GOOGLE PROFESSIONAL-CLOUD-ARCHITECT EXAMQUESTIONS - 100% SUCCESS

Google Professional-Cloud-Architect ExamQuestions - 100% Success

Google Professional-Cloud-Architect ExamQuestions - 100% Success

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Google Professional-Cloud-Architect (GCP) exam is a certification program designed to assess the skills and knowledge of professionals who want to work with Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is intended to demonstrate that an individual has the expertise and experience to design, develop, and manage scalable, secure, and reliable cloud solutions using GCP technologies.

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Ensuring Operations and Solution Reliability

  • Deploy and release management;
  • Monitor, log, profile, and alert solutions;
  • Assist with solutions support within the operation;
  • Evaluate quality control measures.

Google Professional-Cloud-Architect certification exam covers various topics, including designing and planning a cloud solution architecture, managing and provisioning a cloud solution infrastructure, designing for security and compliance, analyzing and optimizing technical and business processes, and managing implementations of cloud architecture. Professional-Cloud-Architect Exam is designed to test the candidate's proficiency in these areas and their ability to apply their knowledge to real-world scenarios.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q182-Q187):

NEW QUESTION # 182
For this question, refer to the Mountkirk Games case study.
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

  • A. Verify that the database is online.
  • B. Verify that the load-testing team is not running their tool against production.
  • C. Verify that the project quota hasn't been exceeded.
  • D. Verify that the new feature code did not introduce any performance bugs.

Answer: A

Explanation:
Topic 1, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.


NEW QUESTION # 183
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

  • A. Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.
  • B. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
  • C. Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.
  • D. Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

Answer: A

Explanation:
Gcloud to create
Kubectl to do Kubernete


NEW QUESTION # 184
For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput. What are three potential bottlenecks? (Choose 3 answers.)

  • A. A copy command that is not suited to operate over long distances
  • B. A tier of Google Cloud Storage that is not suited for this task
  • C. Complicated internet connectivity between the on-premises infrastructure and GCP
  • D. A single VPN tunnel, which limits throughput
  • E. Fewer virtual machines (VMs) in GCP than on-premises machines
  • F. A separate storage layer outside the VMs, which is not suited for this task

Answer: C,D,E


NEW QUESTION # 185
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?

  • A. Lease a Transfer Appliance, upload archived files to it, and send it to Google to transfer archived data to Cloud Storage. Establish a Cloud VPN Tunnel to VPC networks over the public internet, and compress and upload files daily.
  • B. Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish a connection with Google using a Dedicated Interconnect or Direct Peering connection and use it to upload files daily.
  • C. Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish one Cloud VPN Tunnel to VPC networks over the public internet, and compares and upload files daily using the gsutil -m option.
  • D. Compress and upload both achieved files and files uploaded daily using the qsutil -m option.

Answer: B

Explanation:
Reference:
https://cloud.google.com/interconnect/docs/how-to/direct-peering


NEW QUESTION # 186
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?

  • A. Hash all data using SHA256
  • B. De-identify the data with the Cloud Data Loss Prevention API
  • C. Encrypt all data using elliptic curve cryptography
  • D. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers

Answer: B

Explanation:
https://cloud.google.com/solutions/pci-dss-compliance-
ingcp#using_data_loss_prevention_api_to_sanitize_data


NEW QUESTION # 187
......

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