Updated Google Professional-Cloud-Developer Demo | Test Professional-Cloud-Developer Sample Online

DOWNLOAD the newest Exam4PDF Professional-Cloud-Developer PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1ofHMZf7aGxZizELniiTPwknZlVV9PPDe

The authoritative, efficient, and thoughtful service of Professional-Cloud-Developer practice paper will give you the best user experience, and you can also get what you want with our Professional-Cloud-Developer study materials. I hope our Professional-Cloud-Developer study materials can accompany you to pursue your dreams. If you can choose Professional-Cloud-Developer free training materials, we will be very happy. We look forward to meeting you. With the help of our Professional-Cloud-Developer learning guide, you will get more opportunities than others, and your dreams may really come true in the near future.

Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Choose storage options for application data 2. Design resilient and scalable application architectures 3. Design secure applications
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Analyze metrics and alerts 3. Configure logging and tracing
Build and test applications	- Manage development environments 1. Build application artifacts 2. Implement CI/CD pipelines 3. Perform application testing
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Use messaging and event-driven services 2. Integrate with Google Cloud APIs 3. Implement authentication and authorization
Deploy applications	- Deploy applications to Google Cloud 1. Manage application rollout strategies 2. Deploy applications to Google Kubernetes Engine 3. Deploy applications using Cloud Run

>> Updated Google Professional-Cloud-Developer Demo <<

Test Professional-Cloud-Developer Sample Online | Professional-Cloud-Developer Hot Questions

The clients at home and abroad strive to buy our Professional-Cloud-Developer study materials because they think our products are the best study materials which are designed for preparing the test Google certification. They trust our Professional-Cloud-Developer study materials deeply not only because the high quality and passing rate of our Professional-Cloud-Developer study materials but also because our considerate service system. They treat our Professional-Cloud-Developer Study Materials as the magic weapon to get the Google certificate and the meritorious statesman to increase their wages and be promoted. You may be not quite familiar with our Professional-Cloud-Developer study materials and we provide the detailed explanation of our Professional-Cloud-Developer study materials as follow for you have an understanding before you decide to buy.

Google Certified Professional - Cloud Developer Sample Questions (Q141-Q146):

NEW QUESTION # 141
You need to migrate a standalone Java application running in an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner. You decide not to take the lift-and-shift approach, and instead you plan to modernize the application by converting it to a container. How should you accomplish this task?

A. Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.
B. Use Jib to build a Docker image from your source code, and upload it to Artifact Registry. Deploy the application in a GKE cluster, and test the application.
C. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
D. Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.

Answer: B

Explanation:
https://cloud.google.com/blog/products/application-development/introducing-jib-build-java-docker-images-better

NEW QUESTION # 142
You have an HTTP Cloud Function that is called via POST. Each submission's request body has a flat, unnested JSON structure containing numeric and text data. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?

A. Transform the POST request's JSON data, and store it in a regional Cloud SQL cluster.
B. Persist each POST request's JSON data as an individual file within Cloud Storage, with the file name containing the request identifier.
C. Transform the POST request's JSON data, and stream it into BigQuery.
D. Directly persist each POST request's JSON data into Datastore.

Answer: C

NEW QUESTION # 143
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

A. Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.
B. Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.
C. Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.
D. Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.

Answer: A

Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_bluegreen_deployment

NEW QUESTION # 144
You need to migrate a standalone Java application running in an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner. You decide not to take the lift-and-shift approach, and instead you plan to modernize the application by converting it to a container. How should you accomplish this task?

A. Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.
B. Use Jib to build a Docker image from your source code, and upload it to Artifact Registry. Deploy the application in a GKE cluster, and test the application.
C. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
D. Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.

Answer: B

Explanation:
Explanation
https://cloud.google.com/blog/products/application-development/introducing-jib-build-java-docker-images-bette

NEW QUESTION # 145
Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices. Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code.
What should you do?

A. Create a new Filestore instance, and mount the volume as an NFS PersistentVolume.
B. Create a new ConfigMap and volumeMount to store the contents of the configuration file.
C. Create a new Cloud Storage bucket, and mount it via FUSE in the container.
D. Create a new persistent disk, and mount the volume as a shared PersistentVolume.

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/configmap
ConfigMaps bind non-sensitive configuration artifacts such as configuration files, command-line arguments, and environment variables to your Pod containers and system components at runtime.
A ConfigMap separates your configurations from your Pod and components, which helps keep your workloads portable. This makes their configurations easier to change and manage, and prevents hardcoding configuration data to Pod specifications.

NEW QUESTION # 146
......

All kinds of exams are changing with dynamic society because the requirements are changing all the time. To keep up with the newest regulations of the Professional-Cloud-Developerexam, our experts keep their eyes focusing on it. Our Professional-Cloud-Developer practice materials are updating according to the precise of the real exam. Our test prep can help you to conquer all difficulties you may encounter. In other words, we will be your best helper.

Test Professional-Cloud-Developer Sample Online: https://www.exam4pdf.com/Professional-Cloud-Developer-dumps-torrent.html

BTW, DOWNLOAD part of Exam4PDF Professional-Cloud-Developer dumps from Cloud Storage: https://drive.google.com/open?id=1ofHMZf7aGxZizELniiTPwknZlVV9PPDe