Best Preparations of Professional-Cloud-Architect Exam 2024 Google Cloud Certified Unlimited 278 Questions
Focus on Professional-Cloud-Architect All-in-One Exam Guide For Quick Preparation.
NEW QUESTION # 36
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
- A. Cloud Deployment Manager can be used to permanently delete cloud resources.
- B. Cloud Deployment Manager requires a Google APIs service account to run.
- C. Cloud Deployment Manager APIs could be deprecated in the future.
- D. Cloud Deployment Manager is unfamiliar to the company's engineers.
- E. Cloud Deployment Manager only supports automation of Google Cloud resources.
- F. Cloud Deployment Manager uses Python.
Answer: D,E
Explanation:
Explanation
https://cloud.google.com/deployment-manager/docs/deployments/deleting-deployments
NEW QUESTION # 37
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 Google Cloud Pub/Sub.
- C. Vehicles write data directly to GCS.
- D. Vehicles stream data directly to Google BigQuery.
Answer: B
Explanation:
Scale to hundreds of millions of messages per second and pay only for the resources you use. There are no partitions or local instances to manage, reducing operational overhead. Data is automatically and intelligently distributed across data centers over our unique, high-speed private network.
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.
https://cloud.google.com/pubsub/
NEW QUESTION # 38
For this question, refer to the TerramEarth case study.
You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google's recommended best practices. What should you do?
- A. Make func_query 'Require authentication.' Create a unique service account and associate it to func_display. Grant the service account invoker role for func_query. Create an id token in func_display and include the token to the request when invoking func_query.
- B. Create those two functions in the same project and VPC. Make func_query only accept internal traffic. Create an ingress firewall for func_query to only allow traffic from func_display. Also, make sure both functions use the same service account.
- C. Make func _query 'Require authentication' and only accept internal traffic. Create those two functions in the same VPC. Create an ingress firewall rule for func_query to only allow traffic from func_display.
- D. Create a token and pass it in as an environment variable to func_display. When invoking func_query, include the token in the request Pass the same token to func _query and reject the invocation if the tokens are different.
Answer: A
Explanation:
https://cloud.google.com/functions/docs/securing/authenticating#authenticating_function_to_function_calls
NEW QUESTION # 39
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?
- A. Create a custom image from the existing disk. Create an instance template from the custom image.
Create an autoscaled managed instance group from the instance template. - B. Create an instance template from the existing disk. Create a custom image from the instance template.Create an autoscaled managed instance group from the custom image.
- C. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
- D. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
Answer: C
Explanation:
Explanation
https://cloud.google.com/compute/docs/instance-templates/create-instance-templates
NEW QUESTION # 40
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?
- A. The effective policy is determined only by the policy set at the node
- B. The effective policy is the intersection of the policy set at the node and policies inherited from its ancestors
- C. The effective policy is the union of the policy set at the node and policies inherited from its ancestors
- D. The effective policy is the policy set at the node and restricted by the policies of its ancestors
Answer: C
Explanation:
Reference: https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy
NEW QUESTION # 41
For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective approach for storing their race data such as telemetry. They want to keep all historical records, train models using only the previous season's data, and plan for data growth in terms of volume and information collected.
You need to propose a data solution. Considering HRL business requirements and the goals expressed by CEO S.
Hawke, what should you do?
- A. Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data by season and event.
- B. Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data using season as a primary key.
- C. Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on season.
- D. Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Use separate database instances for each season.
Answer: C
NEW QUESTION # 42
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?
- A. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
- B. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
- C. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.
- D. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.
Answer: A
Explanation:
Reference:
https://cloud.google.com/solutions/gaming/cloud-game-infrastructure#dedicated_game_server
NEW QUESTION # 43
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?
- A. Grant the security team access to the logs in each Project
- B. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage
- C. Configure Stackdriver Monitoring for all Projects with the default retention policies
- D. Configure Stackdriver Monitoring for all Projects, and export to BigQuery
Answer: D
Explanation:
Stackdriver Logging provides you with the ability to filter, search, and view logs from your cloud and open source application services. Allows you to define metrics based on log contents that are incorporated into dashboards and alerts. Enables you to export logs to BigQuery, Google Cloud Storage, and Pub/Sub.
References: https://cloud.google.com/stackdriver/
NEW QUESTION # 44
For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.
What change in the on-premises architecture should you make?
- A. Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
- B. Replace RabbitMQ with Google Pub/Sub.
- C. Containerize the micro-services and host them in Google Kubernetes Engine.
- D. Resize compute resources to match predefined Compute Engine machine types.
Answer: D
Explanation:
Explanation/Reference:
Mix Questions
Question Set 1
NEW QUESTION # 45
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
- A. Create the Key object for each Entity and run a batch get operation
- B. Create the Key object for each Entity and run multiple get operations, one operation for each entity
- C. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
- D. Use the identifiers to create a query filter and run a batch query operation
Answer: D
Explanation:
Reference:
https://cloud.google.com/datastore/docs/concepts/entities#datastore-datastore-batch-upsert-nodejs
NEW QUESTION # 46
Your organization wants to control IAM policies for different departments independently, but centrally.
Which approach should you take?
- A. A single Organization with multiple projects, each with a central owner
- B. Multiple Organizations with multiple Folders
- C. A single Organization with Folder for each department
- D. Multiple Organizations, one for each department
Answer: C
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, increase the size of the persistent disk and use the resize2fs command in Linux.
- E. 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.
Answer: D
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.
References:
https://cloud.google.com/compute/docs/disks/add-persistent-disk
NEW QUESTION # 48
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 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. - B. 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. - C. Create a cloud router to advertise subnet #2 and subnet #3 to subnet #1.
- D. 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.
Answer: D
NEW QUESTION # 49
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?
- A. Use Stackdriver Trace to create a trace list analysis.
- B. Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.
- C. Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.
- D. Use Stackdriver Monitoring to create a dashboard on the project's activity.
Answer: A
Explanation:
https://cloud.google.com/logging/docs/audit/
NEW QUESTION # 50
Your applications will be writing their logs to BigQuery for analysis. Each application should have its own table.
Any logs older than 45 days should be removed. You want to optimize storage and follow Google recommended practices. What should you do?
- A. Configure the expiration time for your tables at 45 days
- B. Make the tables time-partitioned, and configure the partition expiration at 45 days
- C. Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days
- D. Rely on BigQuery's default behavior to prune application logs older than 45 days
Answer: B
Explanation:
Explanation
https://cloud.google.com/bigquery/docs/managing-partitioned-tables
NEW QUESTION # 51
......
Analyzing & Optimizing Business and Technical Processes
- Analyze and define business processes: this entails stakeholder management (facilitation and influencing); decision-making process; change management; skill readiness and team assessment; cost optimization and resource optimization; customer success management; procedure development to ensure the resilience of solutions with production.
- Analyze and define technical processes: this area will require skills in testing and validation; software development lifecycle plan; troubleshooting and post mortem analysis culture; continuous deployment and continuous integration; service catalog and provisioning; disaster recovery and business continuity;
Guaranteed Success with Professional-Cloud-Architect Dumps: https://actualtests.trainingquiz.com/Professional-Cloud-Architect-training-materials.html
