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The Google Professional-Cloud-Architect Exam consists of multiple-choice and multiple-select questions that assess the candidate's ability to design and plan a cloud solution architecture, manage and provision the GCP infrastructure, and optimize the technical and business processes. Professional-Cloud-Architect exam also tests the candidate's knowledge of security and compliance issues related to GCP.

Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Certification Exam is designed to test the skills and knowledge of cloud architects who work with Google Cloud Platform. It is a globally recognized certification and is highly valued in the industry. Google Certified Professional - Cloud Architect (GCP) certification exam is intended for professionals who have experience in designing and implementing cloud solutions, and who are interested in advancing their careers in cloud architecture.

The Google Certified Professional - Cloud Architect (GCP) certification is intended for individuals who have experience working with cloud architecture and Google Cloud Platform, including cloud architects, solution architects, infrastructure architects, and cloud developers. It is also suitable for professionals who work with cloud technologies and want to enhance their knowledge and skills in designing and managing cloud solutions.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q153-Q158):

NEW QUESTION # 153
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? (Choose two.)

A. Store all state into local SSD, snapshot the persistent disks, and terminate the VM
B. Use the - -auto-delete flag on all persistent disks and terminate the VM
C. Use Google BigQuery billing export and labels to associate cost to groups
D. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM
E. Use the - -no-auto-delete flag on all persistent disks and stop the VM
F. Apply VM CPU utilization label and include it in the BigQuery billing export

Answer: C,E

NEW QUESTION # 154
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
data centers.
Database
* Oracle Database stores user profiles

* PostgreSQL database stores user credentials
-homed in US West

Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:

* 20 machines in US East Coast, each machine has:
-core CPU

Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform.
Which Google Database should they use?

A. Cloud Spanner
B. Google Cloud Datastore
C. Google Cloud SQL
D. Google BigQuery

Answer: B

Explanation:
Common workloads for Google Cloud Datastore:
User profiles

Product catalogs

Game state

References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview

NEW QUESTION # 155
Your customer is moving their corporate applications to Google Cloud Platform. The security team wants detailed visibility of all projects in the organization. You provision the Google Cloud Resource Manager and set up yourself as the org admin. What Google Cloud Identity and Access Management (Cloud IAM) roles should you give to the security team'?

A. Project owner, network admin
B. Org viewer, project viewer
C. Org viewer, project owner
D. Org admin, project browser

Answer: B

Explanation:
Explanation
https://cloud.google.com/iam/docs/using-iam-securely

NEW QUESTION # 156
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 dependencies from requirements.txt.
C. Use larger machine types for your Google Container Engine node pools.
D. Copy the source after the package dependencies (Python and pip) are installed.
E. Remove Python after running pip.

Answer: A,D

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 # 157
Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from
100 to 500,000 click-throughs per day. The link leads to a simple website that explains the promotion and collects user information and preferences. Which infrastructure should you recommend? (CHOOSE TWO)

A. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
B. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
C. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
D. Use a Google Container Engine cluster to serve the website and store data to persistent disk.

Answer: A,B

Explanation:
Reference: https://cloud.google.com/storage-options/
References: https://cloud.google.com/storage-options/

NEW QUESTION # 158
......

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