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Professional-Cloud-Architect Test Pattern｜100% Pass｜Real Questions

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Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Certification Exam is designed to validate the skills and knowledge of professionals who are responsible for designing, developing, and managing solutions on Google Cloud Platform. Google Certified Professional - Cloud Architect (GCP) certification exam is intended for individuals who have hands-on experience with GCP and are proficient in designing, developing, and managing applications and services on the Google Cloud Platform.

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Google Professional-Cloud-Architect certification is highly valued in the industry and is recognized by many organizations as a standard for cloud architects. Google Certified Professional - Cloud Architect (GCP) certification validates the skills of an individual in designing, developing, and managing solutions using Google Cloud technologies. It also demonstrates the candidate's ability to design solutions that are highly available, scalable, and secure.

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.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q265-Q270):

NEW QUESTION # 265
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. Run a vulnerability security scanner as part of your continuous-integration /continuous- delivery (CI/CD) pipeline.
B. Ensure every code check-in is peer reviewed by a security SME.
C. Enable code signing and a trusted binary repository integrated with your CI/CD pipeline.
D. Use source code security analyzers as part of the CI/CD pipeline.
E. Ensure you have stubs to unit test all interfaces between components.

Answer: B,E

NEW QUESTION # 266
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?

A. Use the identifiers to create a query filter and run a batch query operation
B. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
C. Create the Key object for each Entity and run multiple get operations, one operation for each entity
D. Create the Key object for each Entity and run a batch get operation

Answer: D

Explanation:
Explanation
https://cloud.google.com/datastore/docs/concepts/entities#datastore-datastore-batch-upsert-nodejs

NEW QUESTION # 267
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers

A. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
B. Create a separate Google Cloud project to use for the load-testing environment.
C. Instrument the production services to record every transaction for replay by the load- testing tool.
D. Ensure that the load tests validate the performance of Cloud Bigtable.
E. Schedule the load-testing tool to regularly run against the production environment.
F. Ensure all third-party systems your services use are capable of handling high load.

Answer: A,D,F

NEW QUESTION # 268
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center.
How should he proceed?

A. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
B. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
C. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
D. Create a cron script using gsutil to copy the files to a Regional Storage bucket.

Answer: A

Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
When transferring data from an on-premises location, use gsutil.
When transferring data from another cloud storage provider, use Storage Transfer Service.
Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate

NEW QUESTION # 269
For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

A. Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.
B. Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.
C. Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.
D. Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

Answer: D

Explanation:
Topic 5, TerramEarth Case 2
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.

NEW QUESTION # 270
......

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