Free Google Professional-Cloud-Architect Exam Questions

You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google-recommended tool for such applications?

You can use the internal IP address, but not the external IP adddress, to SSH an instance from another instance in the same VPC. What is one possible reason?

Introductory Info Company overview -

EHR Healthcare is a leading provider of electronic health record software to the medical industry. EHR Healthcare provides their software as a service to multi- national medical offices, hospitals, and insurance providers.

Solution concept -

Due to rapid changes in the healthcare and insurance industry, EHR Healthcare's business has been growing exponentially year over year. They need to be able to scale their environment, adapt their disaster recovery plan, and roll out new continuous deployment capabilities to update their software at a fast pace. Google

Cloud has been chosen to replace their current colocation facilities.

Existing technical environment -

EHR's software is currently hosted in multiple colocation facilities. The lease on one of the data centers is about to expire.

Customer-facing applications are web-based, and many have recently been containerized to run on a group of Kubernetes clusters. Data is stored in a mixture of relational and NoSQL databases (MySQL, MS SQL Server, Redis, and MongoDB).

EHR is hosting several legacy file- and API-based integrations with insurance providers on-premises. These systems are scheduled to be replaced over the next several years. There is no plan to upgrade or move these systems at the current time.

Users are managed via Microsoft Active Directory. Monitoring is currently being done via various open source tools. Alerts are sent via email and are often ignored.

Business requirements -

* On-board new insurance providers as quickly as possible.

* Provide a minimum 99.9% availability for all customer-facing systems.

* Provide centralized visibility and proactive action on system performance and usage.

* Increase ability to provide insights into healthcare trends.

* Reduce latency to all customers.

* Maintain regulatory compliance.

* Decrease infrastructure administration costs.

* Make predictions and generate reports on industry trends based on provider data.

Technical requirements -

* Maintain legacy interfaces to insurance providers with connectivity to both on-premises systems and cloud providers.

* Provide a consistent way to manage customer-facing applications that are container-based.

* Provide a secure and high-performance connection between on-premises systems and Google Cloud.

* Provide consistent logging, log retention, monitoring, and alerting capabilities.

* Maintain and manage multiple container-based environments.

* Dynamically scale and provision new environments.

* Create interfaces to ingest and process data from new providers.

Executive statement -

Our on-premises strategy has worked for years but has required a major investment of time and money in training our team on distinctly different systems, managing similar but separate environments, and responding to outages. Many of these outages have been a result of misconfigured systems, inadequate capacity to manage spikes in traffic, and inconsistent monitoring practices. We want to use Google Cloud to leverage a scalable, resilient platform that can span multiple environments seamlessly and provide a consistent and stable user experience that positions us for future growth. Question For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for hybrid connectivity between EHR's on-premises systems and Google Cloud. You want to follow Google's recommended practices for production-level applications. Considering the EHR Healthcare business and technical requirements, what should you do?

One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data.

How can you design your logging system to verify authenticity of your logs?

Your company has undertaken a significant API revision to enhance the developer experience. It'sessential to maintain accessibility to the old API for existing users while enabling new customers andtesters to experiment with the improved version. Simultaneously, your company aims to preserve theexistingSSLand DNS recordsto serve bothAPIs efficiently. What strategy might your company employ?