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| Section | Objectives |
|---|---|
| Topic 1: Analyzing and optimizing technical and business processes | - Analyzing and defining business processes
|
| Topic 2: Ensuring solution and operations reliability | - Assisting with support
|
| Topic 3: Managing implementation | - Advising development/operation team(s) to ensure successful deployment
|
| Topic 4: Managing and provisioning a solution infrastructure | - Configuring network topologies
|
| Topic 5: Designing and planning a cloud solution architecture | - Enabling future cloud technology
|
| Topic 6: Designing for security and compliance | - Designing for security
|
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NEW QUESTION # 251
Case Study: 10 - EHR Healthcare
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.
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.
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?
Answer: A
Explanation:
Google's recommended practices for production-level applications" and then see overview of these 2 pages- https://cloud.google.com/network- connectivity/docs/interconnect/tutorials/production-level-overview and
https://cloud.google.com/network-connectivity/docs/interconnect/tutorials/non-critical-overview.
NEW QUESTION # 252
You are designing the storage configuration for a critical Cloud Storage bucket. This bucket will store trade confirmation documents for a financial services company. These documents are immutable and serve as a legal record. Your design must meet two primary data protection requirements:
* The system must allow for the rapid recovery of any document that is accidentally deleted or maliciously overwritten.
* Once a document is written, it must be impossible for anyone, including administrators, to delete or modify it for seven years.
What should you do?
Answer: C
Explanation:
To satisfy strict regulatory compliance (such as SEC Rule 17a-4), you must implement WORM (Write Once, Read Many) storage. According to Cloud Storage documentation , this is achieved through a Retention Policy and Bucket Lock . Once a Bucket Lock is applied, the retention policy cannot be shortened or removed-even by a Project Owner or Administrator-ensuring the 7-year legal requirement is met.
To address the " rapid recovery " requirement for accidental deletions or overwrites, Object Versioning is essential. When versioning is enabled, deleting or overwriting an object creates a " noncurrent " version instead of permanently removing the data. This allows for immediate restoration. Option D (Lifecycle Management) is incorrect because it can only delete or change classes of objects after a time period; it does not prevent a user with sufficient permissions from deleting the object manually before that time. Option B (IAM) is insufficient because it does not protect against malicious administrators. Only the combination of Object Versioning and a locked Retention Policy provides the non-repudiable protection required for financial trade documents.
NEW QUESTION # 253
Your ecommerce platform uses a regional Cloud SQL for PostgreSQL database to store critical order information. The business requests a recovery time objective (RTO) of less than 10 minutes and a recovery point objective (RPO) of 2 minutes to ensure business continuity in the event of a full regional outage. You need to design a disaster recovery strategy for the Cloud SQL database that meets the business ' s strict RTO and RPO requirements. Your design must avoid operational complexity. What should you do?
Answer: C
Explanation:
A full regional outage disables an entire Google Cloud region, including all internal availability zones.
Standard High Availability (HA) configuration for Cloud SQL operates exclusively as an intra-region, cross- zone failover mechanism; it cannot survive a comprehensive regional disaster. Similarly, point-in-time recovery utilizing automated hourly backups cannot satisfy a strict 2-minute RPO requirement, as data generated between the last backup and the outage would be lost.
To satisfy an RPO of 2 minutes and an RTO of under 10 minutes during a total regional loss, a cross-region read replica must be maintained. Cloud SQL uses asynchronous replication to update cross-region replicas, which continuously mirrors transactions with minimal lag, safely preserving data in a geographically separated region. When the primary region drops, administrative promotion of the cross-region read replica into a standalone read-write primary instance can be completed in minutes, successfully meeting both the availability goals and minimizing complexity.
References: Cloud Architect (GCP) Study Guide topics: " Cloud SQL High Availability vs Disaster Recovery
" , " Cross-Region Replication Mechanics " , and " Promoting Read Replicas for Business Continuity " .
NEW QUESTION # 254
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instance in a different project in the US-East region.
What steps must you take?
Answer: B
Explanation:
A) This approach affects performance of the existing machine and incurs significant network costs.
B) This approach does not allow you to create the VM in the new project since snapshots are limited to the project in which they are taken.
C) dd will not work correctly on a mounted disk.
D) (Correct Answer) - This approach meets all of the requirements, it is easy to do and works cross project and cross region.
Reference Resources:
https://cloud.google.com/compute/docs/images/sharing-images-across-projects
NEW QUESTION # 255
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers
Answer: B,C,E
NEW QUESTION # 256
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