Exact2Pass
Last Update 11 hours ago Total Questions : 265
The Google Certified Professional - Cloud Developer content is now fully updated, with all current exam questions added 11 hours ago. Deciding to include Professional-Cloud-Developer practice exam questions in your study plan goes far beyond basic test preparation.
You'll find that our Professional-Cloud-Developer exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Professional-Cloud-Developer sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Certified Professional - Cloud Developer practice test comfortably within the allotted time.
Your team develops services that run on Google Cloud. You want to process messages sent to a Pub/Sub topic, and then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts. You need to use the cheapest and most simple solution. What should you do?
Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/*
endpoints.
What should you do?
You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.
You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?
HipLocal ' s APIs are showing occasional failures, but they cannot find a pattern. They want to collect some
metrics to help them troubleshoot.
What should they do?
In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?
For this question, refer to the HipLocal case study.
HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?
HipLocal’s data science team wants to analyze user reviews.
How should they prepare the data?
For this question refer to the HipLocal case study.
HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?
Which service should HipLocal use to enable access to internal apps?
For this question, refer to the HipLocal case study.
A recent security audit discovers that HipLocal’s database credentials for their Compute Engine-hosted MySQL databases are stored in plain text on persistent disks. HipLocal needs to reduce the risk of these credentials being stolen. What should they do?
