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We provide up-to-date Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) exam questions and study materials in three different formats. We have developed three variations of authentic Google Professional-Cloud-Architect exam questions to cater to different learning preferences, ensuring that all candidates can effectively prepare for the Professional-Cloud-Architect Practice Test. SurePassExams offers Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) practice questions in PDF format, browser-based practice exams, and desktop practice test software.

Google Professional-Cloud-Architect Certification Exam is a highly sought-after certification that validates the skills and expertise of professionals in designing, developing, and managing secure, scalable, and highly available cloud solutions using Google Cloud Platform (GCP). Professional-Cloud-Architect exam is intended for individuals who have a deep understanding of GCP services and can design highly scalable and reliable cloud solutions that meet the business and technical requirements of organizations.

The Professional-Cloud-Architect exam is ideal for individuals who have experience in cloud computing and want to enhance their skills in the GCP environment. Professional-Cloud-Architect exam covers a wide range of topics, including GCP services, cloud architecture, design and planning, security, and compliance. Google Certified Professional - Cloud Architect (GCP) certification also evaluates the ability to analyze and optimize business processes using GCP services, ensuring that the solutions are cost-effective and efficient. With the growing demand for cloud computing professionals in the industry, the Professional-Cloud-Architect certification is a valuable asset that can help individuals advance their career in this field.

Google Professional-Cloud-Architect exam is designed to test the skills and knowledge of individuals who work in cloud architecture. Professional-Cloud-Architect exam is part of the Google Certified Professional - Cloud Architect (GCP) certification, which is recognized as a valuable qualification in the cloud computing industry. Professional-Cloud-Architect exam is designed to evaluate the candidate's ability to design and implement cloud solutions that meet the needs of businesses and organizations.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q267-Q272):

NEW QUESTION # 267
Your company is developing a new application that will allow globally distributed users to upload pictures and share them with other selected users. The application will support millions of concurrent users. You want to allow developers to focus on just building code without having to create and maintain the underlying infrastructure. Which service should you use to deploy the application?

A. App Engine
B. Google Kubernetes Engine
C. Cloud Endpoints
D. Compute Engine

Answer: A

Explanation:
Reference: https://cloud.google.com/terms/services

NEW QUESTION # 268
Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Google-recommended practices. What should you do?

A. Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.
B. Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.
C. Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud Storage.
D. Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.

Answer: A

Explanation:
https://cloud.google.com/solutions/transferring-big-data-sets-to-gcp

NEW QUESTION # 269
For this question, refer to the Mountkirk Games case study.
Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way.
How should you design the process?

A. Create a scalable environment in GCP for simulating production load.
B. Build stress tests into each component of your application using resources internal to GCP to simulate load.
C. Create a set of static environments in GCP to test different levels of load - for example, high, medium, and low.
D. Use the existing infrastructure to test the GCP-based backend at scale.

Answer: A

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 # 270
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?

A. Google Container Engine with Bigtable
B. Google Cloud Dataflow
C. Google Compute Engine with Google BigQuery
D. Google Cloud Dataproc

Answer: B

Explanation:
Dataflow is for processing both the Batch and Stream.

NEW QUESTION # 271
A development team at your company has created a dockerized HTTPS web application. You need to deploy the application on Google Kubernetes Engine (GKE) and make sure that the application scales automatically.
How should you deploy to GKE?

A. Use the Horizontal Pod Autoscaler and enable cluster autoscaling. Use an Ingress resource to load- balance the HTTPS traffic.
B. Enable autoscaling on the Compute Engine instance group. Use an Ingress resource to load balance the HTTPS traffic.
C. Use the Horizontal Pod Autoscaler and enable cluster autoscaling on the Kubernetes cluster. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.
D. Enable autoscaling on the Compute Engine instance group. Use a Service resource of type LoadBalancer to load-balance the HTTPS traffic.

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-autoscaler

NEW QUESTION # 272
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