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Google Professional-Cloud-Architect PDF Dumps Format
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q83-Q88):
NEW QUESTION # 83
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. Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days
- B. Configure the expiration time for your tables at 45 days
- C. Make the tables time-partitioned, and configure the partition expiration at 45 days
- D. Rely on BigQuery's default behavior to prune application logs older than 45 days
Answer: B
Explanation:
Reference:https://cloud.google.com/bigquery/docs/managing-tables
NEW QUESTION # 84
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?
- A. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
- B. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
- C. 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.
- D. Ensure that a firewall rules exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
Answer: A
Explanation:
The best practice when configuration a health check is to check health and serve traffic on the same port.
However, it is possible to perform health checks on one port, but serve traffic on another. If you do use two different ports, ensure that firewall rules and services running on instances are configured appropriately. If you run health checks and serve traffic on the same port, but decide to switch ports at some point, be sure to update both the backend service and the health check.
Backend services that do not have a valid global forwarding rule referencing it will not be health checked and will have no health status.
Reference: https://cloud.google.com/compute/docs/load-balancing/http/backend-service
NEW QUESTION # 85
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. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
- B. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
- 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, 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.
Answer: A
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 # 86
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery.
What should you do to fix the script?
- A. Run your script on a new virtual machine with the BigQuery access scope enabled
- B. Install the bq component for gcloud with the command gcloud components install bq.
- C. Create a new service account with BigQuery access and execute your script with that user
- D. Install the latest BigQuery API client library for Python
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Applications that use BigQuery must be associated with a Google Cloud Platform Console project with the BigQuery API enabled.
Reference: https://cloud.google.com/bigquery/create-simple-app-api
NEW QUESTION # 87
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?
- A. Google Cloud VPN connected to the data center network
- B. Google Cloud Dedicated Interconnect
- C. A NAT and TLS translation gateway installed on-premises
- D. A Google Compute Engine instance with a VPN server installed connected to the data center network
Answer: A
NEW QUESTION # 88
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