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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q211-Q216):

NEW QUESTION # 211
You are designing a mobile chat application. You want to ensure that people cannot spoof chat messages by proving that a message was sent by a specific user. What should you do?

  • A. Encrypt the message client-side using block-based encryption with a shared key.
  • B. Tag messages client-side with the originating user identifier and the destination user.
  • C. Use a trusted certificate authority to enable SSL connectivity between the client application and the server.
  • D. Use public key infrastructure (PKI) to encrypt the message client-side using the originating user's private key.

Answer: D Explanation:
A is not correct because although this would encrypt the message, it does not validate either the client or the server.
B is not correct because a malicious actor could spoof the user identifier and destination user information.
C is not correct because SSL only requires the server to have a signed certificate and does not require validating the client.
D is correct because PKI requires that both the server and the client have signed certificates, validating both the client and the server.
NEW QUESTION # 212
Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?

  • A. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
  • B. Capture existing users input, and replay captured user load until resource utilization crosses 80%.
    Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.
  • C. Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.
  • D. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.

Answer: B
NEW QUESTION # 213
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for securely deploying workloads to Google Cloud. You also need to ensure that only verified containers are deployed using Google Cloud services. What should you do? (Choose two.)

  • A. Configure Container Registry to use vulnerability scanning to confirm that there are no vulnerabilities before deploying the workload.
  • B. Enable Binary Authorization on GKE, and sign containers as part of a CI/CD pipeline.
  • C. Configure Container Registry to only allow trusted service accounts to create and deploy containers from the registry.
  • D. Configure Jenkins to utilize Kritis to cryptographically sign a container as part of a CI/CD pipeline.

Answer: A,B Explanation:
Reference:
Binary Authorization to ensure only verified containers are deployed To ensure deployment are secure and and consistent, automatically scan images for vulnerabilities with container analysis (https://cloud.google.com/docs/ci-cd/overview?hl=en&skip_cache=true)
NEW QUESTION # 214
You are analyzing and defining business processes to support your startup's trial usage of GCP, and you don't yet know what consumer demand for your product will be. Your manager requires you to minimize GCP service costs and adhere to Google best practices. What should you do?

  • A. Utilize free tier and committed use discounts. Provide training to the team about service cost management.
  • B. Utilize free tier and sustained use discounts. Provide training to the team about service cost management.
  • C. Utilize free tier and committed use discounts. Provision a staff position for service cost management.
  • D. Utilize free tier and sustained use discounts. Provision a staff position for service cost management.

Answer: B
NEW QUESTION # 215
Your development team has created a mobile game app. You want to test the new mobile app on Android and iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective. What should you do?

  • A. Create Android and iOS containers on Google Kubernetes Engine (GKE), install the mobile app on the containers, and test the mobile app.
  • B. Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.
  • C. Upload your mobile app with different configurations to Firebase Hosting and test each configuration.
  • D. Create Android and iOS VMs on Google Cloud, install the mobile app on the VMs, and test the mobile app.

Answer: A Explanation:
Reference:
Topic 8, Helicopter Racing League Case
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.
NEW QUESTION # 216
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