Become Google Certified with updated Professional-Cloud-Architect exam questions and correct answers
As a cloud architect, it is your responsibility to monitor any modifications made to the Cloud Storage bucket. For each change, you are required to trigger an action that will promptly validate the compliance of the modification in near real-time. What action should you take?
In your customer support tool, all email and chat conversations are logged to Bigtable for storage and analysis purposes. However, to ensure data privacy and compliance, it is essential to sanitize this data by removing any Personally Identifiable Information (PII) or payment card information before it is initially stored. What approach would you recommend for accomplishing this task?
Your company is developing a mobile game application that is expected to have millions of users worldwide. The application needs to read and write user data quickly with low latency, and the data model is fairly simple. As the cloud architect, you have been tasked with choosing the most suitable NoSQL database for this requirement. Which of the following would be the most appropriate choice?
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?
As a cloud architect, you have observed that a few API requests in your microservices application experience significant delays. You are aware that each API request may pass through multiple services. To identify the specific service causing the longest delays in such cases, what course of action should you pursue?
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