Valid Professional-Cloud-Architect Exam Dumps Ensure you a HIGH SCORE (2024) [Q63-Q86]

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Valid Professional-Cloud-Architect Exam Dumps Ensure you a HIGH SCORE (2024)

Pass Professional-Cloud-Architect Exam with Latest Questions

Google Professional-Cloud-Architect certification exam has been designed to validate the skills of cloud professionals who are interested in designing and developing solutions on Google Cloud Platform. Candidates who pass the exam will have demonstrated their expertise in designing and implementing cloud solutions that are scalable, reliable, and secure. Professional-Cloud-Architect exam covers a wide range of topics, including cloud architecture, infrastructure, security, and compliance. Candidates are required to demonstrate their knowledge of these topics by answering multiple-choice questions, case studies, and scenarios.

Google Professional-Cloud-Architect certification is an excellent way for professionals to enhance their career prospects in the cloud computing industry. It demonstrates to potential employers that the individual has the skills and knowledge required to design, develop, and manage cloud-based solutions on the Google Cloud Platform. It also helps professionals stand out from their peers and demonstrates their commitment to learning and staying up-to-date with the latest cloud computing technologies.

NO.63 For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?

Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.

Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.

Use the gcloud recommender command to list the idle virtual machine instances.

From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.

NO.64 Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?

Google Cloud Dedicated Interconnect

Google Cloud VPN connected to the data center network

A NAT and TLS translation gateway installed on-premises

A Google Compute Engine instance with a VPN server installed connected to the data center network

NO.65 Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis.
What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?

Hash all data using SHA256

Encrypt all data using elliptic curve cryptography

De-identify the data with the Cloud Data Loss Prevention API

Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers

NO.66 You need to ensure reliability for your application and operations by supporting reliable task a scheduling for compute on GCP. Leveraging Google best practices, what should you do?

Using the Cron service provided by App Engine, publishing messages directly to a message- processing utility service running on Compute Engine instances.

Using the Cron service provided by App Engine, publish messages to a Cloud Pub/Sub topic.
Subscribe to that topic using a message-processing utility service running on Compute Engine instances.

Using the Cron service provided by Google Kubernetes Engine (GKE), publish messages directly to a message-processing utility service running on Compute Engine instances.

Using the Cron service provided by GKE, publish messages to a Cloud Pub/Sub topic. Subscribe to that topic using a message-processing utility service running on Compute Engine instances.

NO.67 Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

Use the Admin Directory API to authenticate against the Active Directory domain controller.

Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.

Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.

Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the onpremises AD domain controller using Google Cloud Directory Sync.

NO.68 Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform.
Each tier (web, API, and database) scales independently of the others. Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.
How should you configure the network?

Add each tier to a different subnetwork

Set up software based firewalls on individual VMs

Add tags to each tier and set up routes to allow the desired traffic flow

Add tags to each tier and set up firewall rules to allow the desired traffic flow

NO.69 Case Study: 5 – Dress4win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder’s garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application’s rapid growth. Because of this growth and the company’s desire to innovate faster.
Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
* – MySQL 5.8
– 8 core CPUs
– 128 GB of RAM
– 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
* – Redis 3.2
– 4 core CPUs
– 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
* – Tomcat – Java
– Nginx
– 4 core CPUs
– 32 GB of RAM
20 Apache Hadoop/Spark servers:
* – Data analysis
– Real-time trending calculations
– 8 core CPUS
– 128 GB of RAM
– 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
* – 8 core CPUs
– 32GB of RAM
Miscellaneous servers:
* – Jenkins, monitoring, bastion hosts, security scanners
– 8 core CPUs
– 32GB of RAM
Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN – MySQL databases
* – 1 PB total storage; 400 TB available
NAS – image storage, logs, backups
* – 100 TB total storage; 35 TB available
Business Requirements
Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access
* Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Technical Requirements
Easily create non-production environment in the cloud.
* Implement an automation framework for provisioning resources in cloud.
* Implement a continuous deployment process for deploying applications to the on-premises
* datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
* Encrypt data on the wire and at rest.
* Support multiple private connections between the production data center and cloud
* environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
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?

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.

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.

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.

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.

NO.70 For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)

Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.

Begin packaging their game backend artifacts in container images and running them on Google Kubernetes Engine to improve the availability to scale up or down based on game activity.

Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.

Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.

Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.

NO.71 Operational parameters such as oil pressure are adjustable on each of TerramEarth’s vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field.
How can you accomplish this goal?

Have you engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically

Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically

Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically

Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically

NO.72 One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data.
How can you design your logging system to verify authenticity of your logs?

Write the log concurrently in the cloud and on premises

Use a SQL database and limit who can modify the log table

Digitally sign each timestamp and log entry and store the signature

Create a JSON dump of each log entry and store it in Google Cloud Storage

NO.73 You have created several preemptible Linux virtual machine instances using Google Compute Engine.
You want to properly shut down your application before the virtual machines are preempted. What should you do?

Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.

Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.

Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- script in the Cloud Platform Console when you create the new virtual machine instance.

Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url

NO.74 Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future. What should you do?

Deploy fewer changes to production.

Deploy smaller changes to production.

Increase the load on your test and staging environments.

Deploy changes to a small subset of users before rolling out to production.

NO.75 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.76 For this question, refer to the TerramEarth case study
You analyzed TerramEarth’s business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers’ 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?

Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.

Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.

Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

NO.77 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.78 For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?

Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.

Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.

Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.

Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.

NO.79 An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs, what should you do?

Direct them to download and install the Google StackDriver logging agent.

Send them a list of online resources about logging best practices.

Help them define their requirements and assess viable logging tools.

Help them upgrade their current tool to take advantage of any new features.

NO.80 You have been asked to select the storage system for the click-data of your company’s large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second. It must been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

Google Cloud SQL

Google Cloud Bigtable

Google Cloud Storage

Google cloud Datastore

NO.81 Case Study: 2 – TerramEarth Case Study
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.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers’ needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
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-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, 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, without
increasing the cost of carrying surplus inventory
– Support the dealer network with more data on how their customers use
their equipment IP 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
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers’ yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower 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. Unfortunately, our CEO doesn’t take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry dat

Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

Have the vehicle’ computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.

Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.

Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.

Have the vehicle’s computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.

NO.82 Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier.
Traffic should not flow between the web and the database tier. How should you configure the network?

Add each tier to a different subnetwork.

Set up software based firewalls on individual VMs.

Add tags to each tier and set up routes to allow the desired traffic flow.

Add tags to each tier and set up firewall rules to allow the desired traffic flow.

NO.83 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.84 Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation.
What should you advise?

Identify self-contained applications with external dependencies as a first move to the cloud.

Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.

Suggest moving their in-house databases to the cloud and continue serving requests to on-premise applications.

Recommend moving their message queuing servers to the cloud and continue handling requests to on- premise applications.

NO.85 A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly.
What three steps should you take to diagnose the problem? Choose 3 answers.

Delete the virtual machine (VM) and disks and create a new one

Delete the instance, attach the disk to a new VM, and investigate

Take a snapshot of the disk and connect to a new machine to investigate

Check inbound firewall rules for the network the machine is connected to

Connect the machine to another network with very simple firewall rules and investigate

Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate

NO.86 For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asi a. You want to measure success against their business and technical goals. Which metrics should you track?

Error rates for requests from Asia

Latency difference between US and Asia

Total visits, error rates, and latency from Asia

Total visits and average latency for users in Asia

The number of character sets present in the database

The benefit of obtaining the Google Professional Cloud Architect Exam Certification

Google Professional Cloud Architect certification has more useful and relevant networks that help them in setting career goals for themselves. Google Professional Cloud Architect networks provide them with the correct career guidance than non certified generally are unable to get.
Google Professional Cloud Architect Certification is distinguished among competitors. Google Professional Cloud Architect certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
Google Professional Cloud Architect Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
Google Professional Cloud Architect will be confident and stand different from others as their skills are more trained than non-certified professionals.

Professional-Cloud-Architect Exam Practice Questions prepared by Google Professionals: https://www.braindumpsit.com/Professional-Cloud-Architect_real-exam.html