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Achieving the Google Professional-Cloud-Architect Certification demonstrates to potential employers and clients that an individual has the skills and knowledge necessary to design and implement effective cloud architecture solutions using GCP. Google Certified Professional - Cloud Architect (GCP) certification is particularly valuable for individuals who work in roles such as cloud architects, cloud engineers, and solutions architects.
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To become a Google Certified Professional - Cloud Architect, candidates must pass the GCP certification exam. Professional-Cloud-Architect exam consists of multiple-choice questions and is delivered online. Candidates have two hours to complete the exam, and they must score at least 70% to pass. Professional-Cloud-Architect Exam Fee is $200 USD, and it is recommended that candidates have at least three years of industry experience before taking the exam.
Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q180-Q185):
NEW QUESTION # 180
For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?
- A. The number of character sets present in the database
- B. Latency difference between US and Asia
- C. Total visits and average latency for users in Asia
- D. Total visits, error rates, and latency from Asia
- E. Error rates for requests from Asia
Answer: C
NEW QUESTION # 181
You have an application deployed on Google Kubernetes Engine using a Deployment named echo-deployment.
The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?
- A. Update the service yaml file which the new container image. Use kubectl delete service/echo- service and kubectl create -f <yaml-file>
- B. Use kubectl set image deployment/echo-deployment <new-image>
- C. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster
- D. Update the deployment yaml file with the new container image. Use kubectl delete deployment/ echo-deployment and kubectl create -f <yaml-file>
Answer: C
Explanation:
Explanation/Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps
NEW QUESTION # 182
You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?
- A. Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.
- B. Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.
- C. Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.
- D. Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.
Answer: D
NEW QUESTION # 183
You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?
- A. Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.
- B. Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.
- C. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.
- D. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.
Answer: C
Explanation:
https://kubernetes.io/docs/concepts/services-networking/ingress/
Topic 1, 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 # 184
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately
when a vehicle in the field will have a catastrophic failure. You want to allow analysts to centrally query the
vehicle data.
Which architecture should you recommend?
A:
B:
C:
D:
- A. Option C
- B. Option D
- C. Option B
- D. Option A
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The push endpoint can be a load balancer.
A container cluster can be used.
Cloud Pub/Sub for Stream Analytics
References: https://cloud.google.com/pubsub/
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-
connected-car-data
https://cloud.google.com/solutions/iot/
NEW QUESTION # 185
......
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