Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?

• A.Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.
• B.Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.
• C.Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.
• D.Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.

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Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

• A.Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
• B.Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
• C.Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
• D.Define a design for the security of data in your web application that meets GDPR requirements.

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For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? (Choose 3 answers.)

• A.A copy command that is not suited to operate over long distances
• B.Complicated internet connectivity between the on-premises infrastructure and GCP
• C.A separate storage layer outside the VMs, which is not suited for this task
• D.A tier of Google Cloud Storage that is not suited for this task
• E.Fewer virtual machines (VMs) in GCP than on-premises machines
• F.A single VPN tunnel, which limits throughput

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You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem. What should you do?

• A.Use gcloud sql instances restart.
• B.Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.
• C.In the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubectl to restart all pods.
• D.In the GCP Console, navigate to Stackdriver Logging. Consult logs for Kubernetes Engine and Cloud SQL.

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A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

• A.Google Kubernetes Engine, Jenkins, and Helm
• B.Google Kubernetes Engine and Cloud Load Balancing
• C.Google Kubernetes Engine and Cloud Deployment Manager
• D.Google Kubernetes Engine, Jenkins, and Cloud Load Balancing

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