually migrate user traffic from the old version to the new version.

D : Rolling Update: Update the application code in the existing version and restart the application.

Answer: C

Question 4

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading.Where should you store the data?

Options :

A : Google BigQuery

B : Google Cloud SQL

C : Google Cloud Bigtable

D : Google Cloud Storage

Answer: C

Question 5

You are deploying an application to Google Cloud. The application is part of a system. The application in Google Cloud must communicate over a private network with applications in a non-Google Cloud environment. The expected average throughput is 200 kbps. The business requires:as close to 100% system availability as possiblecost optimizationYou need to design the connectivity between the locations to meet the business requirements. What should you provision?

Options :

A : An HA Cloud VPN gateway connected with two tunnels to an on-premises VPN gateway

B : Two Classic Cloud VPN gateways connected to two on-premises VPN gateways Configure each Classic Cloud VPN gateway to have two tunnels, each connected to different on-premises VPN gateways

C : Two HA Cloud VPN gateways connected to two on-premises VPN gateways Configure each HA Cloud VPN gateway to have two tunnels, each connected to different on-premises VPN gateways

D : A single Cloud VPN gateway connected to an on-premises VPN gateway

Answer: A

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