Professional-Cloud-Architect exam braindumps: Google Certified Professional - Cloud Architect (GCP) & Professional-Cloud-Architect study guide

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The Google Certified Professional - Cloud Architect (GCP) certification is valid for two years and can be renewed by passing the current version of the Professional-Cloud-Architect exam. In addition to demonstrating expertise in GCP, the certification also demonstrates the candidate's ability to work with cloud technologies and solutions in general, making it a valuable asset for IT professionals who work in cloud-related fields.

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.

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Google Professional-Cloud-Architect Exam is a certification that validates the skills and knowledge required to design, develop, and manage robust, secure, scalable, and highly available cloud solutions using Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is intended for individuals who have a deep understanding of cloud architecture principles and best practices and can apply them to designing and managing cloud solutions that meet business and technical requirements.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q221-Q226):

NEW QUESTION # 221
Your product learn is building a critical, customer-facing application on Google Cloud The development team wants to use Spanner for their database to take advantage of its horizontal scalability and low operational overhead However, the FinOps team is concerned about the direct monthly cost of Spanner and proposed using a self-managed PostgreSQL database on Compute Engine VMs instead. You need to resolve this conflict and ensure the project moves forward with an architecturally sound database choice that balances technical requirements with financial constraints. What should you do?

A. Develop a total cost of ownership (TCO) analysis that includes operational overhead, and present it m a workshop to facilitate a decision.
B. Suggest using Cloud SQL for PostgreSQL as a compromise to get a managed service at a lower cost than Spanner.
C. Cite the reliability and performance optimization pillars of the Google Cloud Well-Architected Framework to formally justify the use of Spanner.
D. Provide the development team with a reference architecture for deploying a highly available PostgreSQL cluster on a regional managed instance group (MIG).

Answer: A

Explanation:
This question highlights the classic conflict between Sticker Price (direct cost) and Operational Expense (OpEx). While a Compute Engine VM running PostgreSQL (Option C) looks cheaper on a monthly bill, it ignores the cost of human labor. A Total Cost of Ownership (TCO) analysis (Option B) is the professional architectural approach to resolve this. It accounts for the salary of DBAs required to manage sharding, patching, and manual failovers-tasks that Spanner handles automatically. For a " critical, customer-facing application " requiring horizontal scale, the TCO will almost always show that Spanner is cheaper in the long run because it reduces the " 900-hour time sink " of manual database maintenance.

NEW QUESTION # 222
You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customer's wait time for parts. You decided to focus on reduction of the
3 weeks aggregate reporting time.
Which modifications to the company's processes should you recommend?

A. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics
B. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor
C. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics
D. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics

Answer: A

Explanation:
The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.
Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.
Reference: https://cloud.google.com/storage/docs/streaming
https://cloud.google.com/bigquery/docs/loading-data

NEW QUESTION # 223
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?

A. Load data into Google BigQuery
B. Stream data into Google Cloud Datastore
C. Put flat files into Google Cloud Storage
D. Insert data into Google Cloud SQL

Answer: A

Explanation:
Explanation
Explanation:
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
Reference: https://cloud.google.com/bigquery/

NEW QUESTION # 224
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. Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent must be installed on each instance to collect system logs.
C. Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all logs to it.
D. All admin and VM system logs are automatically collected by Stackdriver.

Answer: B

NEW QUESTION # 225
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

A. Use a slimmed-down base image like Alpine linux.
B. Remove Python after running pip.
C. Use larger machine types for your Google Container Engine node pools.
D. Remove dependencies from requirements.txt.
E. Copy the source after the package dependencies (Python and pip) are installed.

Answer: A,E

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 # 226
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