May 06, 2024 Professional-Cloud-Architect Exam Crack Test Engine Dumps Training With 278 Questions
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The Google Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions, and is designed to test a candidate's knowledge and skills in various areas such as designing and planning a cloud solution architecture, managing and provisioning a cloud infrastructure, optimizing cloud solutions for cost and performance, and ensuring the security and compliance of cloud solutions.
NEW QUESTION # 47
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space.
How can you remediate the problem with the least amount of downtime?
- A. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine
- B. In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk
- C. In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux
- D. In the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service
- E. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
Answer: E
Explanation:
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
Reference: https://cloud.google.com/compute/docs/disks/add-persistent-disk
NEW QUESTION # 48
Your company is developing a new application that will allow globally distributed users to upload pictures and share them with other selected users. The application will support millions of concurrent users. You want to allow developers to focus on just building code without having to create and maintain the underlying infrastructure. Which service should you use to deploy the application?
- A. Google Kubernetes Engine
- B. Compute Engine
- C. Cloud Endpoints
- D. App Engine
Answer: D
Explanation:
Reference:
https://cloud.google.com/appengine/docs/standard/go/how-requests-are-handled
NEW QUESTION # 49
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?
- A. 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
NEW QUESTION # 50
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 BigQuery
- C. Google Cloud Datastore
- D. Google Cloud SQL
Answer: C
NEW QUESTION # 51
You are designing an application for use only during business hours. For the minimum viable product release, you'd like to use a managed product that automatically "scales to zero" so you don't incur costs when there is no activity.
Which primary compute resource should you choose?
- A. AppEngine flexible environment
- B. Kubernetes Engine
- C. Cloud Functions
- D. Compute Engine
Answer: C
Explanation:
Explanation
https://cloud.google.com/serverless-options
NEW QUESTION # 52
Your company has a project in Google Cloud with three Virtual Private Clouds (VPCs). There is a Compute Engine instance on each VPC. Network subnets do not overlap and must remain separated. The network configuration is shown below.
Instance #1 is an exception and must communicate directly with both Instance #2 and Instance #3 via internal IPs. How should you accomplish this?
- A. Peer all three VPCs:
* Peer VPC #1 with VPC #2.
* Peer VPC #2 with VPC #3.
Update firewall rules to enable traffic between the instances. - B. Create two VPN tunnels via CloudVPN:
* 1 between VPC #1 and VPC #2.
* 1 between VPC #2 and VPC #3.
Update firewall rules to enable traffic between the instances. - C. Add two additional NICs to Instance #1 with the following configuration:
* NIC1
* VPC: VPC #2
* SUBNETWORK: subnet #2
* NIC2
* VPC: VPC #3
* SUBNETWORK: subnet #3
Update firewall rules to enable traffic between instances. - D. Create a cloud router to advertise subnet #2 and subnet #3 to subnet #1.
Answer: C
Explanation:
As per GCP documentation: "By default, every instance in a VPC network has a single network interface. Use these instructions to create additional network interfaces. Each interface is attached to a different VPC network, giving that instance access to different VPC networks in Google Cloud. You cannot attach multiple network interfaces to the same VPC network." Refer to: https://cloud.google.com/vpc/docs/create-use-multiple-interfaces
https://cloud.google.com/vpc/docs/create-use-multiple-interfaces#i_am_not_able_to_connect_to_secondary_interfaces_internal_ip
NEW QUESTION # 53
You are using Cloud CDN to deliver static HTTP(S) website content hosted on a Compute Engine instance group. You want to improve the cache hit ratio.
What should you do?
- A. Make sure the HTTP(S) header "Cache-Region" points to the closest region of your users.
- B. Customize the cache keys to omit the protocol from the key.
- C. Replicate the static content in a Cloud Storage bucket. Point CloudCDN toward a load balancer on that bucket.
- D. Shorten the expiration time of the cached objects.
Answer: B
Explanation:
Explanation
Reference https://cloud.google.com/cdn/docs/bestpractices#
using_custom_cache_keys_to_improve_cache_hit_ratio
NEW QUESTION # 54
The operations team in your company wants to save Cloud VPN log events (or one year You need to configure the cloud infrastructure to save the logs What should you do?
- A. Enable the Compute Engine API and then enable logging on the firewall rules that match the traffic you want to save
- B. Set up a filter in Cloud Logging and a Cloud Storage bucket as an export target for the logs you want to save
- C. Set up a filter in Cloud Logging and a topic in Pub/Sub to publish the logs
- D. Set up a Cloud Logging Dashboard titled Cloud VPN Logs, and then add a chart that queries for the VPN metrics over a one-year time period
Answer: B
NEW QUESTION # 55
As part of their new application experience, Dress4Wm allows customers to upload images of themselves.
The customer has exclusive control over who may view these images.
Customers should be able to upload images with minimal latency and also be shown their images quickly
on the main application page when they log in.
Which configuration should Dress4Win use?
- A. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in
Cloud Storage that contains the customer's unique ID. - B. Use a distributed file system to store customers' images. As storage needs increase, add more
persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps
each customer's ID to their image files. - C. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata
that maps each customer's ID and their image files. - D. Use a distributed file system to store customers' images. As storage needs increase, add more
persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner
attribute, ensuring privacy of images.
Answer: C
NEW QUESTION # 56
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?
- A. Direct them to download and install the Google StackDriver logging agent.
- B. Help them upgrade their current tool to take advantage of any new features.
- C. Send them a list of online resources about logging best practices.
- D. Help them define their requirements and assess viable logging tools.
Answer: B
NEW QUESTION # 57
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-through 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 2 answers.
- A. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
- B. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
- C. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
- D. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
Answer: A,D
Explanation:
References: https://cloud.google.com/storage-options/
NEW QUESTION # 58
Your company wants you to build a highly reliable web application with a few public APIs as the backend.
You don't expect a lot of user traffic, but traffic could spike occasionally. You want to leverage Cloud Load Balancing, and the solution must be cost-effective for users. What should you do?
- A. Store static content such as HTML and images in a Cloud Storage bucket. Use Cloud Functions to host the APIs and save the user data in Firestore.
- B. Store static content such as HTML and images in a Cloud Storage bucket. Host the APIs on a zonal Google Kubernetes Engine cluster with worker nodes in multiple zones, and save the user data in Cloud Spanner.
- C. Store static content such as HTML and images in Cloud CDN. Use Cloud Run to host the APIs and save the user data in Cloud SQL.
- D. Store static content such as HTML and images in Cloud CDN. Host the APIs on App Engine and store the user data in Cloud SQL.
Answer: A
Explanation:
Explanation
https://cloud.google.com/load-balancing/docs/https/setting-up-https-serverless#gcloud:-cloud-functions
https://cloud.google.com/blog/products/networking/better-load-balancing-for-app-engine-cloud-run-and-function
NEW QUESTION # 59
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?
- A. Insert data into Google Cloud SQL
- B. Put flat files into Google Cloud Storage
- C. Stream data into Google Cloud Datastore
- D. Load data into Google BigQuery
Answer: D
Explanation:
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References: https://cloud.google.com/bigquery/
NEW QUESTION # 60
Your web application uses Google Kubernetes Engine to manage several workloads. One workload requires a consistent set of hostnames even after pod scaling and relaunches.
Which feature of Kubernetes should you use to accomplish this?
- A. Persistent Volumes
- B. Role-based access control
- C. Container environment variables
- D. StatefulSets
Answer: D
Explanation:
Explanation
https://kubernetes.io/docs/tutorials/stateful-application/basic-stateful-set/
NEW QUESTION # 61
A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform. What should you do?
- A. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.
- B. Help the engineer to convert his websocket code to use HTTP streaming.
- C. Meet with the cloud operations team and the engineer to discuss load balancer options.
- D. Review the encryption requirements for websocket connections with the security team.
Answer: C
Explanation:
Google Cloud Platform (GCP) HTTP(S) load balancing provides global load balancing for HTTP(S) requests destined for your instances.
The HTTP(S) load balancer has native support for the WebSocket protocol.
Incorrect Answers:
A: HTTP server push, also known as HTTP streaming, is a client-server communication pattern that sends information from an HTTP server to a client asynchronously, without a client request. A server push architecture is especially effective for highly interactive web or mobile applications, where one or more clients need to receive continuous information from the server.
References: https://cloud.google.com/compute/docs/load-balancing/http/
NEW QUESTION # 62
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?
- A. 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 - B. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize
CLUSTER_Name - -size 10 - C. Create a new Container Engine cluster with the following command:
gcloud alpha container clusters
create mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
and redeploy your application - D. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters
update mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled.
Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References: https://cloud.google.com/sdk/gcloud/reference/container/clusters/create
NEW QUESTION # 63
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To become a Google Certified Professional - Cloud Architect (GCP), a candidate must pass the Professional-Cloud-Architect certification exam. Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate's ability to design, manage, and secure cloud solutions on GCP. Professional-Cloud-Architect exam is proctored and can be taken online or at a testing center.
Professional-Cloud-Architect Exam Dumps Contains FREE Real Quesions from the Actual Exam: https://actualtests.trainingquiz.com/Professional-Cloud-Architect-training-materials.html
