Summer Sale Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: xmas50

Google Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP)

Your ecommerce platform uses a regional Cloud SQL for PostgreSQL database to store critical order information. The business requests a recovery time objective (RTO) of less than 10 minutes and a recovery point objective (RPO) of 2 minutes to ensure business continuity in the event of a full regional outage. You need to design a disaster recovery strategy tor the Cloud SQL database that meets the business ' s strict RTO and RPO requirements. Your design must avoid operational complexity. What should you do?

A.

Schedule hourly automated backups of the Cloud SQL instance to a multi-regional Cloud Storage bucket. In a disaster, restore the latest backup to a new instance in a different region.

B.

Configure the primary instance for high availability (HA). In the event of a regional outage, trigger a failover to the standby instance.

C.

Configure the Cloud SQL instance with a cross-region read replica. In a disaster, promote the read replica to a standalone, primary instance.

D.

Use Database Migration Service to continuously replicate the database to another instance in a different region. In a disaster, redirect application traffic to the replica.

Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

A.

Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.

B.

Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.

C.

Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP

(S) load balancer to expose the different clusters over a single global IP address.

D.

Use Cloud Debugger in the development environment to understand the latency between the different microservices.

For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.

You want to follow Google-recommended practices. How should you design the backend?

A.

Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.

B.

Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.

C.

Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.

D.

Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.

Altostrat ' s development team is using a microservices architecture for their application. You need to select the most suitable testing approach to ensure that individual microservices function correctly in isolation. What should you do?

A.

Run unit testing.

B.

Use load testing.

C.

Perform end-to-end testing.

D.

Execute integration testing.

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

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

Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

A.

Tests should scale well beyond the prior approaches.

B.

Unit tests are no longer required, only end-to-end tests.

C.

Tests should be applied after the release is in the production environment.

D.

Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.

For this question, refer to the TerramEarth case study.

The TerramEarth development team wants to create an API to meet the company ' s business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?

A.

Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.

B.

Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.

C.

Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.

D.

Use Google Container Engine with a Django Python container. Focus on an API for the public.

E.

Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.

For this question, refer to the TerramEarth case study.

To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

A.

Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.

B.

Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.

C.

Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

D.

Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

Your agricultural division is experimenting with fully autonomous vehicles.

You want your architecture to promote strong security during vehicle operation.

Which two architecture should you consider?

Choose 2 answers:

A.

Treat every micro service call between modules on the vehicle as untrusted.

B.

Require IPv6 for connectivity to ensure a secure address space.

C.

Use a trusted platform module (TPM) and verify firmware and binaries on boot.

D.

Use a functional programming language to isolate code execution cycles.

E.

Use multiple connectivity subsystems for redundancy.

F.

Enclose the vehicle ' s drive electronics in a Faraday cage to isolate chips.

For this question, refer to the TerramEarth case study.

TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?

A.

Vehicles write data directly to GCS.

B.

Vehicles write data directly to Google Cloud Pub/Sub.

C.

Vehicles stream data directly to Google BigQuery.

D.

Vehicles continue to write data using the existing system (FTP).