Reasons to Choose Our Google Professional-Cloud-Developer Exam Dumps
Google Professional-Cloud-Developer Exam Dumps - Curated by Subject Matter Experts
Are you tired of getting Google Professional-Cloud-Developer dumps with wrong answers? Don’t worry now because our Professional Cloud Developer exam dumps are curated by subject matter experts ensuring every question has the right answer
Prepare Your Exam with Google Professional-Cloud-Developer Dumps on Any Device
We facilitate you by offering our Google Professional-Cloud-Developer exam dumps in three different formats (PDF file, Offline, and Online Practice Test Software)
Self-Assess Your Google Cloud Certified Exam Preparation
Self-Assess Your Google Professional-Cloud-Developer exam preparation with our Professional-Cloud-Developer dumps enriched with various features such as time limit, personalized result page, etc
Eliminate Risk of Failure with Google Professional-Cloud-Developer Exam Dumps
Schedule your time wisely to provide yourself sufficient time each day to prepare for the Google Professional-Cloud-Developer exam. Make time each day to study in a quiet place, as you'll need to thoroughly cover the material for the Professional Cloud Developer exam. Our actual Google Cloud Certified exam dumps help you in your preparation. Prepare for the Google Professional-Cloud-Developer exam with our Professional-Cloud-Developer dumps every day if you want to succeed on your first try.
You are developing a new web application using Cloud Run and committing code to Cloud Source Repositories. You want to deploy new code in the most efficient way possible. You have already created a Cloud Build YAML file that builds a container and runs the following command: gcloud run deploy. What should you do next?
See the explanation below.
https://cloud.google.com/build/docs/triggers
Cloud Build uses build triggers to enable CI/CD automation. You can configure triggers to listen for incoming events, such as when a new commit is pushed to a repository or when a pull request is initiated, and then automatically execute a build when new events come in. You can also configure triggers to build code on any changes to your source repository or only on changes that match certain criteria.
You are developing an application hosted on Google Cloud that uses a MySQL relational database schem
a. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?
See the explanation below.
https://cloud.google.com/spanner/docs/migrating-mysql-to-spanner#migration-process
Cloud SQL: Cloud SQL is a web service that allows you to create, configure, and use relational databases that live in Google's cloud. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.
https://cloud.google.com/sql/docs/mysql Cloud SQL for MySQL is a fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud Platform.
Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:
* Each customer phone call is associated with a unique IVR session.
* The IVR system creates a separate persistent gRPC connection to the backend for each session.
* If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.
You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:
* Call duration ranges from 1 to 30 minutes.
* Calls are typically made during business hours.
* There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.
You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?
See the explanation below.
This page shows Cloud Run-specific details for developers who want to use gRPC to connect a Cloud Run service with other services, for example, to provide simple, high performance communication between internal microservices. You can use all gRPC types, streaming or unary, with Cloud Run.
Possible use cases include:
Communication between internal microservices.
High loads of data (gRPC uses protocol buffers, which are up to seven times faster than REST calls).
Only a simple service definition is needed, you don't want to write a full client library.
Use streaming gRPCs in your gRPC server to build more responsive applications and APIs.
Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.
What should you do?
You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?
See the explanation below.
Setting PodDisruptionBudget ensures that your workloads have a sufficient number of replicas, even during maintenance. Using the PDB, you can define a number (or percentage) of pods that can be terminated, even if terminating them brings the current replica count below the desired value. With PDB configured, Kubernetes will drain a node following the configured disruption schedule. New pods will be deployed on other available nodes. This approach ensures Kubernetes schedules workloads in an optimal way while controlling the disruption based on the PDB configuration.
https://blog.knoldus.com/how-to-avoid-outages-in-your-kubernetes-cluster-using-pdb/
Are You Looking for More Updated and Actual Google Professional-Cloud-Developer Exam Questions?
If you want a more premium set of actual Google Professional-Cloud-Developer Exam Questions then you can get them at the most affordable price. Premium Google Cloud Certified exam questions are based on the official syllabus of the Google Professional-Cloud-Developer exam. They also have a high probability of coming up in the actual Professional Cloud Developer exam.
You will also get free updates for 90 days with our premium Google Professional-Cloud-Developer exam. If there is a change in the syllabus of Google Professional-Cloud-Developer exam our subject matter experts always update it accordingly.