PCA practice questions 91–100

1. Question 91 · 335 in bank

   Your operations team currently stores 10 TB of data in an object storage service from a third-party provider. They want to move this data to a Cloud Storage bucket as quickly as possible, following Google-recommended practices. They want to minimize the cost of this data migration. Which approach should they use?

   • AUse the gsutil mv command to move the data.
   • BUse the Storage Transfer Service to move the data.
   • CDownload the data to a Transfer Appliance, and ship it to Google.
   • DDownload the data to the on-premises data center, and upload it to the Cloud Storage bucket.

   Show answer

   Answer: B

   Explanation

   I would have voted C looking at 10 TB at first glance. But the senario other cloud storge changes the look out. You cannot wre master applica here. As you wont be able to remove and store data like on prem. Hence is or Starge Transfer service.

   Source: Adapted from community discussion — amxexam

   References

   • Google Cloud documentation
   • Google Cloud documentation

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2. Question 92 · 335 in bank

   You have a Compute Engine managed instance group that adds and removes Compute Engine instances from the group in response to the load on your application. The instances have a shutdown script that removes REDIS database entries associated with the instance. You see that many database entries have not been removed, and you suspect that the shutdown script is the problem. You need to ensure that the commands in the shutdown script are run reliably every time an instance is shut down. You create a Cloud Function to remove the database entries. What should you do next?

   • AModify the shutdown script to wait for 30 seconds before triggering the Cloud Function.
   • BDo not use the Cloud Function. Modify the shutdown script to restart if it has not completed in 30 seconds.
   • CSet up a Cloud Monitoring sink that triggers the Cloud Function after an instance removal log message arrives in Cloud Logging.
   • DModify the shutdown script to wait for 30 seconds and then publish a message to a Pub/Sub queue.

   Show answer

   Answer: C

   Explanation

   The correct answer is C: Set up a Cloud Monitoring sink that triggers the Cloud Function after an instance removal log message arrives in Cloud Logging. In this scenario, you want to ensure that the commands in the shutdown script are run reliably every time an instance is shut down. One way to do this is by setting up a Cloud Monitoring sink that triggers a Cloud Function after an instance removal log message arrives in Cloud Logging. This will allow you to use the Cloud Function to perform the necessary tasks (such as removing database entries) when an instance is shut down, and it will ensure that these tasks are performed reliably and consistently. Option A: Modifying the shutdown script to wait for 30 seconds before triggering the Cloud Function is not a reliable solution, as it relies on the shutdown script being able to run for at least 30 seconds before the instance is shut down.

   Source: Adapted from community discussion — omermahgoub

   References

   • Google Cloud documentation
   • Google Cloud documentation

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3. Question 93 · 335 in bank

   You are managing several projects on Google Cloud and need to interact on a daily basis with BigQuery, Bigtable, and Kubernetes Engine using the gcloud CL tool. You are travelling a lot and work on different workstations during the week. You want to avoid having to manage the gcloud CLI manually. What should you do?

   • AUse Google Cloud Shell in the Google Cloud Console to interact with Google Cloud.
   • BCreate a Compute Engine instance and install gcloud on the instance. Connect to this instance via SSH to always use the same gcloud installation when interacting with Google Cloud.
   • CInstall gcloud on all of your workstations. Run the command gcloud components auto-update on each workstation
   • DUse a package manager to install gcloud on your workstations instead of installing it manually.

   Show answer

   Answer: A

   Explanation

   First discard: C / D are totally not it. Since they will do so much work and it says "do not want to manage gcoud CLI manually" Then B is not a good cost option, besides at the end you are managing your gcloud cli manually. So A is the only left correct answer. It even saves your $HOME files.

   Source: Adapted from community discussion — alexandercamachop

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4. Question 94 · 335 in bank

   Your company recently acquired a company that has infrastructure in Google Cloud. Each company has its own Google Cloud organization. Each company is using a Shared Virtual Private Cloud (VPC) to provide network connectivity for its applications. Some of the subnets used by both companies overlap. In order for both businesses to integrate, the applications need to have private network connectivity. These applications are not on overlapping subnets. You want to provide connectivity with minimal re-engineering. What should you do?

   • ASet up VPC peering and peer each Shared VPC together.
   • BMigrate the projects from the acquired company into your company's Google Cloud organization. Re-launch the instances in your companies Shared VPC.
   • CSet up a Cloud VPN gateway in each Shared VPC and peer Cloud VPNs.
   • DConfigure SSH port forwarding on each application to provide connectivity between applications in the different Shared VPCs.

   Show answer

   Answer: C

   Explanation

   VPC peering cannot be established between VPCs if there is IP range overlap. C is ok since you can establish VPN across these VPCs and only include the applications required IP ranges as its mentioned that they do not overlap

   Source: Adapted from community discussion — 6721sora

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

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5. Question 95 · 335 in bank

   You are managing several internal applications that are deployed on Compute Engine. Business users inform you that an application has become very slow over the past few days. You want to find the underlying cause in order to solve the problem. What should you do first?

   • AInspect the logs and metrics from the instances in Cloud Logging and Cloud Monitoring.
   • BChange the Compute Engine Instances behind the application to a machine type with more CPU and memory.
   • CRestore a backup of the application database from a time before the application became slow.
   • DDeploy the applications on a managed instance group with autoscaling enabled. Add a load balancer in front of the managed instance group, and have the users connect to the IP of the load balancer.

   Show answer

   Answer: A

   Explanation

   When an application becomes slow, the first step you should take is to gather information about the underlying cause of the problem. One way to do this is by inspecting the logs and metrics from the instances where the application is deployed. Google Cloud Platform (GCP) provides tools such as Cloud Logging and Cloud Monitoring that can help you to collect and analyze this information. By reviewing the logs and metrics from the instances, you may be able to identify issues such as resource shortages (e.g. CPU, memory, or disk), network problems, or application errors that are causing the performance issues. Once you have identified the underlying cause of the problem, you can take steps to resolve it. The correct answer is A: Inspect the logs and metrics from the instances in Cloud Logging and Cloud Monitoring.

   Source: Adapted from community discussion — omermahgoub

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6. Question 96 · 335 in bank

   Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster. When releasing new versions of the application via a rolling deployment, the team has been causing outages. The root cause of the outages is misconfigurations with parameters that are only used in production. You want to put preventive measures for this in the platform to prevent outages. What should you do?

   • AConfigure liveness and readiness probes in the Pod specification.
   • BConfigure health checks on the managed instance group.
   • CCreate a Scheduled Task to check whether the application is available.
   • DConfigure an uptime alert in Cloud Monitoring.

   Show answer

   Answer: A

   Explanation

   A: Configuring the right liveness and readiness probes prevents outages when rolling out a new ReplicaSet of a Deployment, because Pods are only getting traffic when they are considered ready. B: With GKE, you do not deal with MIGs. C: Does not use GKE tools and is therefore not the best option. D: Does alert you but does not prevent the outage.

   Source: Adapted from community discussion — jabrrJ68w02ond1

   References

   • Google Cloud documentation
   • Google Cloud documentation

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7. Question 97 · 335 in bank

   Your company uses Google Kubernetes Engine (GKE) as a platform for all workloads. Your company has a single large GKE cluster that contains batch, stateful, and stateless workloads. The GKE cluster is configured with a single node pool with 200 nodes. Your company needs to reduce the cost of this cluster but does not want to compromise availability. What should you do?

   • ACreate a second GKE cluster for the batch workloads only. Allocate the 200 original nodes across both clusters.
   • BConfigure CPU and memory limits on the namespaces in the cluster. Configure all Pods to have a CPU and memory limits.
   • CConfigure a HorizontalPodAutoscaler for all stateless workloads and for all compatible stateful workloads. Configure the cluster to use node auto scaling.
   • DChange the node pool to use preemptible VMs.

   Show answer

   Answer: C

   Explanation

   A: Is not necessary because you can have multiple node pools with different configurations. B: Optimizes resource usage of CPU/memory in your existing node pool but does not necessarily improve cost - still an option that should be considered. C: This looks really good. Autoscaling workloads and the node pools makes your whole infrastructure more elastic and gives you the option to rely on the same node pool. D: This might not be a good option for every type of workload. Batch and stateless workloads can often handle this quite well, but stateful workloads are not well-suited for operation on preemptible VMs. Since only one answer is accepted, I'll choose C.

   Source: Adapted from community discussion — jabrrJ68w02ond1

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8. Question 98 · 335 in bank

   Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

   • A1. In the BigQuery dataset that contains all the tables to be queried, add a label for each user that can launch a query. 2. Open the Billing page of the project. 3. Select Reports. 4. Select BigQuery as the product and filter by the user you want to check.
   • B1. Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. 2. Perform a BigQuery query on the generated table to extract the information you need.
   • C1. Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. 2. Develop a Dataflow pipeline to compute the cost of queries split by users.
   • D1. Activate billing export into BigQuery. 2. Perform a BigQuery query on the billing table to extract the information you need.

   Show answer

   Answer: B

   Explanation

   B is the correct answer https://cloud.google.com/blog/products/data-analytics/taking-a-practical-approach-to-bigquery-cost-monitoring A is incorrect as there is not billing page for a project, its billing account that handles all org billing.

   Source: Adapted from community discussion — Mahmoud_E

   References

   • Google Cloud documentation
   • Google Cloud documentation

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9. Question 99 · 335 in bank

   Your company and one of its partners each have a Google Cloud project in separate organizations. Your company's project (prj-a) runs in Virtual Private Cloud (vpc-a). The partner's project (prj-b) runs in vpc-b. There are two instances running on vpc-a and one instance running on vpc-b. Subnets defined in both VPCs are not overlapping. You need to ensure that all instances communicate with each other via internal IPs, minimizing latency and maximizing throughput. What should you do?

   • ASet up a network peering between vpc-a and vpc-b.
   • BSet up a VPN between vpc-a and vpc-b using Cloud VPN.
   • CConfigure IAP TCP forwarding on the instance in vpc-b, and then launch the following gcloud command from one of the instances in vpc-a gcloud: gcloud compute start-iap-tunnel INSTANCE_NAME_IN_VPC_8 22 \ --local-host-port=localhost:22
   • D1. Create an additional instance in vpc-a. 2. Create an additional instance in vpc-b. 3. Install OpenVPN in newly created instances. 4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN.

   Show answer

   Answer: A

   Explanation

   definitely A. https://cloud.google.com/vpc/docs/vpc-peering Google Cloud VPC Network Peering allows internal IP address connectivity across two Virtual Private Cloud (VPC) networks regardless of whether they belong to the same project or the same organization.

   Source: Adapted from community discussion — zellck

   References

   • Google Cloud documentation

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10. Question 100 · 335 in bank

    You want to store critical business information in Cloud Storage buckets. The information is regularly changed, but previous versions need to be referenced on a regular basis. You want to ensure that there is a record of all changes to any information in these buckets. You want to ensure that accidental edits or deletions can be easily rolled back. Which feature should you enable?

    • ABucket Lock
    • BObject Versioning
    • CObject change notification
    • DObject Lifecycle Management

    Show answer

    Answer: B

    Explanation

    Object Versioning is a feature that allows you to store multiple versions of an object in Cloud Storage. Hence, answer should be B

    Source: Adapted from community discussion — namesgeo

    References

    • Google Cloud documentation

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PCA practice, question 91. 335 questions available.