PCA practice questions 21–30

1. Question 21 · 335 in bank

   Your company is designing its application landscape on Compute Engine. Whenever a zonal outage occurs, the application should be restored in another zone as quickly as possible with the latest application data. You need to design the solution to meet this requirement. What should you do?

   • ACreate a snapshot schedule for the disk containing the application data. Whenever a zonal outage occurs, use the latest snapshot to restore the disk in the same zone.
   • BConfigure the Compute Engine instances with an instance template for the application, and use a regional persistent disk for the application data. Whenever a zonal outage occurs, use the instance template to spin up the application in another zone in the same region. Use the regional persistent disk for the application data.
   • CCreate a snapshot schedule for the disk containing the application data. Whenever a zonal outage occurs, use the latest snapshot to restore the disk in another zone within the same region.
   • DConfigure the Compute Engine instances with an instance template for the application, and use a regional persistent disk for the application data. Whenever a zonal outage occurs, use the instance template to spin up the application in another region. Use the regional persistent disk for the application data.

   Show answer

   Answer: B

   Explanation

   Answer is B, it only request zonal resiliency. Regional persistent disk is a storage option that provides synchronous replication of data between two zones in a region. Regional persistent disks can be a good building block to use when you implement HA services in Compute Engine. https://cloud.google.com/compute/docs/disks/high-availability-regional-persistent-disk

   Source: Adapted from community discussion — TotoroChina

   References

   • Google Cloud documentation

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2. Question 22 · 335 in bank

   Your company has just acquired another company, and you have been asked to integrate their existing Google Cloud environment into your company's data center. Upon investigation, you discover that some of the RFC 1918 IP ranges being used in the new company's Virtual Private Cloud (VPC) overlap with your data center IP space. What should you do to enable connectivity and make sure that there are no routing conflicts when connectivity is established?

   • ACreate a Cloud VPN connection from the new VPC to the data center, create a Cloud Router, and apply new IP addresses so there is no overlapping IP space.
   • BCreate a Cloud VPN connection from the new VPC to the data center, and create a Cloud NAT instance to perform NAT on the overlapping IP space.
   • CCreate a Cloud VPN connection from the new VPC to the data center, create a Cloud Router, and apply a custom route advertisement to block the overlapping IP space.
   • DCreate a Cloud VPN connection from the new VPC to the data center, and apply a firewall rule that blocks the overlapping IP space.

   Show answer

   Answer: B

   Explanation

   You can't use Cloud NAT according to this documentation: https://cloud.google.com/nat/docs/troubleshooting#overlapping-ip-addresses "Can I use Cloud NAT to connect a VPC network to another network to work around overlapping IP addresses? No, Cloud NAT cannot apply to any custom route whose next hop is not the default internet gateway. For example, Cloud NAT cannot apply to traffic sent to a next hop Cloud VPN tunnel, even if the destination is a publicly routable IP address."

   Source: Adapted from community discussion — elenamatay

   References

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

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3. Question 23 · 335 in bank

   You need to migrate Hadoop jobs for your company's Data Science team without modifying the underlying infrastructure. You want to minimize costs and infrastructure management effort. What should you do?

   • ACreate a Dataproc cluster using standard worker instances.
   • BCreate a Dataproc cluster using preemptible worker instances.
   • CManually deploy a Hadoop cluster on Compute Engine using standard instances.
   • DManually deploy a Hadoop cluster on Compute Engine using preemptible instances.

   Show answer

   Answer: B

   Explanation

   It's A, the primary workers can only be standard, where secondary workers can be preemtible.------In addition to using standard Compute Engine VMs as Dataproc workers (called "primary" workers), Dataproc clusters can use "secondary" workers. There are two types of secondary workers: preemptible and non-preemptible. All secondary workers in your cluster must be of the same type, either preemptible or non-preemptible. The default is preemptible.

   Source: Adapted from community discussion — firecloud

   References

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

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4. Question 24 · 335 in bank

   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?

   • AGoogle Cloud Dataproc
   • BGoogle Cloud Dataflow
   • CGoogle Container Engine with Bigtable
   • DGoogle Compute Engine with Google BigQuery

   Show answer

   Answer: B

   Explanation

   All four options can accomplish what the question asks, in regards to batching and streaming processes. "A" is for Apache Spark and Hadoop, a juggernaut in speed of data processing. "B" is Google's best attempt at TIBCO, Ab Initio, and other processing technology, built explicity for visualizing batch operations and streams without through various labeled circuit boards. "C" and "D" are used within "A" and "B" and would require more work and higher risk. I'd guess Google wants you to select "B"

   Source: Adapted from community discussion — Eroc

   References

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

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5. Question 25 · 335 in bank

   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?

   • ACreate a cloud router to advertise subnet #2 and subnet #3 to subnet #1.
   • BAdd two additional NICs to Instance #1 with the following configuration: ג€¢ NIC1 ג—‹ VPC: VPC #2 ג—‹ SUBNETWORK: subnet #2 ג€¢ NIC2 ג—‹ VPC: VPC #3 ג—‹ SUBNETWORK: subnet #3 Update firewall rules to enable traffic between instances.
   • CCreate two VPN tunnels via CloudVPN: ג€¢ 1 between VPC #1 and VPC #2. ג€¢ 1 between VPC #2 and VPC #3. Update firewall rules to enable traffic between the instances.
   • DPeer all three VPCs: ג€¢ Peer VPC #1 with VPC #2. ג€¢ Peer VPC #2 with VPC #3. Update firewall rules to enable traffic between the instances.

   Show answer

   Answer: B

   Explanation

   According to my understanding the requirement is that only VM1 shall be able to communicate with VM2 and VM3, but not VM2 with VM3. We can exclude d) as d) would enable VM2 to communicate with VM3 as well - my assumption is, that if the quizzer wanted that d) is the correct answer, he would make just 2 peerings - 1x between VM1 and VM2 and 1x between VM1 and VM3 repectively the VPCs. We can exclude c) as well - there is no connection between VPC1 and VPC3. IMHO a) will not work. So the only correct answer seems to be b) - what I don't understand is why we have to update the firewall rules as IMHO the default firewall rules enable such communication (maybe some restrictive rules are implemented - not enough details in the question to clarify that part). Please correct me if I am wrong.

   Source: Adapted from community discussion — XDevX

   References

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

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6. Question 26 · 335 in bank

   You need to deploy an application on Google Cloud that must run on a Debian Linux environment. The application requires extensive configuration in order to operate correctly. You want to ensure that you can install Debian distribution updates with minimal manual intervention whenever they become available. What should you do?

   • ACreate a Compute Engine instance template using the most recent Debian image. Create an instance from this template, and install and configure the application as part of the startup script. Repeat this process whenever a new Google-managed Debian image becomes available.
   • BCreate a Debian-based Compute Engine instance, install and configure the application, and use OS patch management to install available updates.
   • CCreate an instance with the latest available Debian image. Connect to the instance via SSH, and install and configure the application on the instance. Repeat this process whenever a new Google-managed Debian image becomes available.
   • DCreate a Docker container with Debian as the base image. Install and configure the application as part of the Docker image creation process. Host the container on Google Kubernetes Engine and restart the container whenever a new update is available.

   Show answer

   Answer: B

   Explanation

   B. Create a Debian-based Compute Engine instance, install and configure the application, and use OS patch management to install available updates.

   Source: Adapted from community discussion — victory108

   References

   • Google Cloud documentation
   • Google Cloud documentation

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7. Question 27 · 335 in bank

   You have an application that runs in Google Kubernetes Engine (GKE). Over the last 2 weeks, customers have reported that a specific part of the application returns errors very frequently. You currently have no logging or monitoring solution enabled on your GKE cluster. You want to diagnose the problem, but you have not been able to replicate the issue. You want to cause minimal disruption to the application. What should you do?

   • A1. Update your GKE cluster to use Cloud Operations for GKE. 2. Use the GKE Monitoring dashboard to investigate logs from affected Pods.
   • B1. Create a new GKE cluster with Cloud Operations for GKE enabled. 2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster. 3. Use the GKE Monitoring dashboard to investigate logs from affected Pods.
   • C1. Update your GKE cluster to use Cloud Operations for GKE, and deploy Prometheus. 2. Set an alert to trigger whenever the application returns an error.
   • D1. Create a new GKE cluster with Cloud Operations for GKE enabled, and deploy Prometheus. 2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster. 3. Set an alert to trigger whenever the application returns an error.

   Show answer

   Answer: A

   Explanation

   IMHO a) is the correct answer, not c) The point is, that we have a scenario in that often errors in GKE happen - within 2 week a lot of people complained about a lot of errors. For the past we have no data at all as we have not monitored anything. That means we will collect data from now on to find out what the problem is. The additional value of an alert is not clear - and it for me not clear why we need additionally to install Prometheus considering that until now we had no GKE monitoring at all. Please correct me if I am wrong.

   Source: Adapted from community discussion — XDevX

   References

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

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8. Question 28 · 335 in bank

   You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

   • AUse a persistent disk for each instance.
   • BUse a regional persistent disk for each instance.
   • CCreate a Cloud Filestore instance and mount it in each instance.
   • DCreate a Cloud Storage bucket and mount it in each instance using gcsfuse.

   Show answer

   Answer: C

   Explanation

   Cloud Filestore: Cloud Filestore is a scalable and highly available shared file service fully managed by Google. Cloud Filestore provides persistent storage ideal for shared workloads. It is best suited for enterprise applications requiring persistent, durable, shared storage which is accessed by NFS or requires a POSIX compliant file system. https://cloud.google.com/terms/services-20180724

   Source: Adapted from community discussion — deenee

   References

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

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9. Question 29 · 335 in bank

   Your company has an application deployed on Anthos clusters (formerly Anthos GKE) that is running multiple microservices. The cluster has both Anthos Service Mesh and Anthos Config Management configured. End users inform you that the application is responding very slowly. You want to identify the microservice that is causing the delay. What should you do?

   • AUse the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.
   • BUse Anthos Config Management to create a ClusterSelector selecting the relevant cluster. On the Google Cloud Console page for Google Kubernetes Engine, view the Workloads and filter on the cluster. Inspect the configurations of the filtered workloads.
   • CUse Anthos Config Management to create a namespaceSelector selecting the relevant cluster namespace. On the Google Cloud Console page for Google Kubernetes Engine, visit the workloads and filter on the namespace. Inspect the configurations of the filtered workloads.
   • DReinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.

   Show answer

   Answer: A

   Explanation

   The Anthos Service Mesh pages in the Google Cloud Console provide both summary and in-depth metrics, charts, and graphs that enable you to observe service behavior. You can monitor the overall health of your services, or drill down on a specific service to set a service level objective (SLO) or troubleshoot an issue. https://cloud.google.com/service-mesh/docs/observability/explore-dashboard

   Source: Adapted from community discussion — AnilKr

   References

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

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10. Question 30 · 335 in bank

    You are working at a financial institution that stores mortgage loan approval documents on Cloud Storage. Any change to these approval documents must be uploaded as a separate approval file, so you want to ensure that these documents cannot be deleted or overwritten for the next 5 years. What should you do?

    • ACreate a retention policy on the bucket for the duration of 5 years. Create a lock on the retention policy.
    • BCreate the bucket with uniform bucket-level access, and grant a service account the role of Object Writer. Use the service account to upload new files.
    • CUse a customer-managed key for the encryption of the bucket. Rotate the key after 5 years.
    • DCreate the bucket with fine-grained access control, and grant a service account the role of Object Writer. Use the service account to upload new files.

    Show answer

    Answer: A

    Explanation

    Answer A o If a bucket has a retention policy, objects in the bucket can only be deleted or replaced once their age is greater than the retention period. o Once you lock a retention policy, you cannot remove it or reduce the retention period it has.

    Source: Adapted from community discussion — VishalB

    References

    • Google Cloud documentation

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PCA practice, question 21. 335 questions available.