over 1 year her

BONUS!!! Download part of RealVCE Professional-Cloud-Architect dumps for free: https://drive.google.com/open?id=1eIJaFIQk7OcukE7jPwsljHKaCio3hMG5 At present, Google certification exam is the most popular test. Have you obtained Google exam certificate? For example, have you taken Google Professional-Cloud-Architect certification exam？If not, you should take action as soon as possible. The certificate is very important, so you must get Professional-Cloud-Architect certificate. Here I would like to tell you how to effectively prepare for Google Professional-Cloud-Architect exam and pass the test first time to get the certificate.

Google Professional-Cloud-Architect Exam Syllabus Topics:

Topic	Details
Topic 1	Cloud Native Networking (VPC, Peering, Firewalls, Container Networking) Identification of Data Processing Pipeline
Topic 2	Designing a Solution Infrastructure that Meets Technical Requirements High Availability and Failover Design
Topic 3	Designing for Security and Compliance Resource Hierarchy (organizations, folders, projects) Managing Customer-Supplied Encryption Keys with Cloud KMS
Topic 4	Managing and Provisioning Solution Infrastructure Configuring Network Topologies, Extending to on-Premise|Extending to a Multi-Cloud Environment Which May Include GCP to GCP Communication Configuring Individual Storage Systems
Topic 5	Managing Implementation Ensuring Solution and Operations Reliability Deployment and Release Management
Topic 6	Creating a Migration Plan (i.e., documents and architectural diagrams) Integrating Solution with Existing Systems
Topic 7	Analyzing and Pptimizing Technical and Business Processes Analyzing and Defining Technical Processes, Software Development Lifecycle Plan
Topic 8	Designing Network, Storage, and Compute Resources Integration with on Premises Multi-Cloud Environments
Topic 9	Data Processing Compute Provisioning Network Configuration for Data Transfer and Latency Data Growth Management

Google Professional Cloud Architect Certified Professional salary

The average salary of a Google Professional Cloud Architect Certified Expert in

• England - 115,632 POUND
• United State - 151,247 USD
• Europe - 135,347 EURO
• India - 25,42,327 INR

>> Professional-Cloud-Architect Guaranteed Questions Answers <<

Study Professional-Cloud-Architect Test - Download Professional-Cloud-Architect Fee

We should admit that gaining the Professional-Cloud-Architect test certification will bring your some benefits. You may get a good opportunity in the job interview due to your Google Professional-Cloud-Architect exam certification. You may have a promotion in your present job and get a considerable salary. So, no matter how difficult it is, many IT candidates still choose to take the Professional-Cloud-Architect exam test. RealVCE Google latest practice exam test may contribute to your Professional-Cloud-Architect Exam Preparation. We have three different versions for you to choose, the PDF, PC Test Engine, Online Test Engine. You can choose the proper version according to your actual condition. Google Professional-Cloud-Architect exam torrents are valid and useful which can ensure you 100% pass in the actual test.

Google Professional Cloud Architect Prerequisites

There are no official prerequisites for taking the Professional Cloud Architect exam, except passing a single qualifying exam. However, it is recommended that the candidates have about three years of practical experience, including one year of designing and managing solutions with the help of Google Cloud Platform.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q136-Q141):

NEW QUESTION # 136
You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. What should you do?

• A. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
• B. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
• C. Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
• D. Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.

Answer: D Explanation:
Reference: https://cloud.google.com/monitoring/charts/dashboards
NEW QUESTION # 137
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 can be used to permanently delete cloud resources
• B. Cloud Deployment Manager is unfamiliar to the company's engineers
• C. Cloud Deployment Manager APIs could be deprecated in the future
• D. Cloud Deployment Manager requires a Google APIs service account to run
• E. Cloud Deployment Manager uses Python
• F. Cloud Deployment Manager only supports automation of Google Cloud resources

Answer: C,F Explanation:
Explanation/Reference:
NEW QUESTION # 138
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future. What should you do?

• A. Create snapshots of your database more regularly.
• B. Use a different database.
• C. Choose larger instances for your database.
• D. Implement routinely scheduled failovers of your databases.

Answer: D Explanation:
https://cloud.google.com/solutions/disaster-recovery-cookbook
NEW QUESTION # 139
Case Study: 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.
For this question, refer to the TerramEarth case study. TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry dat

• A. Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
• B. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
• C. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
• D. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
• E. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

Answer: B Explanation:
Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per- operation costs. For example:
Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.
Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 140
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth.
Considering the TerramEarth business and technical requirements, what should you do?

• A. Replace the existing data warehouse with BigQuery. Use table partitioning.
• B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
• C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine preemptible instance with 32 CPUs.
• D. Replace the existing data warehouse with BigQuery. Use federated data sources.

Answer: D
NEW QUESTION # 141
...... Study Professional-Cloud-Architect Test: https://www.realvce.com/Professional-Cloud-Architect_free-dumps.html P.S. Free & New Professional-Cloud-Architect dumps are available on Google Drive shared by RealVCE: https://drive.google.com/open?id=1eIJaFIQk7OcukE7jPwsljHKaCio3hMG5