[Oct-2024] Professional-Cloud-Architect Pre-Exam Practice Tests | Exam Questions and Answers for Google Cloud Certified Study Guide
Google Certified Professional - Cloud Architect (GCP) Certification Sample Questions
To become a Google Certified Professional - Cloud Architect, candidates must pass the GCP certification exam. Professional-Cloud-Architect exam consists of multiple-choice questions and is delivered online. Candidates have two hours to complete the exam, and they must score at least 70% to pass. Professional-Cloud-Architect exam fee is $200 USD, and it is recommended that candidates have at least three years of industry experience before taking the exam.
NEW QUESTION # 87
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?
- A. 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
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. - B. Perform the following:
1) Create a Kubernetes Engine (GKE) 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. - C. 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. - D. 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.
Answer: B
Explanation:
Reference:
https://cloud.google.com/compute/docs/instance-templates
NEW QUESTION # 88
Your company has a networking team and a development team. The development team runs applications on Compute Engine instances that contain sensitive dat a. The development team requires administrative permissions for Compute Engine. Your company requires all network resources to be managed by the networking team. The development team does not want the networking team to have access to the sensitive data on the instances. What should you do?
- A. 1. Create a project with a Shared VPC and assign the Network Admin role to the networking team.
2. Create a second project without a VPC, configure it as a Shared VPC service project, and assign the Compute Admin role to the development team. - B. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2. Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3. Use VPC Peering to join the two VPCs. - C. 1. Create a project with a standalone Virtual Private Cloud (VPC), assign the Network Admin role to the networking team, and assign the Compute Admin role to the development team.
- D. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2. Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3. Use Cloud VPN to join the two VPCs.
Answer: A
NEW QUESTION # 89
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. 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?
- A. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
- B. Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
- C. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
- D. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
Answer: B
Explanation:
Explanation
Coldline Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:
Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.
Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 90
Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?
- A. Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage.
- B. Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump
- C. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
- D. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.
Answer: B
Explanation:
https://cloud.google.com/storage/docs/gcs-fuse
NEW QUESTION # 91
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?
- A. 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.
- B. Use a managed instance group with instances in multiple zones, use Cloud Filestore, and use an HTTP load balancer in front of the instances.
- C. 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.
- D. Use a managed instance group with instances in multiple zones, use Cloud Filestore, and use a network load balancer in front of the instances.
Answer: A
NEW QUESTION # 92
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. Create a cloud router to advertise subnet #2 and subnet #3 to subnet #1.
- B. 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. - C. 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. - D. 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.
Answer: B
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_int
NEW QUESTION # 93
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?
- A. Vehicles continue to write data using the existing system (FTP).
- B. Vehicles write data directly to GCS.
- C. Vehicles write data directly to Google Cloud Pub/Sub.
- D. Vehicles stream data directly to Google BigQuery.
Answer: C
Explanation:
Reference:
https://cloud.google.com/solutions/data-lifecycle-cloud-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform
NEW QUESTION # 94
You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game programmatic access to a legacy game's Firestore database. Access should be as restricted as possible. What should you do?
- A. Create a service account (SA) in the legacy game's Google Cloud project, add a second SA in the new game's IAM page, and then give the Organization Admin role to both SAs
- B. Create a service account (SA) in the legacy game's Google Cloud project, add this SA in the new game's IAM page, and then give it the Firebase Admin role in both projects
- C. Create a service account (SA) in the lgacy game's Google Cloud project, give the SA the Organization Admin rule and then give it the Firebase Admin role in both projects
- D. Create a service account (SA) in the legacy game's Google Cloud project, give it the Firebase Admin role, and then migrate the new game to the legacy game's project.
Answer: A
Explanation:
Topic 10, Helicopter Racing League Case
Company Overview
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Solution concept
HRL wants to migrate their existing service to a new platform to expand their use of managed AI and ML services to facilitate race predictions. Additionally, as new fans engage with the sport, particularly in emerging regions, they want to move the serving of their content, both real-time and recorded, closer to their users.
Existing technical environment
HRL is a public cloud-first company; the core of their mission-critical applications runs on their current public cloud provider. Video recording and editing is performed at the race tracks, and the content is encoded and transcoded, where needed, in the cloud. Enterprise-grade connectivity and local compute is provided by truck-mounted mobile data centers. Their race prediction services are hosted exclusively on their existing public cloud provider. Their existing technical environment is as follows:
Existing content is stored in an object storage service on their existing public cloud provider.
Video encoding and transcoding is performed on VMs created for each job.
Race predictions are performed using TensorFlow running on VMs in the current public cloud provider.
Business Requirements
HRL's owners want to expand their predictive capabilities and reduce latency for their viewers in emerging markets. Their requirements are:
Support ability to expose the predictive models to partners.
Increase predictive capabilities during and before races:
* Race results
* Mechanical failures
* Crowd sentiment
Increase telemetry and create additional insights.
Measure fan engagement with new predictions.
Enhance global availability and quality of the broadcasts.
Increase the number of concurrent viewers.
Minimize operational complexity.
Ensure compliance with regulations.
Create a merchandising revenue stream.
Technical Requirements
Maintain or increase prediction throughput and accuracy.
Reduce viewer latency.
Increase transcoding performance.
Create real-time analytics of viewer consumption patterns and engagement.
Create a data mart to enable processing of large volumes of race data.
Executive statement
Our CEO, S. Hawke, wants to bring high-adrenaline racing to fans all around the world. We listen to our fans, and they want enhanced video streams that include predictions of events within the race (e.g., overtaking). Our current platform allows us to predict race outcomes but lacks the facility to support real-time predictions during races and the capacity to process season-long results.
NEW QUESTION # 95
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?
- A. The HTTP Expires header needs to be set to -1 to stop caching.
- B. The URL of the API needs to be modified to prevent caching.
- C. The session variable is being overwritten in Cloud Datastore.
- D. The session variable is local to just a single instance.
Answer: C
NEW QUESTION # 96
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?
- A. Digitally sign all of your JAR files and redeploy your application
- B. Upload missing JAR files and redeploy your application.
Answer: A
NEW QUESTION # 97
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?
- A. Add tags to each tier and set up routes to allow the desired traffic flow.
- B. Set up software based firewalls on individual VMs.
- C. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
- D. Add each tier to a different subnetwork.
Answer: C
Explanation:
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/ Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/
NEW QUESTION # 98
You have an application deployed on Google Kubernetes Engine using a Deployment named echo-deployment.
The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?
- A. Update the deployment yaml file with the new container image. Use kubectl delete deployment/ echo-deployment and kubectl create -f <yaml-file>
- B. Update the service yaml file which the new container image. Use kubectl delete service/echo- service and kubectl create -f <yaml-file>
- C. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster
- D. Use kubectl set image deployment/echo-deployment <new-image>
Answer: D
NEW QUESTION # 99
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?
- A. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
- B. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
- C. 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.
- D. Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.
Answer: B
Explanation:
Explanation
https://cloud.google.com/stackdriver/docs/solutions/gke/legacy-stackdriver/monitoring
NEW QUESTION # 100
You are managing an application deployed on Cloud Run for Anthos, and you need to define a strategy for deploying new versions of the application. You want to evaluate the new code with a subset of production traffic to decide whether to proceed with the rollout. What should you do?
- A. Deploy a new service to Cloud Run with the new version. Add a Cloud Load Balancing instance in front of both services.
- B. In the Google Cloud Console page for Cloud Run, set up continuous deployment using Cloud Build for the development branch. As part of the Cloud Build trigger, configure the substitution variable TRAFFIC_PERCENTAGE with the percentage of traffic you want directed to a new version.
- C. In the Google Cloud Console, configure Traffic Director with a new Service that points to the new version of the application on Cloud Run. Configure Traffic Director to send a small percentage of traffic to the new version of the application.
- D. Deploy a new revision to Cloud Run with the new version. Configure traffic percentage between revisions.
Answer: D
NEW QUESTION # 101
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?
- A. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10 - B. 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 - C. 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. - D. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize CLUSTER_NAME --size 10
Answer: B
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler
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.
NEW QUESTION # 102
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. Review the encryption requirements for websocket connections with the security team.
- B. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.
- C. Help the engineer to convert his websocket code to use HTTP streaming.
- D. Meet with the cloud operations team and the engineer to discuss load balancer options.
Answer: D
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.
NEW QUESTION # 103
Dress4Win has asked you for advice on how to migrate their on-premises MySQL deployment to the
cloud.
They want to minimize downtime and performance impact to their on-premises solution during the
migration.
Which approach should you recommend?
- A. Create a dump of the MySQL replica server into the cloud environment, load it into: Google Cloud
Datastore, and configure applications to read/write to Cloud Datastore at cutover. - B. Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous
replication from the MySQL master server on-premises until cutover. - C. Create a dump of the on-premises MySQL master server, and then shut it down, upload it to the cloud
environment, and load into a new MySQL cluster. - D. Create a new MySQL cluster in the cloud, configure applications to begin writing to both on premises
and cloud MySQL masters, and destroy the original cluster at cutover.
Answer: B
Explanation:
Professional Cloud Architect
Testlet 1
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
- 20 TB
- Complex table structure
- Well maintained, clean data
- Strong backup strategy
PostgreSQL database stores user credentials
- Single-homed in US West
- No redundancy
- Backed up every 12 hours
- 100% uptime service level agreement (SLA)
- Authenticates all users
Compute
30 machines in US West Coast, each machine has:
- Twin, dual core CPUs
- 32 GB of RAM
- Twin 250 GB HDD (RAID 1)
20 machines in US East Coast, each machine has:
- Single, dual-core CPU
- 24 GB of RAM
- Twin 250 GB HDD (RAID 1)
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 availability 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 applications 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 policies.
CTO Statement
The challenges of operating data centers prevent 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 to 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 periods and reduce costs.
NEW QUESTION # 104
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?
- A. Configure a new load balancer for the new version of the API.
- B. Use separate backend pools for each API path behind the load balancer.
- C. Have the old API forward traffic to the new API based on the path.
- D. Reconfigure old clients to use a new endpoint for the new API.
Answer: B
Explanation:
https://cloud.google.com/endpoints/docs/openapi/lifecycle-management
NEW QUESTION # 105
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool.
This requires a relational database that can operate on hundreds of terabytes of data. What is the Google recommended tool for such applications?
- A. Cloud SQL, because it is a fully managed relational database
- B. BigQuery, because it is designed for large-scale processing of tabular data
- C. Cloud Spanner, because it is globally distributed
- D. Cloud Firestore, because it offers real-time synchronization across devices
Answer: B
Explanation:
Reference: https://cloud.google.com/files/BigQueryTechnicalWP.pdf
NEW QUESTION # 106
You are working with a data warehousing team that performs data analysis. The team needs to process data from external partners, but the data contains personally identifiable information (PlI). You need to process and store the data without storing any of the Pll data. What should you do?
- A. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline store all non-PII data in BigQuery and store all Pll data in a Cloud Storage bucket that has a retention policy set.
- B. Ask the external partners to import ail data in your BigQuery dataset Create a dataflow pipeline to copy the data into a new table As part of the Dataflow bucket skip all data in columns that have Pll data
- C. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline use the Cloud Data Loss Prevention (Cloud DLP) API to remove any Pll data Store the result in BigQuery
- D. Ask the external partners to upload an data on Cloud Storage Configure Bucket Lock for the bucket Create a Dataflow pipeline to read the data from the bucket As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DIP) API to remove any Pll data Store the result in BigQuery
Answer: C
Explanation:
Explanation
Create a Dataflow pipeline to retrieve the data from the external sources, he did not specify the way he is going to create it, it might be a pub/sub or external table or whatever.
NEW QUESTION # 107
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?
- A. Google Cloud Dataflow
- B. Google Cloud Dataproc
- C. Google Compute Engine with Google BigQuery
- D. Google Container Engine with Bigtable
Answer: A
Explanation:
Dataflow is for processing both the Batch and Stream.
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
NEW QUESTION # 108
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours.
Not all users have a Google Account. How should you have users upload images?
- A. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after
24 hours. - B. Create an App Engine web application where users can upload images for the next 24 hours.Authenticate users via Cloud Identity.
- C. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
- D. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
Answer: A
Explanation:
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud-storage-by-us
NEW QUESTION # 109
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?
- A. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
- B. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.
- C. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
- D. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
Answer: D
NEW QUESTION # 110
For this question, refer to the TerramEarth case study.
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle data. Which architecture should you recommend?
A)
B)
C)
D)
- A. Option D
- B. Option A
- C. Option C
- D. Option B
Answer: B
Explanation:
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-connected-car-data
https://cloud.google.com/solutions/iot/
The push endpoint can be a load balancer.
A container cluster can be used.
Cloud Pub/Sub for Stream Analytics
References:
https://cloud.google.com/pubsub/
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-connected-car-data
https://cloud.google.com/solutions/iot/
NEW QUESTION # 111
......
The Google Professional-Cloud-Architect exam consists of multiple-choice and multiple-select questions that cover a wide range of topics, including cloud computing architecture, infrastructure design, data storage and management, security, compliance, and pricing. To pass the exam, candidates must demonstrate a deep understanding of these topics and be able to apply their knowledge to real-world scenarios. Successful completion of the exam not only demonstrates the candidate's proficiency in designing and implementing cloud solutions on Google Cloud, but also enhances their credibility as a cloud architect and opens up new career opportunities.
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Tested Material Used To Professional-Cloud-Architect: https://drive.google.com/open?id=1VzJLCI6IMEQLa1vuzjRNBsZhJebZd07k