2022 Latest Professional-Cloud-Architect dumps Exam Material with 251 Questions [Q11-Q25] : Valid Premium Exam : http://premium.validexam.com

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2022 Latest Professional-Cloud-Architect dumps Exam Material with 251 Questions [Q11-Q25]

2022 Latest Professional-Cloud-Architect dumps Exam Material with 251 Questions

Google Professional-Cloud-Architect Questions and Answers Guarantee you Oass the Test Easily

QUESTION 11
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

Google Kubernetes Engine with an SSL Ingress

Cloud IoT Core with public/private key pairs

Compute Engine with project-wide SSH keys

Compute Engine with specific SSH keys

QUESTION 12
All compute Engine instances in your VPC should be able to connect to an Active Directory server on
specific ports. Any other traffic emerging from your instances is not allowed. You want to enforce this using
VPC firewall rules.
How should you configure the firewall rules?

Create an egress rule with priority 1000 to deny all traffic for all instances. Create another egress rule
with priority 100 to allow the Active Directory traffic for all instances.

Create an egress rule with priority 100 to deny all traffic for all instances. Create another egress rule
with priority 1000 to allow the Active Directory traffic for all instances.

Create an egress rule with priority 1000 to allow the Active Directory traffic. Rely on the implied deny
egress rule with priority 100 to block all traffic for all instances.

Create an egress rule with priority 100 to allow the Active Directory traffic. Rely on the implied deny
egress rule with priority 1000 to block all traffic for all instances.

QUESTION 13
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

Google BigQuery

Google Cloud SQL

Google Cloud Bigtable

Google Cloud Storage

QUESTION 14
Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced.
Which two actions can you take? Choose 2 answers.

Enable code signing and a trusted binary repository integrated with your CI/CD pipeline

Ensure you have stubs to unit test all interfaces between components

Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline

Use source code security analyzers as part of the CI/CD pipeline

Ensure every code check-in is peer reviewed by a security SME

QUESTION 15
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

Use a persistent disk for each instance.

Use a regional persistent disk for each instance.

Create a Cloud Filestore instance and mount it in each instance.

Create a Cloud Storage bucket and mount it in each instance using gcsfuse.

QUESTION 16
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 Asia. 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

QUESTION 17
You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly. What should you do?

Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.

Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.

Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.

Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.

QUESTION 18

The migration of JencoMart’s application to Google Cloud Platform (GCP) is progressing too slowly. The
infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? Choose 3 answers.

A single VPN tunnel, which limits throughput

A tier of Google Cloud Storage that is not suited for this task

A copy command that is not suited to operate over long distances

Fewer virtual machines (VMs) in GCP than on-premises machines

A separate storage layer outside the VMs, which is not suited for this task

Complicated internet connectivity between the on-premises infrastructure and GCP

QUESTION 19
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?

Use Google App Engine to serve the website and Google Cloud Datastore to store user data.

Use a Google Container Engine cluster to serve the website and store data to persistent disk.

Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.

Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.

QUESTION 20
You have a Python web application with many dependencies that requires 0.1 CPU cores and
128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

Perform the following:
1. Create a managed instance group with f1-micro type machines.
2. Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3. Restart the instances to automatically deploy new production releases.

Perform the following:
1. Create a managed instance group with n1-standard-1 type machines.
2. Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3. Rebuild the Compute Engine image, and update the instance template to deploy new production releases.

Perform the following:
1. Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2. Build a Docker image from the production branch with all of the dependencies, and tag it with the version number.
3. Create a Kubernetes Deployment with the imagePullPolicy set to “IfNotPresent” in the staging namespace, and then promote it to the production namespace after testing.

Perform the following:
1. Create a Kubernetes Engine cluster with n1-standard-4 type machines.
2. Build a Docker image from the master branch will all of the dependencies, and tag it with
“latest”.
3. Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to
“Always”. Restart the pods to automatically deploy new production releases.

QUESTION 21
For this question, refer to the JencoMart case study
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.

QUESTION 22
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

QUESTION 23
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

QUESTION 24
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize CLUSTER_NAME –size 10

Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags INSTANCE –tags enable –autoscaling max-nodes-10

Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters update mycluster –enable-autoscaling –min-nodes=1 –max-nodes=10

Create a new Container Engine cluster with the following command:
gcloud alpha container clusters create mycluster –enable-autocaling –min-nodes=1 –max-nodes=10 and redeploy your application.

QUESTION 25
You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.

Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.

Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address name to address the Pod from other microservices within the cluster.

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