Mar-2024 Google Professional-Cloud-Architect Certification Real 2024 Mock Exam [Q126-Q142]

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Mar-2024 Google Professional-Cloud-Architect Certification Real 2024 Mock Exam

Professional-Cloud-Architect Exam Questions and Valid PMP Dumps PDF

Google Professional-Cloud-Architect certification is a highly respected and recognized certification in the cloud computing industry. It validates the skills and knowledge of cloud architects who can design, develop, and manage solutions on the Google Cloud Platform. Professionals who pass this certification exam can demonstrate their ability to design and manage solutions that meet the business needs of their clients.

Preparation Process

The official website offers the candidates a wide range of training tools that they can use to build the required knowledge base for the qualifying test. The first step in your preparation must be a thorough review of the exam guide. This document contains a complete list of topics as well as case studies that may be included in the test. The familiarity with the exam topics will also help you assess the scope of work and structure the preparation process. Then, you can proceed with the Professional Cloud Architect learning path. This preparation option offers you online training, in-person classes, and hands-on labs to fully equip you for the upcoming certification exam. Besides that, the applicants can get an insight into the question formats and example content that may be covered in the test using the official sample questions. Additionally, the learners can enhance their knowledge of the exam topics by attending the dedicated webinar or exploring Google Cloud documentation.

Google Professional-Cloud-Architect exam is a certification program designed for IT professionals who have experience in designing and managing cloud solutions using Google Cloud Platform (GCP). Google Certified Professional – Cloud Architect (GCP) certification validates the knowledge and skills required to design, develop, and manage cloud solutions using GCP technologies. It is intended for individuals who are looking to advance their careers in cloud architecture and demonstrate their expertise in Google Cloud technologies.

NO.126 Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small
services that they want to be able to update and roll back quickly. Mountkirk Games has the following
requirements:
Services are deployed redundantly across multiple regions in the US and Europe

Only frontend services are exposed on the public internet

They can provide a single frontend IP for their fleet of services

Deployment artifacts are immutable

Which set of products should they use?

Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine

Google Cloud Storage, Google App Engine, Google Network Load Balancer

Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer

Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

NO.127 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?

Load data into Google BigQuery.

Insert data into Google Cloud SQL.

Put flat files into Google Cloud Storage.

Stream data into Google Cloud Datastore.

NO.128 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 2 answers

Use the –no-auto-delete flag on all persistent disks and stop the VM.

Use the -auto-delete flag on all persistent disks and terminate the VM.

Apply VM CPU utilization label and include it in the BigQuery billing export.

Use Google BigQuery billing export and labels to associate cost to groups.

Store all state into local SSD, snapshot the persistent disks, and terminate the VM.

Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.

NO.129 You are using a single Cloud SQL instance to serve your application from a specific zone. You want to introduce high availability. What should you do?

Create a read replica instance in a different region

Create a failover replica instance in a different region

Create a read replica instance in the same region, but in a different zone

Create a failover replica instance in the same region, but in a different zone

NO.130 For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?

Vehicles write data directly to GCS.

Vehicles write data directly to Google Cloud Pub/Sub.

Vehicles stream data directly to Google BigQuery.

Vehicles continue to write data using the existing system (FTP).

NO.131 JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data.
What service account key-management strategy should you recommend?

Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs)

Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs

Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs

Deploy a custom authentication service on GCE/Google Kubernetes Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs

NO.132 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 two.)

Remove Python after running pip

Remove dependencies from requirements.txt

Use a slimmed-down base image like Alpine Linux

Use larger machine types for your Google Container Engine node pools

Copy the source after he package dependencies (Python and pip) are installed

NO.133 You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

~/bin

Cloud Storage

/google/scripts

/usr/local/bin

NO.134 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?

Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.

Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.

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.

Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.

NO.135 Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.
What strategy should you take?

Work with your ISP to diagnose the problem.

Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application.

Roll back to an earlier known good release initially, then use Stackdriver Trace and logging to diagnose the problem in a development/test/staging environment.

Roll back to an earlier known good release, then push the release again at a quieter period to investigate.
Then use Stackdriver Trace and logging to diagnose the problem.

NO.136 You have an App Engine application that needs to be updated. You want to test the update with production traffic before replacing the current application version.
What should you do?

Deploy the update using the Instance Group Updater to create a partial rollout, which allows for canary testing.

Deploy the update as a new version in the App Engine application, and split traffic between the new and current versions.

Deploy the update in a new VPC, and use Google’s global HTTP load balancing to split traffic between the update and current applications.

Deploy the update as a new App Engine application, and use Google’s global HTTP load balancing to split traffic between the new and current applications.

NO.137 Your company’s user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a
99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?

Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.

Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce “chaos” to the system by terminating random resources on both zones.

Expose the new system to a larger group of users, and increase group ‘ size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.

Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.

NO.138 For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.

Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.

Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

NO.139 You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Create a mysqldump of the on-premises MySQL server.
4. Upload the dump to a Cloud Storage bucket.
5. Import the dump into Cloud SQL.
6. Modify the source code of the application to write queries to both databases and read from its local database.
7. Start the Compute Engine application.
8. Stop the on-premises application.

1. Set up Cloud SQL proxy and MySQL proxy.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Stop the on-premises application.
6. Start the Compute Engine application.

1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4. Create the replication configuration in Cloud SQL.
5. Configure the source database server to accept connections from the Cloud SQL replica.
6. Finalize the Cloud SQL replica configuration.
7. When replication has been completed, stop the Compute Engine application.
8. Promote the Cloud SQL replica to a standalone instance.
9. Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.

1. Stop the on-premises application.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Start the application on Compute Engine.

NO.140 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.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources. What Google domain and project structure should you recommend?

Create two G Suite accounts to manage users: one for development/test/staging and one for production. Each account should contain one project for every application.

Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.

Create a single G Suite account to manage users with each stage of each application in its own project.

Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.

NO.141 You need to deploy an application to Google Cloud. The application receives traffic via TCP and reads and writes data to the filesystem. The application does not support horizontal scaling. The application process requires full control over the data on the file system because concurrent access causes corruption. The business is willing to accept a downtime when an incident occurs, but the application must be available 24/7 to support their business operations. You need to design the architecture of this application on Google Cloud.
What should you do?

Use a managed instance group with instances in multiple zones, use Cloud Filestore, and use an HTTP load balancer in front of the instances.

Use a managed instance group with instances in multiple zones, use Cloud Filestore, and use a network load balancer in front of the instances.

Use an unmanaged instance group with an active and standby instance in different zones, use a regional persistent disk, and use an HTTP load balancer in front of the instances.

Use an unmanaged instance group with an active and standby instance in different zones, use a regional persistent disk, and use a network load balancer in front of the instances.

NO.142 You are designing a mobile chat application. You want to ensure people cannot spoof chat messages, by providing a message were sent by a specific user.
What should you do

Tag messages client side with the originating user identifier and the destination user.

Encrypt the message client side using block-based encryption with a shared key.

Use public key infrastructure (PKI) to encrypt the message client side using the originating user’s private key.

Use a trusted certificate authority to enable SSL connectivity between the client application and the server.

Professional-Cloud-Architect Question Bank: Free PDF Download Recently Updated Questions: https://www.testbraindump.com/Professional-Cloud-Architect-exam-prep.html

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