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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Design and plan a cloud solution architecture- Design for reliability, scalability, and availability
- Design Google Cloud solutions based on business requirements
- Plan security and compliance requirements
Manage and provision the solution infrastructure- Automate infrastructure deployment
- Provision compute, storage, and network resources
Analyze and optimize technical and business processes- Monitor, log, and optimize system performance
- Optimize cost and resource usage
Manage implementations of cloud architecture- Ensure solution reliability and operational excellence
- Manage deployment and production systems
Design for security and compliance- Implement identity and access management (IAM)
- Configure data protection and encryption

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q42-Q47):

NEW QUESTION # 42
Your company is building a new architecture to support its data-centric business focus. You are responsible for setting up the network. Your company's mobile and web-facing applications will be deployed on-premises, and all data analysis will be conducted in GCP. The plan is to process and load 7 years of archived .csv files totaling 900 TB of data and then continue loading 10 TB of data daily. You currently have an existing 100-MB internet connection.
What actions will meet your company's needs?

Answer: C


NEW QUESTION # 43
For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand and interpret the predictions. What should you do?

Answer: B

Explanation:
Reference: https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/preparing-metadata
Topic 9, EHR Health Care
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.


NEW QUESTION # 44
Your company places a high value on being responsive and meeting customer needs quickly.
Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced. Which two actions can you take? Choose 2 answers

Answer: A,E

Explanation:
B - Static analysis inspects your source code to identify defects, vulnerabilities, and compliance issues as you code without having to run the program. This makes static analysis an essential component of your pipeline.
https://www.perforce.com/blog/kw/static-analysis-ci-cd-pipelines
E - Container Analysis provides vulnerability scanning and metadata storage for containers through Container Analysis. The scanning service performs vulnerability scans on images in Artifact Registry and Container Registry, then stores the resulting metadata and makes it available for consumption through an API. Metadata storage allows storing information from different sources, including vulnerability scanning, other Cloud services, and third-party providers.
https://cloud.google.com/container-registry/docs/container-analysis


NEW QUESTION # 45
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

Answer: B

Explanation:
https://cloud.google.com/compute/docs/instance-templates/create-instance- templates#using_custom_or_public_images_in_your_instance_templates


NEW QUESTION # 46
For this question refer to the TerramEarth case study.
Which of TerramEarth's legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption.

Answer: D

Explanation:
Capacity planning, TCO calculations, opex/capex allocation From the case study, it can conclude that Management (CXO) all concern rapid provision of resources (infrastructure) for growing as well as cost management, such as Cost optimization in Infrastructure, trade up front capital expenditures (Capex) for ongoing operating expenditures (Opex), and Total cost of ownership (TCO)


NEW QUESTION # 47
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