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NEW QUESTION # 206
You want to automate the creation of a managed instance group. The VMs have many OS package dependencies. You want to minimize the startup time for new VMs in the instance group.
What should you do?
- A. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
- B. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
- C. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.
- D. Use Puppet to create the managed instance group and install the OS package dependencies.
Answer: C
NEW QUESTION # 207
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?
- A. Load data into Google BigQuery.
- B. Put flat files into Google Cloud Storage.
- C. Insert data into Google Cloud SQL.
- D. Stream data into Google Cloud Datastore.
Answer: A
NEW QUESTION # 208
Case Study: 9 - Helicopter Racing League
Company overview
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Solution concept
HRL wants to migrate their existing service to a new platform to expand their use of managed AI and ML services to facilitate race predictions. Additionally, as new fans engage with the sport, particularly in emerging regions, they want to move the serving of their content, both real-time and recorded, closer to their users.
Existing technical environment
HRL is a public cloud-first company; the core of their mission-critical applications runs on their current public cloud provider. Video recording and editing is performed at the race tracks, and the content is encoded and transcoded, where needed, in the cloud. Enterprise-grade connectivity and local compute is provided by truck-mounted mobile data centers. Their race prediction services are hosted exclusively on their existing public cloud provider. Their existing technical environment is as follows:
- Existing content is stored in an object storage service on their existing public cloud provider.
- Video encoding and transcoding is performed on VMs created for each job.
- Race predictions are performed using TensorFlow running on VMs in the current public cloud
provider.
Business requirements
HRL's owners want to expand their predictive capabilities and reduce latency for their viewers in emerging markets. Their requirements are:
- Support ability to expose the predictive models to partners.
- Increase predictive capabilities during and before races:
*Race results
*Mechanical failures
*Crowd sentiment
- Increase telemetry and create additional insights.
- Measure fan engagement with new predictions.
- Enhance global availability and quality of the broadcasts.
- Increase the number of concurrent viewers.
- Minimize operational complexity.
- Ensure compliance with regulations.
- Create a merchandising revenue stream.
Technical requirements
- Maintain or increase prediction throughput and accuracy.
- Reduce viewer latency.
- Increase transcoding performance.
- Create real-time analytics of viewer consumption patterns and engagement.
- Create a data mart to enable processing of large volumes of race data.
Executive statement
Our CEO, S. Hawke, wants to bring high-adrenaline racing to fans all around the world. We listen to our fans, and they want enhanced video streams that include predictions of events within the race (e.g., overtaking). Our current platform allows us to predict race outcomes but lacks the facility to support real-time predictions during races and the capacity to process season-long results.
Helicopter Racing League (HRL) offers premium contents and, among their business requirements, has:
- To increase the number of concurrent viewers and
- To create a merchandising revenue stream
So, they want to offer service subscriptions for their and partner services and manage monetization, pay-as-use management, flat-use control, and rate-limiting. All the functionalities that can assure a managed revenue stream in the simplest way. Which is the best GCP Service to achieve that?
- A. Cloud Tasks
- B. Cloud Endpoints
- C. API Gateway
- D. Apigee
- E. Cloud Billing
Answer: D
NEW QUESTION # 209
You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely. Where should you store the credentials?
- A. In a config file that has restricted access through ACLs
- B. In a secret management system
- C. In an environment variable
- D. In the source code
Answer: C
NEW QUESTION # 210
Your company acquired a healthcare startup and must retain its customers' medical information for up to 4 more years, depending on when it was created. Your corporate policy is to securely retain this data, and then delete it as soon as regulations allow.
Which approach should you take?
- A. Store the data in Google Drive and manually delete records as they expire.
- B. Store the data in Cloud Storage and run a nightly batch script that deletes all expired datA.
- C. Store the data using the Cloud Storage and use lifecycle management to delete files when they expire.
- D. Anonymize the data using the Cloud Data Loss Prevention API and store it indefinitely.
Answer: C
Explanation:
Reference:
https://cloud.google.com/storage/docs/lifecycle
NEW QUESTION # 211
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?
- A. Replace the existing data warehouse with BigQuery. Use federated data sources.
- B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
- C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
- D. Replace the existing data warehouse with BigQuery. Use table partitioning.
Answer: A
Explanation:
Reference:
https://cloud.google.com/solutions/bigquery-data-warehouse#external_sources
https://cloud.google.com/solutions/bigquery-data-warehouse
NEW QUESTION # 212
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 2 answers.
- A. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
- B. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
- C. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
- D. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
Answer: B,C
Explanation:
References: https://cloud.google.com/storage-options/
NEW QUESTION # 213
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. Use the identifiers to create a query filter and run a batch query operation
- B. Create the Key object for each Entity and run multiple get operations, one operation for each entity
- C. Create the Key object for each Entity and run a batch get operation
- D. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
Answer: C
NEW QUESTION # 214
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 verify the new space is ready to use with the fdisk command in Linux.
- B. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
- C. Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
- 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: B
NEW QUESTION # 215
Your company has a networking team and a development team. The development team runs applications on Compute Engine instances that contain sensitive data. The development team requires administrative permissions for Compute Engine. Your company requires all network resources to be managed by the networking team. The development team does not want the networking team to have access to the sensitive data on the instances. What should you do?
- A. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2. Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3. Use VPC Peering to join the two VPCs. - B. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2. Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3. Use Cloud VPN to join the two VPCs. - C. 1. Create a project with a Shared VPC and assign the Network Admin role to the networking team.
2. Create a second project without a VPC, configure it as a Shared VPC service project, and assign the Compute Admin role to the development team. - D. 1. Create a project with a standalone Virtual Private Cloud (VPC), assign the Network Admin role to the networking team, and assign the Compute Admin role to the development team.
Answer: C
Explanation:
https://cloud.google.com/iam/docs/job-
functions/networking#single_team_manages_security_network_for_organization In this scenario, a large organization has a central team that manages security and networking controls for the entire organization. Developers do not have permissions to make changes to any network or security settings defined by the security and networking team but they are granted permission to create resources such as virtual machines in shared subnets.
To facilitate this the organization makes use of a shared VPC (Virtual Private Cloud). A shared VPC allows creation of a VPC network of RFC 1918 IP spaces that associated projects (service projects) can then use. Developers using the associated projects can create VM instances in the shared VPC network spaces. The organization's network and security admins can create subnets, VPNs, and firewall rules usable by all the projects in the VPC network
NEW QUESTION # 216
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?
- A. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
- B. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.
- C. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
- D. Create an App Engine web application where users can upload images for the next 24 hours.Authenticate users via Cloud Identity.
Answer: B
Explanation:
Explanation
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud-storage-by-usin
NEW QUESTION # 217
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. Create a cloud router to advertise subnet #2 and subnet #3 to subnet #1.
- C. 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. - 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 # 218
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for hybrid connectivity between EHR's on-premises systems and Google Cloud. You want to follow Google's recommended practices for production-level applications. Considering the EHR Healthcare business and technical requirements, what should you do?
- A. Configure two Dedicated Interconnect connections in one metro (City) and two connections in another metro, and make sure the Interconnect connections are placed in different metro zones.
- B. Configure two VPN connections from on-premises to Google Cloud, and make sure the VPN devices on-premises are in separate racks.
- C. Configure two Partner Interconnect connections in one metro (City), and make sure the Interconnect connections are placed in different metro zones.
- D. Configure Direct Peering between EHR Healthcare and Google Cloud, and make sure you are peering at least two Google locations.
Answer: A
Explanation:
based on the requirement of secure and high-performance connection between on-premises systems to Google Cloud
https://cloud.google.com/network-connectivity/docs/interconnect/tutorials/partner-creating-9999-availability
NEW QUESTION # 219
For this question, refer to the Dress4Win case study. Considering the given business requirements, how
would you automate the deployment of web and transactional data layers?
- A. Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL
server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager. - B. Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher.
Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts. - C. Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL
server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher. - D. Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy
Jenkins to Compute Engine using Cloud Launcher.
Answer: C
NEW QUESTION # 220
You want to automate the creation of a managed instance group and a startup script to install the OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?
- A. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
- B. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
- C. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.
- D. Use Puppet to create the managed instance group and install the OS package dependencies.
Answer: C
Explanation:
"Custom images are more deterministic and start more quickly than instances with startup scripts. However, startup scripts are more flexible and let you update the apps and settings in your instances more easily."
https://cloud.google.com/compute/docs/instance-templates/create-instance-templates#using_custom_or_public_
NEW QUESTION # 221
You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with
HTTP status codes of 5xx and 429.
How should you handle these types of errors?
- A. Monitor https://status.cloud.google.com/feed.atom and only make requests if Cloud Storage is not
reporting an incident. - B. Implement retry logic using a truncated exponential backoff strategy.
- C. Use gRPC instead of HTTP for better performance.
- D. Make sure the Cloud Storage bucket is multi-regional for geo-redundancy.
Answer: B
Explanation:
Explanation/Reference:
Reference https://cloud.google.com/storage/docs/json_api/v1/status-codes
NEW QUESTION # 222
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