[May 07, 2023] Professional-Cloud-Architect Sample with Accurate & Updated Questions
Professional-Cloud-Architect Exam Info and Free Practice Test | TorrentExam
Preparation Process
The official website offers the candidates a wide range of training tools that they can use to build the required knowledge base for the qualifying test. The first step in your preparation must be a thorough review of the exam guide. This document contains a complete list of topics as well as case studies that may be included in the test. The familiarity with the exam topics will also help you assess the scope of work and structure the preparation process. Then, you can proceed with the Professional Cloud Architect learning path. This preparation option offers you online training, in-person classes, and hands-on labs to fully equip you for the upcoming certification exam. Besides that, the applicants can get an insight into the question formats and example content that may be covered in the test using the official sample questions. Additionally, the learners can enhance their knowledge of the exam topics by attending the dedicated webinar or exploring Google Cloud documentation.
NEW QUESTION # 86
You have created several preemptible Linux virtual machine instances using Google Compute Engine.
You want to properly shut down your application before the virtual machines are preempted. What should you do?
- A. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
- B. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
- C. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- script in the Cloud Platform Console when you create the new virtual machine instance.
- D. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
Answer: C
Explanation:
https://cloud.google.com/compute/docs/shutdownscript
NEW QUESTION # 87
For this question, refer to the Dress4Win case study.
Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?
- A. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
- B. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
- C. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
- D. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
Answer: C
NEW QUESTION # 88
For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.
What change in the on-premises architecture should you make?
- A. Resize compute resources to match predefined Compute Engine machine types.
- B. Replace RabbitMQ with Google Pub/Sub.
- C. Containerize the micro services and host them in Google Kubernetes Engine.
- D. Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
Answer: A
NEW QUESTION # 89
Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?
- A. Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the on- premises AD domain controller using Google Cloud Directory Sync.
- B. Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.
- C. Use the Admin Directory API to authenticate against the Active Directory domain controller.
- D. Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.
Answer: B
Explanation:
https://cloud.google.com/blog/products/identity-security/using-your-existing-identitymanagement- system-with-google-cloud-platform
NEW QUESTION # 90
You are working in a highly secured environment where public Internet access from the Compute Engine VMs is not allowed. You do not yet have a VPN connection to access an on-premises file server. You need to install specific software on a Compute Engine instance. How should you install the software?
- A. Upload the required installation files to Cloud Source Repositories. Configure the VM on a subnet with a Private Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to the VM using gcloud.
- B. Upload the required installation files to Cloud Source Repositories and use firewall rules to block all traffic except the IP address range for Cloud Source Repositories. Download the files to the VM using gsutil.
- C. Upload the required installation files to Cloud Storage. Configure the VM on a subnet with a Private Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to the VM using gsutil.
- D. Upload the required installation files to Cloud Storage and use firewall rules to block all traffic except the IP address range for Cloud Storage. Download the files to the VM using gsutil.
Answer: C
Explanation:
Explanation
https://cloud.google.com/vpc/docs/private-access-options#pga-supported
NEW QUESTION # 91
Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords. What authentication strategy should they use?
- A. Federate authentication via SAML 2.0 to the existing Identity Provider.
- B. Use G Suite Password Sync to replicate passwords into Google.
- C. Provision users in Google using the Google Cloud Directory Sync tool.
- D. Ask users to set their Google password to match their corporate password.
Answer: A
Explanation:
Reference:
https://cloud.google.com/solutions/authenticating-corporate-users-in-a-hybrid-environment
NEW QUESTION # 92
Case Study: 4 - Dress4Win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
Redis - metadata, social graph, caching
Application servers:
Tomcat - Java micro-services
Nginx - static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
NAS - image storage, logs, backups
Apache Hadoop/Spark servers:
Data analysis
Real-time trending calculations
MQ servers:
Messaging
Social notifications
Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years.
Cost optimization is your top priority.
Which cloud services should you choose?
- A. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
- B. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
- C. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
- D. BigQuery to store the data, and a web server cluster in a managed instance group to access the data.
Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
Answer: C
Explanation:
https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 93
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?
- A. Use the gcloud recommender command to list the idle virtual machine instances.
- B. From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.
- C. Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.
- D. Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
Answer: C
Explanation:
Reference: https://cloud.google.com/compute/docs/instances/viewing-and-applying-idle-vm-recommendations
NEW QUESTION # 94
The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk.
What should they change to get better performance from this system?
- A. Dynamically resize the SSD persistent disk to 500 GB
- B. Create a new virtual machine running PostgreSQL
- C. Increase the virtual machine's memory to 64 GB
- D. Migrate their performance metrics warehouse to BigQuery
- E. Modify all of their batch jobs to use bulk inserts into the database
Answer: A
NEW QUESTION # 95
Your team will start developing a new application using microservices architecture on Kubernetes Engine. As part of the development lifecycle, any code change that has been pushed to the remote develop branch on your GitHub repository should be built and tested automatically. When the build and test are successful, the relevant microservice will be deployed automatically in the development environment. You want to ensure that all code deployed in the development environment follows this process. What should you do?
- A. Create a Cloud Build trigger based on the development branch to build a new container image and store it in Container Registry. Rely on Vulnerability Scanning to ensure the code tests succeed. As the final step of the Cloud Build process, deploy the new container image on the development cluster. Ensure only Cloud Build has access to deploy new versions.
- B. Install a post-commit hook on the remote git repository that tests the code and builds the container when code is pushed to the development branch. After a successful commit, have the developer deploy the newly built container image on the development cluster.
- C. Have each developer install a pre-commit hook on their workstation that tests the code and builds the container when committing on the development branch. After a successful commit, have the developer deploy the newly built container image on the development cluster.
- D. Create a Cloud Build trigger based on the development branch that tests the code, builds the container, and stores it in Container Registry. Create a deployment pipeline that watches for new images and deploys the new image on the development cluster. Ensure only the deployment tool has access to deploy new versions.
Answer: C
NEW QUESTION # 96
Your organization wants to control IAM policies for different departments independently, but centrally.
Which approach should you take?
- A. Multiple Organizations, one for each department
- B. Multiple Organizations with multiple Folders
- C. A single Organization with Folder for each department
- D. A single Organization with multiple projects, each with a central owner
Answer: C
NEW QUESTION # 97
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?
- A. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.
- B. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
- C. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
- D. Create an App Engine web application where users can upload images for the next 24 hours.
Authenticate users via Cloud Identity.
Answer: A
NEW QUESTION # 98
Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?
- A. Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.
- B. Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.
- C. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.
- D. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
Answer: B
NEW QUESTION # 99
You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly. What should you do?
- A. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
- B. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
- C. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
- D. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
Answer: D
NEW QUESTION # 100
You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly. What should you do?
- A. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.
- B. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
- C. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
- D. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
Answer: D
Explanation:
https://cloud.google.com/vpc/docs/using-firewalls
The best practice when configuration a health check is to check health and serve traffic on the same port. However, it is possible to perform health checks on one port, but serve traffic on another. If you do use two different ports, ensure that firewall rules and services running on instances are configured appropriately. If you run health checks and serve traffic on the same port, but decide to switch ports at some point, be sure to update both the backend service and the health check.
Backend services that do not have a valid global forwarding rule referencing it will not be health checked and will have no health status.
References: https://cloud.google.com/compute/docs/load-balancing/http/backend-service
NEW QUESTION # 101
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
- A. Enable code signing and a trusted binary repository integrated with your CI/CD pipeline.
- B. Run a vulnerability security scanner as part of your continuous-integration /continuous- delivery (CI/CD) pipeline.
- C. Use source code security analyzers as part of the CI/CD pipeline.
- D. Ensure you have stubs to unit test all interfaces between components.
- E. Ensure every code check-in is peer reviewed by a security SME.
Answer: B,C
Explanation:
https://docs.microsoft.com/en-us/vsts/articles/security-validation-cicd-pipeline?view=vsts
NEW QUESTION # 102
You need to design a solution for global load balancing based on the URL path being requested. You need to ensure operations reliability and end-to-end in-transit encryption based on Google best practices.
What should you do?
- A. Create a cross-region load balancer with URL Maps.
- B. Create a global forwarding rule. Configure SSL proxy balancing.
- C. Create appropriate instance groups and instances. Configure SSL proxy load balancing.
- D. Create an HTTPS load balancer with URL maps.
Answer: D
Explanation:
Reference:
https://cloud.google.com/load-balancing/docs/https/url-map
NEW QUESTION # 103
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet.
What should you do?
- A. Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on-premises database.
- B. Deploy your application on App Engine flexible environment and use App Engine firewall rules to limit access to the on-premises database.
- C. Deploy your application on App Engine standard environment and use Cloud VPN to limit access to the on-premises database.
- D. Deploy your application on App Engine standard environment and use App Engine firewall rules to limit access to the open on-premises database.
Answer: A
NEW QUESTION # 104
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers
- A. Cloud Deployment Manager uses Python.
- B. Cloud Deployment Manager is unfamiliar to the company's engineers.
- C. Cloud Deployment Manager requires a Google APIs service account to run.
- D. Cloud Deployment Manager APIs could be deprecated in the future.
- E. Cloud Deployment Manager only supports automation of Google Cloud resources.
- F. Cloud Deployment Manager can be used to permanently delete cloud resources.
Answer: B,E
Explanation:
Explanation
https://cloud.google.com/deployment-manager/docs/deployments/deleting-deployments
NEW QUESTION # 105
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?
- A. Install the bq component for gccloud with the command gcloud components install bq.
- B. Run your script on a new virtual machine with the BigQuery access scope enabled
- C. Create a new service account with BigQuery access and execute your script with that user
- D. Install the latest BigQuery API client library for Python
Answer: B
Explanation:
Explanation
https://cloud.google.com/compute/docs/access/service-accounts
NEW QUESTION # 106
Case Study: 6 - TerramEarth
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week.
Support the dealer network with more data on how their customers use their equipment to better
position new products and services
Have the ability to partner with different companies - especially with seed and fertilizer suppliers
in the fast-growing agricultural business - to create compelling joint offerings for their customers.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east
coast.
Create a backup strategy.
Increase security of data transfer from equipment to the datacenter.
Improve data in the data warehouse.
Use customer and equipment data to anticipate customer needs.
Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2
- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs
- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server
- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?
- A. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and Action: "Delete".
- B. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and Action: "Delete".
- C. Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and Action: "Set to Coldline".
- D. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and Action: "Set to Nearline".
Answer: A
NEW QUESTION # 107
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?
- A. Reconfigure old clients to use a new endpoint for the new API.
- B. Have the old API forward traffic to the new API based on the path.
- C. Configure a new load balancer for the new version of the API.
- D. Use separate backend pools for each API path behind the load balancer.
Answer: D
Explanation:
Explanation
https://cloud.google.com/endpoints/docs/openapi/lifecycle-management
NEW QUESTION # 108
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?
- A. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
- B. Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
- C. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
- D. Google Cloud Storage, Google App Engine, Google Network Load Balancer
Answer: B
Explanation:
Topic 2, TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
* Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
* Support the dealer network with more data on how their customers use their equipment IP better position new products and services.
* Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast-growing agricultural business-to create compelling joint offerings for their customers CEO Statement We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
NEW QUESTION # 109
......
Career Opportunities
Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.
Google Professional Cloud Architect Certified Professional salary
The average salary of a Google Professional Cloud Architect Certified Expert in
- India - 25,42,327 INR
- United State - 151,247 USD
- England - 115,632 POUND
- Europe - 135,347 EURO
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