Google Professional-Cloud-Architect Daily Practice Exam New 2024 Updated 282 Questions [Q35-Q58]

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Google Professional-Cloud-Architect Daily Practice Exam New 2024 Updated 282 Questions

Use Valid Professional-Cloud-Architect Exam – Actual Exam Question & Answer

Google Professional-Cloud-Architect certification is highly regarded in the industry and is recognized by many organizations. It is a valuable certification for professionals who want to advance their career in cloud architecture. Google Certified Professional – Cloud Architect (GCP) certification is also a testament to the candidate’s expertise in GCP and their ability to design and implement solutions that meet the needs of organizations.

QUESTION 35
For this question, refer to the Mountkirk Games case study.
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

QUESTION 36
You have found an error in your App Engine application caused by missing Cloud Datastore indexes. You have created a YAML file with the required indexes and want to deploy these new indexes to Cloud Datastore. What should you do?

Point gcloud datastore create-indexes to your configuration file

Upload the configuration file the App Engine’s default Cloud Storage bucket, and have App Engine detect the new indexes

In the GCP Console, use Datastore Admin to delete the current indexes and upload the new configuration file

Create an HTTP request to the built-in python module to send the index configuration file to your application

QUESTION 37
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

Cloud Deployment Manager uses Python.

Cloud Deployment Manager APIs could be deprecated in the future.

Cloud Deployment Manager is unfamiliar to the company’s engineers.

Cloud Deployment Manager requires a Google APIs service account to run.

Cloud Deployment Manager can be used to permanently delete cloud resources.

Cloud Deployment Manager only supports automation of Google Cloud resources.

QUESTION 38
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?

Grant the security team access to the logs in each Project.

Configure Stackdriver Monitoring for all Projects, and export to BigQuery.

Configure Stackdriver Monitoring for all Projects with the default retention policies.

Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.

QUESTION 39
Your team will start developing a new application using microservices architecture on Kubernetes Engine. As part of the development lifecycle, any code change that has been pushed to the remote develop branch on your GitHub repository should be built and tested automatically. When the build and test are successful, the relevant microservice will be deployed automatically in the development environment. You want to ensure that all code deployed in the development environment follows this process. What should you do?

Have each developer install a pre-commit hook on their workstation that tests the code and builds the container when committing on the development branch. After a successful commit, have the developer deploy the newly built container image on the development cluster.

Install a post-commit hook on the remote git repository that tests the code and builds the container when code is pushed to the development branch. After a successful commit, have the developer deploy the newly built container image on the development cluster.

Create a Cloud Build trigger based on the development branch that tests the code, builds the container, and stores it in Container Registry. Create a deployment pipeline that watches for new images and deploys the new image on the development cluster. Ensure only the deployment tool has access to deploy new versions.

Create a Cloud Build trigger based on the development branch to build a new container image and store it in Container Registry. Rely on Vulnerability Scanning to ensure the code tests succeed. As the final step of the Cloud Build process, deploy the new container image on the development cluster. Ensure only Cloud Build has access to deploy new versions.

QUESTION 40
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?

Use the Linux dd and netcat command to copy and stream the root disk contents to a new virtual machine instance in the US-East region.

Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.

Create an image file from the root disk with Linux dd command, create a new disk from the image file, and use it to create a new virtual machine instance in the US-East region

Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file for the root disk.

QUESTION 41
Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily.
You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user’s perspective. What should you do?

Create CPU Utilization and Request Latency as service level indicators.

Create GKE CPU Utilization and Memory Utilization as service level indicators.

Create Request Latency and Error Rate as service level indicators.

Create Server Uptime and Error Rate as service level indicators.

QUESTION 42
Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model’s results over time?

Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.

Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.

Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.

Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.

QUESTION 43
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.

QUESTION 44
Your web application must comply with the requirements of the European Union’s General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides “pass-on” compliance when you use native features.

Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.

Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.

Define a design for the security of data in your web application that meets GDPR requirements.

QUESTION 45
Your agricultural division is experimenting with fully autonomous vehicles.
You want your architecture to promote strong security during vehicle operation.
Which two architecture should you consider?
Choose 2 answers:

Treat every micro service call between modules on the vehicle as untrusted.

Require IPv6 for connectivity to ensure a secure address space.

Use a trusted platform module (TPM) and verify firmware and binaries on boot.

Use a functional programming language to isolate code execution cycles.

Use multiple connectivity subsystems for redundancy.

Enclose the vehicle’s drive electronics in a Faraday cage to isolate chips.

QUESTION 46
You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload.
What should you do?

Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the GCP Console.

Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed instance group for the cluster using the gcloud command.

Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.

Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the cluster managed instance group from the GCP Console.

QUESTION 47
Your company has a Google Workspace account and Google Cloud Organization Some developers in the company have created Google Cloud projects outside of the Google Cloud Organization You want to create an Organization structure that allows developers to create projects, but prevents them from modifying production projects You want to manage policies for all projects centrally and be able to set more restrictive policies for production projects You want to minimize disruption to users and developers when business needs change in the future You want to follow Google-recommended practices How should you design the Organization structure?

1 Create a second Google Workspace account and Organization
2 Grant all developers the Project Creator IAM role on the new Organization
3 Move the developer projects into the new Organization
4 Set the policies for all projects on both Organizations.
5 Additionally set the production policies on the original Organization

1 Create a folder under the Organization resource named “Production ‘
2 Grant all developers the Project Creator IAM role on the Organization 3. Move the developer projects into the Organization
4 Set the policies for all projects on the Organization
5 Additionally set the production policies on the ‘Production” folder

1 Create folders under the Organization resource named “Development” and Production’
2 Grant all developers the Project Creator IAM role on the “”Development1 folder 3. Move the developer projects into the “Development” folder
4 Set the policies for all projects on the Organization
5 Additionally set the production policies on the “Production” folder

1 Designate the Organization for production projects only
2 Ensure that developers do not have the Project Creator IAM role on the Organization
3 Create development projects outside of the Organization using the developer Google Workspace accounts
4 Set the policies for all projects on the Organization
5 Additionally set the production policies on the individual production projects

QUESTION 48
You want to automate the creation of a managed instance group and a startup script to install the OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?

Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.

Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.

Use Puppet to create the managed instance group and install the OS package dependencies.

Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.

QUESTION 49
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize
operations. They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and
live-processing some data as it comes in.
Which technology should they use for this?

Google Cloud Dataproc

Google Cloud Dataflow

Google Container Engine with Bigtable

Google Compute Engine with Google BigQuery

QUESTION 50
You want to automate the creation of a managed instance group. The VMs have many OS package dependencies. You want to minimize the startup time for new VMs in the instance group.
What should you do?

Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.

Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.

Use Puppet to create the managed instance group and install the OS package dependencies.

Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.

QUESTION 51
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?

All admin and VM system logs are automatically collected by Stackdriver.

Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent must be installed on each instance to collect system logs.

Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all logs to it.

Install the Stackdriver Logging agent on a single compute instance and let it collect all audit and access logs for your environment.

QUESTION 52
For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.
What should you do?

Use Stackdriver Trace to create a trace list analysis.

Use Stackdriver Monitoring to create a dashboard on the project’s activity.

Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.

QUESTION 53
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth.
Considering the TerramEarth business and technical requirements, what should you do?

Replace the existing data warehouse with BigQuery. Use table partitioning.

Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.

Replace the existing data warehouse with BigQuery. Use federated data sources.

Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine preemptible instance with 32 CPUs.

QUESTION 54
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.

QUESTION 55
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.

QUESTION 56
A recent audit that a new network was created in Your GCP project. In this network, a GCE instance has an SSH port open the world. You want to discover this network’s origin. What should you do?

Search for Create VM entry in the Stackdriver alerting console.

Navigate to the Activity page in the Home section. Set category to Data Access and search for Create VM entry.

In the logging section of the console, specify GCE Network as the logging section. Search for the Create Insert entry.

Connect to the GCE instance using project SSH Keys. Identify previous logins in system logs, and match these with the project owners list.

QUESTION 57
You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?

Option A

Option B

Option C

Option D

QUESTION 58
Your customer runs a web service used by e-commerce sites to offer product recommendations to users.
the company has begun experimenting with a machine learning model on Google Cloud Platform to
improve the quality of results.
What should the customer do to improve their model’s results over time?

Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used
to analyze the efficiency of the model.

Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which
offer better results.

Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the
model to them as soon as they are available for additional performance.

Save a history of recommendations and results of the recommendations in BigQuery, to be used as
training data.

Expected Skills, Responsibilities, and Salary for Cloud Architect

Cloud technology covers varying computing services like software, servers, and storage. In particular, cloud architects perform tasks like creating and implementing the cloud services of an organization, which includes security policies and cloud optimization. Cloud architects also focus on making sure that the content of the cloud is always accessible and secure for those individuals who use it. It’s all about proficiency in the aspects like strategies for enterprise cloud, designing solutions, and best practices for architecture. To know more, there is also the issue touching on methodologies for software development. This includes multi-layered apps availed within the hybrid or multi-cloud environments. On acing the related test and possessing the Google Professional Cloud Architect certification, you can work in a variety of firms, which may as well include service providers in IT. You may also have to travel to meet your clientele and your duties will vary depending on the organization you’ll be working for. However, the general tasks include developing and deploying cloud solutions and collaborating with your workmates so that there is streamlining when transitioning to the cloud. The salary for cloud architects as offered by ZipRecruiter.com is almost $136k per year.

To prepare for the Google Professional-Cloud-Architect certification exam, candidates must have a solid understanding of Google Cloud Platform architecture, services, and features. They must also have experience with cloud computing, networking, and security. Google Cloud offers a range of training and certification programs to help candidates develop the necessary skills and knowledge to pass the exam. These programs include online courses, instructor-led training, and hands-on labs.

Test Engine to Practice Professional-Cloud-Architect Test Questions: https://www.prepawaytest.com/Google/Professional-Cloud-Architect-practice-exam-dumps.html

Expected Skills, Responsibilities, and Salary for Cloud Architect

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