Professional-Cloud-Architect Valid Test Papers - Professional-Cloud-Architect Training Kit

BTW, DOWNLOAD part of Lead1Pass Professional-Cloud-Architect dumps from Cloud Storage: https://drive.google.com/open?id=1OAAsMu57n8r_h4mVZf-YafQtAUxQmz63

As you know, the low-quality latest Professional-Cloud-Architect exam torrent may do harmful influence on you which may causes results past redemption. Whether you have experienced that problem or not was history by now. The free demos do honor to the perfection of our latest Professional-Cloud-Architect exam torrent, and also a performance of our considerate after sales services. Those demos serve as epitomes of real Professional-Cloud-Architect Quiz guides for your reference. In our demos, some examples or question points were enumerated as some representatives of our Professional-Cloud-Architect test prep. How convenient and awesome of it!

Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Designing and planning a cloud solution architecture- Enabling future cloud technology
  • 1. Implementing future-proof architectures
  • 2. Designing for scalability and elasticity
- Creating a migration plan
  • 1. Refactoring and rearchitecting applications
  • 2. Planning data migration
  • 3. Identifying workloads for migration
- Designing network, storage, and compute resources
  • 1. Compute engine selection and configuration
  • 2. Network design including load balancing and firewall rules
  • 3. Storage options and data lifecycle management
  • 4. GKE cluster and workload design
- Designing solution infrastructure that meets business requirements
  • 1. Cost optimization
  • 2. Integration with existing systems
  • 3. Data and storage architecture
  • 4. Migration planning
  • 5. Business use cases and product strategy
  • 6. Networking and compute resources
Managing implementation- Advising development/operation team(s) to ensure successful deployment
  • 1. Testing and validation
  • 2. Deployment strategies
  • 3. Application development best practices
- Interacting with Google Cloud programmatically
  • 1. APIs and client libraries
  • 2. Cloud SDK and gcloud CLI
  • 3. Infrastructure as Code (IaC)
Analyzing and optimizing technical and business processes- Analyzing and defining business processes
  • 1. Cost management and optimization
  • 2. Business KPIs and metrics
  • 3. Stakeholder communication
- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. Software development lifecycle (SDLC)
  • 3. CI/CD pipeline design
Designing for security and compliance- Designing for compliance
  • 1. Data residency and sovereignty
  • 2. Regulatory and compliance requirements
  • 3. Audit logging and monitoring
- Designing for security
  • 1. Application security
  • 2. Network security
  • 3. Identity and Access Management (IAM)
  • 4. Data security and encryption
Ensuring solution and operations reliability- Assisting with support
  • 1. Capacity planning and scaling
  • 2. Incident response and troubleshooting
- Evaluating quality control measures
- Monitoring/logging/profiling/alerting solution
  • 1. Performance profiling and tracing
  • 2. Cloud Monitoring and Cloud Logging
  • 3. Error reporting and alerting
- Deployment and release management
  • 1. Release management and versioning
  • 2. Deployment strategies and rollback
Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. Private access and VPN configuration
  • 2. VPC design and peering
  • 3. Hybrid and multi-cloud connectivity
- Configuring individual storage systems
  • 1. Cloud SQL and Spanner
  • 2. Datastore and Bigtable
  • 3. Cloud Storage configuration
- Configuring compute systems
  • 1. Cloud Run and Cloud Functions
  • 2. GKE configuration and management
  • 3. Compute Engine configuration

>> Professional-Cloud-Architect Valid Test Papers <<

Trustworthy Professional-Cloud-Architect Valid Test Papers & Latest Updated Professional-Cloud-Architect Training Kit & High Pass-Rate Google Google Certified Professional - Cloud Architect (GCP)

The aim of Lead1Pass is to support you in passing the Google Professional-Cloud-Architect certification exam. Lead1Pass present actual Google Professional-Cloud-Architect practice test questions for you. The world's skilled professionals share their best knowledge with Lead1Pass and create this set of actual Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q53-Q58):

NEW QUESTION # 53
You are working at a sports association whose members range in age from 8 to 30. The association collects a large amount of health data, such as sustained injuries. You are storing this data in BigQuery. Current legislation requires you to delete such information upon request of the subject. You want to design a solution that can accommodate such a request. What should you do?

Answer: D

Explanation:
A is the correct answer because it is easier to operate. The question is not how to mask data and so on but just to delete data on request, so I don't think that we have to use for just the deletion of specific data DLP.


NEW QUESTION # 54
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.
To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

Answer: D

Explanation:
Enable a bucket lifecycle management rule to delete objects older than 36 months. Use partitioned tables in BigQuery and set the partition expiration period to 36 months. is the right answer.
When you create a table partitioned by ingestion time, BigQuery automatically loads data into daily, date-based partitions that reflect the data's ingestion or arrival time.
Ref: https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time And Google recommends you configure the default table expiration for your datasets, configure the expiration time for your tables, and configure the partition expiration for partitioned tables.
Ref: https://cloud.google.com/bigquery/docs/best-practices-
storage#use_the_expiration_settings_to_remove_unneeded_tables_and_partitions If the partitioned table has a table expiration configured, all the partitions in it are deleted according to the table expiration settings. For our specific requirement, we could set the partition expiration to 36 months so that partitions older than 36 months (and the data within) are automatically deleted.
Ref: https://cloud.google.com/bigquery/docs/managing-partitioned-tables#partition-expiration


NEW QUESTION # 55
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?

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 # 56
One of the developers on your team deployed their application In Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality. Which two actions should you take? Choose 2 answers

Answer: B,C

Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/


NEW QUESTION # 57
Your company operates nationally and plans to use GCP for multiple batch workloads, including some that are not time-critical. You also need to use GCP services that are HIPAA-certified and manage service costs.
How should you design to meet Google best practices?

Answer: B

Explanation:
Reference:
https://cloud.google.com/security/compliance/hipaa/


NEW QUESTION # 58
......

Once you decide to pass the Google Certified Professional - Cloud Architect (GCP) exam and get the certification, you may encounter many handicaps that you don’t know how to deal with, so, you may think that it is difficult to pass the exam and get the certification. In order to help you solve these problem and help you pass the exam easy, we complied such a Professional-Cloud-Architect exam torrent. We can promise that you will have no regret buying our Google Certified Professional - Cloud Architect (GCP) exam dumps. If you are hesitating to buy our Professional-Cloud-Architect Test Quiz, if you are anxious about whether our product is suitable for you or not, we think you can download the trail version. We believe our Google Certified Professional - Cloud Architect (GCP) exam dumps will help you make progress and improve yourself.

Professional-Cloud-Architect Training Kit: https://www.lead1pass.com/Google/Professional-Cloud-Architect-practice-exam-dumps.html

DOWNLOAD the newest Lead1Pass Professional-Cloud-Architect PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1OAAsMu57n8r_h4mVZf-YafQtAUxQmz63