GET LATEST GOOGLE PROFESSIONAL-CLOUD-ARCHITECT PRACTICE TEST TO PASS EXAM

Get Latest Google Professional-Cloud-Architect Practice Test To Pass Exam

Get Latest Google Professional-Cloud-Architect Practice Test To Pass Exam

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Google Certified Professional-Cloud-Architect (GCP) is a certification exam that is designed to test the knowledge and skills of professionals in the field of cloud architecture. Professional-Cloud-Architect exam is specifically designed to evaluate a candidate’s ability to design, develop, and manage secure, scalable, and highly available cloud-based solutions using Google Cloud Platform (GCP) technologies.

The Google Professional-Cloud-Architect exam measures the candidate's ability to design and plan a cloud solution architecture, manage and provision the cloud infrastructure, optimize the solution for reliability, performance, and cost-effectiveness, and ensure the security and compliance of the cloud environment. It also tests the candidate's knowledge of GCP services such as Compute Engine, Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, BigQuery, and Dataflow. Google Certified Professional - Cloud Architect (GCP) certification is suitable for cloud architects, solution architects, cloud consultants, and IT professionals who are responsible for designing and implementing cloud solutions using GCP.

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The Google Professional-Cloud-Architect Dumps PDF File material is printable, enabling your off-screen study. This format is portable and easily usable on smart devices including laptops, tablets, and smartphones. Google Professional-Cloud-Architect dumps team of professionals keeps an eye on content of the Google Professional-Cloud-Architect Exam and updates its product accordingly. Our pdf is a very handy format for casual and quick preparation of the Google certification exam.

To prepare for the Google Professional-Cloud-Architect certification exam, candidates can choose from various training options such as instructor-led training, online courses, and self-paced study materials. Google Cloud Platform also provides free resources such as documentation, tutorials, and hands-on labs to help candidates gain the necessary skills and knowledge required for the exam. Passing the Google Professional-Cloud-Architect Certification Exam demonstrates an individual's expertise in cloud architecture and validates their ability to design and manage secure, scalable, and reliable cloud solutions using Google Cloud Platform.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q253-Q258):

NEW QUESTION # 253
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

  • A. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.
  • B. Write a schema migration plan to denormalize data for better performance in BigQuery.
  • C. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
  • D. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.
  • E. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.

Answer: B,C

Explanation:
Reference:
https://cloud.google.com/bigquery/docs/loading-data#loading_denormalized_nested_and_repeated_data


NEW QUESTION # 254
You have an application that runs in Google Kubernetes Engine (GKE). Over the last 2 weeks, customers have reported that a specific part of the application returns errors very frequently. You currently have no logging or monitoring solution enabled on your GKE cluster. You want to diagnose the problem, but you have not been able to replicate the issue. You want to cause minimal disruption to the application. What should you do?

  • A. 1. Update your GKE cluster to use Cloud Operations for GKE, and deploy Prometheus.
    2. Set an alert to trigger whenever the application returns an error.
  • B. 1. Update your GKE cluster to use Cloud Operations for GKE.
    2. Use the GKE Monitoring dashboard to investigate logs from affected Pods.
  • C. 1. Create a new GKE cluster with Cloud Operations for GKE enabled.
    2.Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
    3.Use the GKE Monitoring dashboard to investigate logs from affected Pods.
  • D. 1. Create a new GKE cluster with Cloud Operations for GKE enabled, and deploy Prometheus.
    2.Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
    3.Set an alert to trigger whenever the application returns an error.

Answer: A

Explanation:
Reference: https://cloud.google.com/blog/products/management-tools/using-logging-your-apps-running- kubernetes-engine


NEW QUESTION # 255
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSScompliant.
Which of the following is most accurate?

  • A. Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
  • B. Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.
  • C. App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.
  • D. All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.

Answer: D

Explanation:
Explanation
https://cloud.google.com/security/compliance/pci-dss


NEW QUESTION # 256
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 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.
  • C. 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.
  • D. 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.

Answer: B

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 # 257
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?

  • A. Instrument your application with Stackdnver Trace in order to break down the request latencies at each microservice.
  • B. Use Stackdriver Monitoring to look for insights that show when your API latencies are high.
  • C. Send custom metrics for each of your requests to Stackdriver Monitoring.
  • D. Set timeouts on your application so that you can fail requests faster.

Answer: A

Explanation:
Reference:
https://cloud.google.com/trace/docs/overview


NEW QUESTION # 258
......

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