Question 1

Your company has a service that needs to run on a fleet of identical instances and scales according to traffic patterns. You are tasked with setting up a Managed Instance Group (MIG) on Google Cloud Platform. The instances are created from an instance template and a startup script, which fetches the latest version of the application code from a Cloud Storage bucket every time an instance starts. However, your company wants to avoid any potential downtime when deploying updates to the application. Which strategy should you recommend?

Options :

A : Modify the application code to poll the Cloud Storage bucket for updates periodically.

B : Manually replace instances in the MIG after updating the application.

C : Use a rolling update to gradually replace instances in the MIG.

D : Increase the number of instances in the MIG before deploying an update to the application.

Answer: C

Question 2

Refer to the TerramEarth case study for this question: https://services.google.com/fh/files/blogs/master_case_study_terramearth.pdfUpon evaluating TerramEarth's business requirements to minimize downtime, it was determined that a substantial amount of time-saving could be achieved by decreasing customers' wait time for parts. Consequently, the decision has been made to concentrate efforts on reducing the aggregate reporting time of three weeks. What changes to the company's processes would you suggest?

Options :

A : Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.

B : Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.

C : Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

D : Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

Answer: B

Question 3

An enterprise is in search of a solution for its application. The solution will handle the load in case of a failure of the entire zone. In your opinion, from the following options, which solution is better? (Choose 2)

Options :

A : Overprovision your regional managed instance group by at least 50% (for three zones)

B : Spread your managed instance group over two zones and overprovision by 100% (for two zones)

C : Do not select the "Multizone" option when creating your managed instance group

D : Create a regional unmanaged instance group and spread your instances across multiple zones

Answer: A,B

Question 4

You are a cloud architect for a large-scale company that is transitioning its monolithic applications to a microservices-based architecture on Google Cloud. You have been tasked with recommending an optimal strategy for deploying, managing, and scaling these microservices. Which of the following approaches would be most effective?

Options :

A : Use Cloud Functions for each microservice, utilizing the event-driven nature of Cloud Functions to manage and scale services.

B : Use Compute Engine to individually manage each microservice, utilizing autoscaling groups to handle scaling.

C : Deploy each microservice as a separate App Engine application, utilizing App Engine-s automatic scaling and load balancing capabilities.

D : Deploy the microservices on Google Kubernetes Engine (GKE), utilizing the orchestration capabilities of Kubernetes to manage and scale services.

Answer: D

Question 5

As a cloud architect, you work for a courier company that delivers packages all over the world. You are responsible for preparing a system that will track the location of packages. This solution must be scalable and ensure high consistency. Your data storage solution must also support SQL queries. Which GCP service should you recommend?

Options :

A : Dataproc

B : Cloud SQL

C : Cloud Spanner

D : BigQuery

Answer: C

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