Google Professional Cloud Developer Exam Practice Questions (P. 4)
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Question #33
Your application is controlled by a managed instance group. You want to share a large read-only data set between all the instances in the managed instance group. You want to ensure that each instance can start quickly and can access the data set via its filesystem with very low latency. You also want to minimize the total cost of the solution.
What should you do?
What should you do?
- AMove the data to a Cloud Storage bucket, and mount the bucket on the filesystem using Cloud Storage FUSE.
- BMove the data to a Cloud Storage bucket, and copy the data to the boot disk of the instance via a startup script.
- CMove the data to a Compute Engine persistent disk, and attach the disk in read-only mode to multiple Compute Engine virtual machine instances.
- DMove the data to a Compute Engine persistent disk, take a snapshot, create multiple disks from the snapshot, and attach each disk to its own instance.
Correct Answer:
C
C
GPT-4o - Answer
Option C is the most suitable solution for sharing large datasets between multiple instances with low latency and cost efficiency. Attaching a Compute Engine persistent disk in read-only mode to multiple VMs allows all instances access to the data without the need for duplication across individual disks. This method not only streamlines deployment but also reduces costs, since there's no need to maintain separate storage for each instance. Additionally, persistent disks offer better performance compared to mounting Cloud Storage buckets via FUSE, particularly in terms of latency, making it optimal for rapid data access across instances.
Question #34
You are developing an HTTP API hosted on a Compute Engine virtual machine instance that needs to be invoked by multiple clients within the same Virtual
Private Cloud (VPC). You want clients to be able to get the IP address of the service.
What should you do?
Private Cloud (VPC). You want clients to be able to get the IP address of the service.
What should you do?
- AReserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Clients should use this IP address to connect to the service.
- BReserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Then, define an A record in Cloud DNS. Clients should use the name of the A record to connect to the service.
- CEnsure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[INSTANCE_NAME].[ZONE].c. [PROJECT_ID].internal/.
- DEnsure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[API_NAME]/[API_VERSION]/.
Correct Answer:
D
D
GPT-4o - Answer
For services within the same Virtual Private Cloud (VPC), leveraging Compute Engine's internal DNS is a streamlined method to facilitate communication without the complexities of external IP management or load balancing. The URL format https://[INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal/ allows direct access to the instance’s internal IP address, ensuring low latency and increased security as traffic remains within Google's network infrastructure. This approach bypasses the need for additional DNS configurations, making it efficient for intra-VPC connectivity.
Question #35
Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/* endpoints.
What should you do?
What should you do?
- AAdd a Stackdriver counter metric for path:/api/alpha/.
- BAdd a Stackdriver counter metric for endpoint:/api/alpha/*.
- CExport the logs to Cloud Storage and count lines matching /api/alpha.
- DExport the logs to Cloud Pub/Sub and count lines matching /api/alpha.
Correct Answer:
C
C
GPT-4o - Answer
In cases where you're dealing with capturing data for endpoints like /api/alpha/*, directly utilizing Stackdriver counter metrics seems straightforward, but it actually might lack the capacity to filter by wildcard paths directly within metrics. Therefore, the correct approach involves exporting the logs to a service like Cloud Storage. Here, you can utilize more flexible querying capabilities to accurately count occurrences across multiple paths matching the /api/alpha/ pattern. This method provides a comprehensive capture and counting mechanism vital for dynamic path monitoring in cloud environments.
Question #38
You are building a new API. You want to minimize the cost of storing and reduce the latency of serving images.
Which architecture should you use?
Which architecture should you use?
- AApp Engine backed by Cloud Storage
- BCompute Engine backed by Persistent Disk
- CTransfer Appliance backed by Cloud Filestore
- DCloud Content Delivery Network (CDN) backed by Cloud Storage
Correct Answer:
B
B
GPT-4o - Answer
The most suitable architecture for minimizing storage costs and reducing latency in serving images is to use a Cloud Content Delivery Network (CDN) backed by Cloud Storage. This configuration leverages the CDN's ability to serve content rapidly from locations close to users, enhancing performance and user experience. Simultaneously, Cloud Storage offers a cost-effective solution for storing large volumes of images, making this combination optimal for your needs. While Compute Engine and Persistent Disk could technically support the application, they do not inherently optimize for the low latency and cost efficiency necessary for image serving at scale.
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