2022 Latest TestPassKing Professional-Cloud-Architect PDF Dumps and Professional-Cloud-Architect Exam Engine Free Share: https://drive.google.com/open?id=1kp4ZfXwYm84tNRQYdJ_bbm-RdlQ3Dw_v

Google Professional-Cloud-Architect Exam Dump This is exactly what our Mega Packs are about: unlimited access to multiple certification exams, Even though the pass rate is guaranteed by our reliable Google Cloud Certified Professional-Cloud-Architect exam practice vce, there is always something unexpected, Of course, our Professional-Cloud-Architect Valid Exam Cost - Google Certified Professional - Cloud Architect (GCP)study material, with serving the people as the paramount goal, provide customers whoever make a purchase for our exam training with free update for one year mainly in order to make up for what the customers have neglected in the study materials, Maybe you really want to take a valid Professional-Cloud-Architect exam cram but don't know which company you should trust.

By our three versions of Professional-Cloud-Architect study engine: the PDF, Software and APP online, we have many repeat orders in a long run, Whenyou demonstrate procedures in a screencast, Professional-Cloud-Architect Valid Exam Cost be mindful of unintentionally revealing personal or company confidential information.

Download Professional-Cloud-Architect Exam Dumps

There might also be differences in opinions on the other Professional-Cloud-Architect Test Duration questions listed here, too, Scale iterative project management from the smallest to the largest projects.

So we always hold the beliefs that customer first, which is also the Professional-Cloud-Architect Latest Test Testking regulation every staff must obey, This is exactly what our Mega Packs are about: unlimited access to multiple certification exams.

Even though the pass rate is guaranteed by our reliable Google Cloud Certified Professional-Cloud-Architect exam practice vce, there is always something unexpected, Of course, our Google Certified Professional - Cloud Architect (GCP)study material, with serving the people asthe paramount goal, provide customers whoever make a purchase for our https://www.testpassking.com/Professional-Cloud-Architect-exam-testking-pass.html exam training with free update for one year mainly in order to make up for what the customers have neglected in the study materials.

100% Pass Google First-grade Professional-Cloud-Architect Google Certified Professional - Cloud Architect (GCP) Exam Dump

Maybe you really want to take a valid Professional-Cloud-Architect exam cram but don't know which company you should trust, Besides, our company always insists on that the user experience is the main principal.

All praise and high values lead us to higher standard of Professional-Cloud-Architect practice engine, Google Professional-Cloud-Architect exam bootcamp questions can help candidates have correct directions and prevent useless effort.

Our Professional-Cloud-Architect study materials have done the right thing for you, Azure Data Engineer Collaborates With Business Stakeholders, When you are at home, you can use the windows software and the online test engine of the Professional-Cloud-Architect practice prep.

TestPassKing Exam Engine Features TestPassKing.com Exam Engine is a downloadable Professional-Cloud-Architect Training Online MS Windows application which simulates the real exam environment, We are willing to offer you the best study guide.

Download Google Certified Professional - Cloud Architect (GCP) Exam Dumps

NEW QUESTION 37
Case Study: 4 - Dress4Win case study
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.
For this question, refer to the Dress4Win case study.
Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?

A. Suggest moving their in-house databases to the cloud and continue serving requests to on- premise applications.B. Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.C. Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.D. Identify self-contained applications with external dependencies as a first move to the cloud.

Answer: D

 

NEW QUESTION 38
Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily.
You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user's perspective. What should you do?

A. Create CPU Utilization and Request Latency as service level indicators.B. Create GKE CPU Utilization and Memory Utilization as service level indicators.C. Create Server Uptime and Error Rate as service level indicators.D. Create Request Latency and Error Rate as service level indicators.

Answer: D

 

NEW QUESTION 39
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?

A. 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.B. 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.C. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.D. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.

Answer: A

 

NEW QUESTION 40
Your architecture calls for the centralized collection of all admin activity and VM system logs within your
project.
How should you collect these logs from both VMs and services?

A. Install the Stackdriver Logging agent on a single compute instance and let it collect all audit and access
logs for your environment.B. All admin and VM system logs are automatically collected by Stackdriver.C. Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent
must be installed on each instance to collect system logs.D. Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all
logs to it.

Answer: A

Explanation:
Explanation/Reference:
Reference https://cloud.google.com/logging/docs/agent/

 

NEW QUESTION 41
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. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?

A. Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.B. Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.C. Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage bucket. Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.D. Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables.
Use Pig scripts to analyze data.

Answer: A

 

NEW QUESTION 42
......

P.S. Free 2022 Google Professional-Cloud-Architect dumps are available on Google Drive shared by TestPassKing: https://drive.google.com/open?id=1kp4ZfXwYm84tNRQYdJ_bbm-RdlQ3Dw_v


>>https://www.testpassking.com/Professional-Cloud-Architect-exam-testking-pass.html