PCA 2024 PT 2

Question 1

Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

Accepted Answer

Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.

Answer

Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.

Answer

Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP(S) load balancer to expose the different clusters over a single global IP address.

Answer

Use Cloud Debugger in the development environment to understand the latency between the different microservices.

Question 2

Your company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Filestore. Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

Accepted Answer

Configure a Kubernetes autoscaling deployment based on the subscription/num_undelivered_messages metric.

Answer

Use kubectl autoscale deployment APP_NAME --max 6 --min 2 --cpu-percent 50 to configure Kubernetes autoscaling deployment.

Answer

Configure a Kubernetes autoscaling deployment based on the subscription/push_request_latencies metric.

Answer

Use the --enable-autoscaling flag when you create the Kubernetes cluster.

Question 3

Your company is developing a web-based application. You need to make sure that production deployments are linked to source code commits and are fully auditable. What should you do?

Accepted Answer

Make the container tag match the source code commit hash.

Answer

Make sure a developer is tagging the code commit with the date and time of commit.

Answer

Make sure a developer is adding a comment to the commit that links to the deployment.

Answer

Make sure the developer is tagging the commits with latest.

Question 4

An application development team has come to you for advice. They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. Which approach should you recommend?

Accepted Answer

Develop the application for App Engine standard environment.

Answer

Develop the application with containers, and deploy to Google Kubernetes Engine.

Answer

Use a Managed Instance Group when deploying to Compute Engine.

Answer

Develop the application for App Engine flexible environment, using a custom runtime.

Question 5

Your company is designing its data lake on Google Cloud and wants to develop different ingestion pipelines to collect unstructured data from different sources. After the data is stored in Google Cloud, it will be processed in several data pipelines to build a recommendation engine for end users on the website. The structure of the data retrieved from the source systems can change at any time. The data must be stored exactly as it was retrieved for reprocessing purposes in case the data structure is incompatible with the current processing pipelines. You need to design an architecture to support the use case after you retrieve the data. What should you do?

Accepted Answer

Store the data in a Cloud Storage bucket. Design the processing pipelines to retrieve the data from the bucket.

Answer

Send the data through the processing pipeline, and then store the processed data in a BigQuery table for reprocessing.

Answer

Store the data in a BigQuery table. Design the processing pipelines to retrieve the data from the table.

Answer

Send the data through the processing pipeline, and then store the processed data in a Cloud Storage bucket for reprocessing.

Question 6

You are responsible for the Google Cloud environment in your company. Multiple departments need access to their own projects, and the members within each department will have the same project responsibilities. You want to structure your Google Cloud environment for minimal maintenance and maximum overview of IAM permissions as each department's projects start and end. You want to follow Google-recommended practices. What should you do?

Accepted Answer

Create a Google Group per department and add all department members to their respective groups. Create a folder per department and grant the respective group the required IAM permissions at the folder level. Add the projects under the respective folders.

Answer

Grant all department members the required IAM permissions for their respective projects.

Answer

Create a folder per department and grant the respective members of the department the required IAM permissions at the folder level. Structure all projects for each department under the respective folders.

Answer

Create a Google Group per department and add all department members to their respective groups. Grant each group the required IAM permissions for their respective projects.

Question 7

Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster. You have separate clusters for development, staging, and production. You have discovered that the team is able to deploy a Docker image to the production cluster without first testing the deployment in development and then staging. You want to allow the team to have autonomy but want to prevent this from happening. You want a Google Cloud solution that can be implemented quickly with minimal effort. What should you do?

Accepted Answer

Configure binary authorization policies for the development, staging, and production clusters. Create attestations as part of the continuous integration pipeline.

Answer

Configure a Kubernetes lifecycle hook to prevent the container from starting if it is not approved for usage in the given environment.

Answer

Implement a corporate policy to prevent teams from deploying Docker images to an environment unless the Docker image was tested in an earlier environment.

Answer

Create a Kubernetes admissions controller to prevent the container from starting if it is not approved for usage in the given environment.

Question 8

Your company wants to migrate their 10-TB on-premises database export into Cloud Storage. You want to minimize the time it takes to complete this activity, the overall cost, and database load. The bandwidth between the on-premises environment and Google Cloud is 1 Gbps. You want to follow Google-recommended practices. What should you do?

Accepted Answer

Use the Data Transfer appliance to perform an offline migration.

Answer

Develop a Dataflow job to read data directly from the database and write it into Cloud Storage.

Answer

Use a commercial partner ETL solution to extract the data from the on-premises database and upload it into Cloud Storage.

Answer

Compress the data and upload it with gsutil -m to enable multi-threaded copy.

Question 9

Your company has an enterprise application running on Compute Engine that requires high availability and high performance. The application has been deployed on two instances in two zones in the same region in active-passive mode. The application writes data to a persistent disk. In the case of a single zone outage, that data should be immediately made available to the other instance in the other zone. You want to maximize performance while minimizing downtime and data loss. What should you do?

Accepted Answer

1. Attach a regional SSD persistent disk to the first instance. 2. In case of a zone outage, force-attach the disk to the other instance.

Answer

1. Attach a persistent SSD disk to the first instance. 2. Create a snapshot every hour. 3. In case of a zone outage, recreate a persistent SSD disk in the second instance where data is coming from the created snapshot.

Answer

1. Create a Cloud Storage bucket. 2. Mount the bucket into the first instance with gcs-fuse. 3. In case of a zone outage, mount the Cloud Storage bucket to the second instance with gcs-fuse.

Answer

1. Attach a local SSD to the first instance disk. 2. Execute an rsync command every hour where the target is a persistent SSD disk attached to the second instance. 3. In case of a zone outage, use the second instance.

Question 10

You are designing a Data Warehouse on Google Cloud and want to store sensitive data in BigQuery. Your company requires you to generate the encryption keys outside of Google Cloud. You need to implement a solution. What should you do?

Accepted Answer

Import a key in Cloud KMS. Create a dataset in BigQuery using the customer-supplied key option and select the created key.

Answer

Generate a new key in Cloud Key Management Service (Cloud KMS). Store all data in Cloud Storage using the customer-managed key option and select the created key. Set up a Dataflow pipeline to decrypt the data and to store it in a new BigQuery dataset.

Answer

Generate a new key in Cloud KMS. Create a dataset in BigQuery using the customer-managed key option and select the created key.

Answer

Import a key in Cloud KMS. Store all data in Cloud Storage using the customer-managed key option and select the created key. Set up a Dataflow pipeline to decrypt the data and to store it in a new BigQuery dataset.

Question 11

Your organization has stored sensitive data in a Cloud Storage bucket. For regulatory reasons, your company must be able to rotate the encryption key used to encrypt the data in the bucket. The data will be processed in Dataproc. You want to follow Google-recommended practices for security. What should you do?

Accepted Answer

Create a key with Cloud Key Management Service (KMS). Set the encryption key on the bucket to the Cloud KMS key.

Answer

Create a key with Cloud Key Management Service (KMS). Encrypt the data using the encrypt method of Cloud KMS.

Answer

Generate a GPG key pair. Encrypt the data using the GPG key. Upload the encrypted data to the bucket.

Answer

Generate an AES-256 encryption key. Encrypt the data in the bucket using the customer-supplied encryption keys feature.

Question 12

Your team needs to create a Google Kubernetes Engine (GKE) cluster to host a newly built application that requires access to third-party services on the internet. Your company does not allow any Compute Engine instance to have a public IP address on Google Cloud. You need to create a deployment strategy that adheres to these guidelines. What should you do?

Accepted Answer

Configure the GKE cluster as a private cluster, and configure Cloud NAT Gateway for the cluster subnet.

Answer

Configure the GKE cluster as a private cluster. Configure Private Google Access on the Virtual Private Cloud (VPC).

Answer

Configure the GKE cluster as a route-based cluster. Configure Private Google Access on the Virtual Private Cloud (VPC).

Answer

Create a Compute Engine instance, and install a NAT Proxy on the instance. Configure all workloads on GKE to pass through this proxy to access third-party services on the Internet.

Question 13

Your company has a support ticketing solution that uses App Engine Standard. The project that contains the App Engine application already has a Virtual Private Cloud (VPC) network fully connected to the company's on-premises environment through a Cloud VPN tunnel. You want to enable the App Engine application to communicate with a database that is running in the company's on-premises environment. What should you do?

Accepted Answer

Configure serverless VPC access.

Answer

Configure private Google access for on-premises hosts only.

Answer

Configure private Google access.

Answer

Configure private services access.

Question 14

Your company is planning to upload several important files to Cloud Storage. After the upload is completed, they want to verify that the uploaded content is identical to what they have on-premises. You want to minimize the cost and effort of performing this check. What should you do?

Accepted Answer

1. Use gsutil -m to upload the files to Cloud Storage. 2. Use gsutil hash -c FILE_NAME to generate CRC32C hashes of all on-premises files. 3. Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files. 4. Compare the hashes.

Answer

1. Use Linux shasum to compute a digest of files you want to upload. 2. Use gsutil -m to upload all the files to Cloud Storage. 3. Use gsutil cp to download the uploaded files. 4. Use Linux shasum to compute a digest of the downloaded files. 5. Compare the hashes.

Answer

1. Use gsutil -m to upload the files to Cloud Storage. 2. Develop a custom Java application that computes CRC32C hashes. 3. Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files. 4. Compare the hashes.

Answer

1. Use gsutil -m to upload all the files to Cloud Storage. 2. Use gsutil cp to download the uploaded files. 3. Use Linux diff to compare the content of the files.

Question 15

You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company, you need to be alerted if request latency is above a certain threshold for a specified amount of time. What should you do?

Accepted Answer

Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO), and create an alerting policy based on this SLO.

Answer

Enable the Cloud Trace API on your project, and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics.

Answer

Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting policy in case this metric exceeds the threshold.

Answer

Configure Anthos Config Management on your cluster, and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster.

Question 16

Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asia. You want to reduce the latency for users in Asia. What should you do?

Accepted Answer

Use a global HTTP(s) load balancer with Cloud CDN enabled.

Answer

Create a second GKE cluster in asia-southeast1, and expose both APIs using a Service of type LoadBalancer. Add the public IPs to the Cloud DNS zone.

Answer

Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer.

Answer

Increase the memory and CPU allocated to the application in the cluster.

Question 17

You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud. You are unsure about the optimum CPU and memory options. The applications have a consistent usage pattern across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

Accepted Answer

Create a Compute Engine instance with CPU and memory options similar to your application's current on-premises virtual machine. Install the Cloud Monitoring agent, and deploy the third-party application. Run a load test with normal traffic levels on the application, and follow the Rightsizing Recommendations in the Cloud Console.

Answer

Create an instance template with the smallest available machine type, and use an image of the third-party application taken from a current on-premises virtual machine. Create a managed instance group that uses average CPU utilization to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.

Answer

Create an App Engine flexible environment, and deploy the third-party application using a Dockerfile and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.

Answer

Create multiple Compute Engine instances with varying CPU and memory options. Install the Cloud Monitoring agent, and deploy the third-party application on each of them. Run a load test with high traffic levels on the application, and use the results to determine the optimal settings.

Question 18

1. Your company has a Google Cloud project that uses BigQuery for data warehousing. They have a VPN tunnel between the on-premises environment and Google Cloud that is configured with Cloud VPN. The security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing. What should they do?

Accepted Answer

Configure VPC Service Controls and configure Private Google Access.

Answer

Configure Private Google Access for on-premises only.

Answer

Perform the following tasks: 1. Create a service account. 2. Give the BigQuery JobUser role and Storage Reader role to the service account. 3. Remove all other IAM access from the project.

Answer

Configure Private Google Access.

Question 19

You are working at an institution that processes medical data. You are migrating several workloads onto Google Cloud. Company policies require all workloads to run on physically separated hardware, and workloads from different clients must also be separated. You created a sole-tenant node group and added a node for each client. You need to deploy the workloads on these dedicated hosts. What should you do?

Accepted Answer

Use node affinity labels based on the node name when creating Compute Engine instances in order to host each workload on the correct node.

Answer

Add the node group name as a network tag when creating Compute Engine instances in order to host each workload on the correct node group.

Answer

Add the node name as a network tag when creating Compute Engine instances in order to host each workload on the correct node.

Answer

Use node affinity labels based on the node group name when creating Compute Engine instances in order to host each workload on the correct node group.

Question 20

Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on-premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?

Accepted Answer

Google Compute Engine managed instance groups with auto-scaling

Answer

Google Compute Engine unmanaged instance groups and Network Load Balancer

Answer

Google Cloud Dataproc to run Apache Hadoop jobs to process each test

Answer

Google App Engine with Google StackDriver for logging

Question 21

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 properly on Google Cloud Platform. What should you do?

Accepted Answer

Meet with the cloud operations team and the engineer to discuss load balancer options

Answer

Help the engineer to convert his websocket code to use HTTP streaming

Answer

Review the encryption requirements for websocket connections with the security team

Answer

Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.

Question 22

The application reliability team at your company this added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss. Which process should you implement?

Accepted Answer

ג€¢ Append metadata to file body ג€¢ Compress individual files ג€¢ Name files with a random prefix pattern ג€¢ Save files to one bucket

Answer

ג€¢ Append metadata to file body ג€¢ Compress individual files ג€¢ Name files with serverName ג€" Timestamp ג€¢ Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket. Otherwise, save files to existing bucket.

Answer

ג€¢ Batch every 10,000 events with a single manifest file for metadata ג€¢ Compress event files and manifest file into a single archive file ג€¢ Name files using serverName ג€" EventSequence ג€¢ Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.

Answer

ג€¢ Compress individual files ג€¢ Name files with serverName ג€" EventSequence ג€¢ Save files to one bucket ג€¢ Set custom metadata headers for each object after saving

Question 23

A recent audit revealed that a new network was created in your GCP project. In this network, a GCE instance has an SSH port open to the world. You want to discover this network's origin. What should you do?

Accepted Answer

In the Logging section of the console, specify GCE Network as the logging section. Search for the Create Insert entry

Answer

Search for Create VM entry in the Stackdriver alerting console

Answer

Navigate to the Activity page in the Home section. Set category to Data Access and search for Create VM entry

Answer

Connect to the GCE instance using project SSH keys. Identify previous logins in system logs, and match these with the project owners list

Question 24

You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instance in a different project in the US-East region. What steps must you take?

Accepted Answer

Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file the root disk.

Answer

Use the Linux dd and netcat commands to copy and stream the root disk contents to a new virtual machine instance in the US-East region.

Answer

Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.

Answer

Create an image file from the root disk with Linux dd command, create a new virtual machine instance in the US-East region

Question 25

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?

Accepted Answer

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

Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.

Answer

Use gcsfise to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump.

Answer

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

Question 26

You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? (Choose three.)

Accepted Answer

Ensure that the load tests validate the performance of Cloud Bigtable

Accepted Answer

Create a separate Google Cloud project to use for the load-testing environment

Accepted Answer

Instrument the load-testing tool and the target services with detailed logging and metrics collection

Answer

Schedule the load-testing tool to regularly run against the production environment

Answer

Ensure all third-party systems your services use is capable of handling high load

Answer

Instrument the production services to record every transaction for replay by the load-testing tool

Question 27

Your customer is moving their corporate applications to Google Cloud Platform. The security team wants detailed visibility of all projects in the organization. You provision the Google Cloud Resource Manager and set up yourself as the org admin. What Google Cloud Identity and Access Management (Cloud IAM) roles should you give to the security team?

Accepted Answer

Org viewer, project viewer

Answer

Org viewer, project owner

Answer

Org admin, project browser

Answer

Project owner, network admin

Question 28

Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced. Which two actions can you take? (Choose two.)

Accepted Answer

Use source code security analyzers as part of the CI/CD pipeline

Accepted Answer

Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline

Answer

Ensure every code check-in is peer reviewed by a security SME

Answer

Ensure you have stubs to unit test all interfaces between components

Answer

Enable code signing and a trusted binary repository integrated with your CI/CD pipeline

Question 29

You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes. What should you do?

Accepted Answer

Update the existing Kubernetes Engine cluster with the following command: gcloud alpha container clusters update mycluster - -enable- autoscaling - -min-nodes=1 - -max-nodes=10

Answer

Add additional nodes to your Kubernetes Engine cluster using the following command: gcloud container clusters resize CLUSTER_Name ג€" -size 10

Answer

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

Answer

Create a new Kubernetes Engine cluster with the following command: gcloud alpha container clusters create mycluster - -enable- autoscaling - -min-nodes=1 - -max-nodes=10 and redeploy your application

Question 30

Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-through per day. The link leads to a simple website that explains the promotion and collects user information and preferences. Which infrastructure should you recommend? (Choose two.)

Accepted Answer

Use Google App Engine to serve the website and Google Cloud Datastore to store user data.

Accepted Answer

Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.

Answer

Use a Google Container Engine cluster to serve the website and store data to persistent disk.

Answer

Use a single Compute Engine virtual machine (VM) to host a web server, backend by Google Cloud SQL.

Question 31

Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? (Choose two.)

Accepted Answer

Google Kubernetes Engine with containers

Accepted Answer

Google App Engine Standard Environment

Answer

Compute Engine with containers

Answer

Compute Engine with custom instance types

Answer

Compute Engine with managed instance groups

Question 32

One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data. How can you design your logging system to verify authenticity of your logs?

Accepted Answer

Digitally sign each timestamp and log entry and store the signature

Answer

Write the log concurrently in the cloud and on premises

Answer

Use a SQL database and limit who can modify the log table

Answer

Create a JSON dump of each log entry and store it in Google Cloud Storage

Question 33

Your company has a Google Workspace account and Google Cloud Organization. Some developers in the company have created Google Cloud projects outside of the Google Cloud Organization. You want to create an Organization structure that allows developers to create projects, but prevents them from modifying production projects. You want to manage policies for all projects centrally and be able to set more restrictive policies for production projects. You want to minimize disruption to users and developers when business needs change in the future. You want to follow Google-recommended practices. Now should you design the Organization structure?

Accepted Answer

1. Create folders under the Organization resource named ג€Developmentג€ and ג€Production.ג€ 2. Grant all developers the Project Creator IAM role on the ג€Developmentג€ folder. 3. Move the developer projects into the ג€Developmentג€ folder. 4. Set the policies for all projects on the Organization. 5. Additionally, set the production policies on the ג€Productionג€ folder.

Answer

1. Create a second Google Workspace account and Organization. 2. Grant all developers the Project Creator IAM role on the new Organization. 3. Move the developer projects into the new Organization. 4. Set the policies for all projects on both Organizations. 5. Additionally, set the production policies on the original Organization.

Answer

1. Create a folder under the Organization resource named ג€Production.ג€ 2. Grant all developers the Project Creator IAM role on the new Organization. 3. Move the developer projects into the new Organization. 4. Set the policies for all projects on the Organization. 5. Additionally, set the production policies on the ג€Productionג€ folder.

Answer

1. Designate the Organization for production projects only. 2. Ensure that developers do not have the Project Creator IAM role on the Organization. 3. Create development projects outside of the Organization using the developer Google Workspace accounts. 4. Set the policies for all projects on the Organization. 5. Additionally, set the production policies on the individual production projects.

Question 34

Your company has an application running on Compute Engine that allows users to play their favorite music. There are a fixed number of instances. Files are stored in Cloud Storage, and data is streamed directly to users. Users are reporting that they sometimes need to attempt to play popular songs multiple times before they are successful. You need to improve the performance of the application. What should you do?

Accepted Answer

1. Create a managed instance group with Compute Engine instances. 2. Create a global load balancer and configure it with two backends: ג—‹ Managed instance group ג—‹ Cloud Storage bucket 3. Enable Cloud CDN on the bucket backend.

Answer

1. Mount the Cloud Storage bucket using gcsfuse on all backend Compute Engine instances. 2. Serve music files directly from the backend Compute Engine instance.

Answer

1. Create a Cloud Filestore NFS volume and attach it to the backend Compute Engine instances. 2. Download popular songs in Cloud Filestore. 3. Serve music files directly from the backend Compute Engine instance.

Answer

1. Copy popular songs into CloudSQL as a blob. 2. Update application code to retrieve data from CloudSQL when Cloud Storage is overloaded.

Question 35

The operations team in your company wants to save Cloud VPN log events for one year. You need to configure the cloud infrastructure to save the logs. What should you do?

Accepted Answer

Set up a filter in Cloud Logging and a Cloud Storage bucket as an export target for the logs you want to save.

Answer

Enable the Compute Engine API, and then enable logging on the firewall rules that match the traffic you want to save.

Answer

Set up a Cloud Logging Dashboard titled Cloud VPN Logs, and then add a chart that queries for the VPN metrics over a one-year time period.

Answer

Set up a filter in Cloud Logging and a topic in Pub/Sub to publish the logs.

Question 36

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 (PII). You need to process and store the data without storing any of the PIIE data. What should you do?

Accepted Answer

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 PII data. Store the result in BigQuery.

Answer

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 PII data in a Cloud Storage bucket that has a retention policy set.

Answer

Ask the external partners to upload all 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 DLP) API to remove any PII data. Store the result in BigQuery.

Answer

Ask the external partners to import all 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 PII data

Question 37

You want to allow your operations team to store logs from all the production projects in your Organization, without including logs from other projects. All of the production projects are contained in a folder. You want to ensure that all logs for existing and new production projects are captured automatically. What should you do?

Accepted Answer

Create an aggregated export on the Production folder. Set the log sink to be a Cloud Storage bucket in an operations project.

Answer

Create an aggregated export on the Organization resource. Set the log sink to be a Cloud Storage bucket in an operations project.

Answer

Create log exports in the production projects. Set the log sinks to be a Cloud Storage bucket in an operations project.

Answer

D. Create log exports in the production projects. Set the log sinks to be BigQuery datasets in the production projects, and grant IAM access to the operations team to run queries on the datasets.

Question 38

Your company has an application that is running on multiple instances of Compute Engine. It generates 1 TB per day of logs. For compliance reasons, the logs need to be kept for at least two years. The logs need to be available for active query for 30 days. After that, they just need to be retained for audit purposes. You want to implement a storage solution that is compliant, minimizes costs, and follows Google-recommended practices. What should you do?

Accepted Answer

1. Install a Cloud Logging agent on all instances. 2. Create a sink to export logs into a regional Cloud Storage bucket. 3. Create an Object Lifecycle rule to move files into a Coldline Cloud Storage bucket after one month. 4. Configure a retention policy at the bucket level using bucket lock.

Answer

1. Write a daily cron job, running on all instances, that uploads logs into a Cloud Storage bucket. 2. Create a sink to export logs into a regional Cloud Storage bucket. 3. Create an Object Lifecycle rule to move files into a Coldline Cloud Storage bucket after one month.

Answer

1. Install a Cloud Logging agent on all instances. 2. Create a sink to export logs into a partitioned BigQuery table. 3. Set a time_partitioning_expiration of 30 days.

Answer

1. Create a daily cron job, running on all instances, that uploads logs into a partitioned BigQuery table. 2. Set a time_partitioning_expiration of 30 days.

Question 39

Your company has just recently activated Cloud Identity to manage users. The Google Cloud Organization has been configured as well. The security team needs to secure projects that will be part of the Organization. They want to prohibit IAM users outside the domain from gaining permissions from now on. What should they do?

Accepted Answer

Configure an organization policy to restrict identities by domain.

Answer

Configure an organization policy to block creation of service accounts.

Answer

Configure Cloud Scheduler to trigger a Cloud Function every hour that removes all users that don't belong to the Cloud Identity domain from all projects.

Answer

Create a technical user (e.g., crawler@yourdomain.com), and give it the project owner role at root organization level. Write a bash script that: ג€¢ Lists all the IAM rules of all projects within the organization. ג€¢ Deletes all users that do not belong to the company domain. Create a Compute Engine instance in a project within the Organization and configure gcloud to be executed with technical user credentials. Configure a cron job that executes the bash script every hour.

Question 40

Your company has an application running on Google Cloud that is collecting data from thousands of physical devices that are globally distributed. Data is published to Pub/Sub and streamed in real time into an SSD Cloud Bigtable cluster via a Dataflow pipeline. The operations team informs you that your Cloud Bigtable cluster has a hotspot, and queries are taking longer than expected. You need to resolve the problem and prevent it from happening in the future. What should you do?

Accepted Answer

Review your RowKey strategy and ensure that keys are evenly spread across the alphabet.

Answer

Advise your clients to use HBase APIs instead of NodeJS APIs.

Answer

Delete records older than 30 days.

Answer

Double the number of nodes you currently have.

Question 41

Your company has a Google Cloud project that uses BigQuery for data warehousing. There are some tables that contain personally identifiable information (PII). Only the compliance team may access the PII. The other information in the tables must be available to the data science team. You want to minimize cost and the time it takes to assign appropriate access to the tables. What should you do?

Accepted Answer

1. Create a dataset for the data science team. 2. Create views of tables that you want to share, excluding PII. 3. Assign an appropriate project-level IAM role to the members of the data science team. 4. Assign access controls to the dataset that contains the view. 5. Authorize the view to access the source dataset.

Answer

1. From the dataset where you have the source data, create views of tables that you want to share, excluding PII. 2. Assign an appropriate project-level IAM role to the members of the data science team. 3. Assign access controls to the dataset that contains the view.

Answer

1. From the dataset where you have the source data, create materialized views of tables that you want to share, excluding PII. 2. Assign an appropriate project-level IAM role to the members of the data science team. 3. Assign access controls to the dataset that contains the view.

Answer

1. Create a dataset for the data science team. 2. Create materialized views of tables that you want to share, excluding PII. 3. Assign an appropriate project-level IAM role to the members of the data science team. 4. Assign access controls to the dataset that contains the view. 5. Authorize the view to access the source dataset.

PCA 2024 PT 2

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