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Incorporating Google Cloud Services

  • Incorporate Applications with Data Storage Services: The considerations for this subsection include connecting to data stores, write/read data from/to different databases and write applications that consume/publish data asynchronously.
  • Integrate Applications with Compute Services: This part contains the measurement of the skills in implementing the service discovery in Compute Engine and GKE, authenticating utilizing Identity-Aware Proxy OAuth2.0 Web Flow, and authenticating with Workload Identity to Cloud APIs.
  • Integrate Cloud APIs with Apps: This domain comes with caching results, restricting return data, batching requests, paginating results, and error handling.

The Google Professional-Cloud-Developer certification exam is a credential offered by Google Cloud that validates a professional’s expertise in designing, developing, and deploying applications on the Google Cloud Platform. This certification is intended for developers who work with Google Cloud technologies and are responsible for creating cloud-native applications. The exam is designed to test one’s ability to use Google Cloud’s tools and services to build scalable and fault-tolerant applications that meet business requirements.

Section 4: Integrating Google Cloud Services

The aim of this domain is to evaluate the learners based on their capacity to integrate an app with storage data services, integrate an app with compute services, as well as integrate Cloud APIs with apps.

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Google Certified Professional - Cloud Developer Sample Questions (Q161-Q166):

NEW QUESTION # 161
You are planning to migrate a MySQL database to the managed Cloud SQL database for Google Cloud. You have Compute Engine virtual machine instances that will connect with this Cloud SQL instance. You do not want to whitelist IPs for the Compute Engine instances to be able to access Cloud SQL.
What should you do?

  • A. Create a CloudSQL instance on one project. Create Compute engine instances in a different project.Create a VPN between these two projects to allow internal access to CloudSQL.
  • B. Enable private IP for the Cloud SQL instance.
  • C. Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.
  • D. Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.

Answer: D


NEW QUESTION # 162
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?

  • A. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.
  • B. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
  • C. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.
  • D. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.

Answer: C


NEW QUESTION # 163
Which of the following customer statements would alert you to a safety issue? (Choose two.)

  • A. My iPhone has fluctuating sound levels. Sometimes it is deafening.
  • B. The home button on my iPhone seems to have sunk.
  • C. The screen is too bright. It hurts my eyes.
  • D. My iPhone flashed and sparked when I tried to charge it.
  • E. My new Apple Watch makes me itchy and my wrist is red and irritated.
  • F. The corner of my iPad is badly bent.

Answer: B,D


NEW QUESTION # 164
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?

  • A. Horizontal Pod Autoscaler based on an external metric
  • B. Vertical Pod Autoscaler in Auto mode
  • C. Vertical Pod Autoscaler in Recommendation mode
  • D. Horizontal Pod Autoscaler based on resources utilization

Answer: D

Explanation:
Explanation
https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/


NEW QUESTION # 165
Which of the following gestures should be avoided when welcoming a customer? (Choose two.)

  • A. Fidgeting
  • B. Standing straight
  • C. Folding arms
  • D. Making eye contact
  • E. Opening hands

Answer: A,C


NEW QUESTION # 166
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