Professional Cloud Architect on Google Cloud Platform Terramearth Practice Questions

For this question refer to the TerramEarth case study Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?

• AA. Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.
• BB. Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.
• CC. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.
• DD. Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.

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?

• AA. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
• BB. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
• CC. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
• DD. Use Google Container Engine with a Django Python container. Focus on an API for the public.
• EE. 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 You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company's processes should you recommend?

• AA. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
• BB. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.
• CC. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
• DD. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.