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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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The Google Certified Professional - Cloud Developer Professional-Cloud-Developer Questions lead to Google Professional-Cloud-Developer certification. The Professional-Cloud-Developer certification is for anyone new to the industry. Whether you have just graduated from college, making a career change, already working in the sector, or searching for new ways to progress, the Google Professional-Cloud-Developer Certification is ideal for you. If you want to appear in the Professional-Cloud-Developer test of Google Professional-Cloud-Developer certification, you should have basic hands-on experience.

Google Certified Professional - Cloud Developer Sample Questions (Q49-Q54):

NEW QUESTION # 49
You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by running an automated performance test with Cloud Build for each commit made. If multiple commits are made at the same time, the tests might run concurrently. What should you do?

A. Start the Cloud Spanner emulator locally. Load the required data. Shut down the emulator after the test is run.
B. Create a new Cloud Spanner instance for every build. Load the required data. Delete the Cloud Spanner instance after the test is run.
C. Create a project with a Cloud Spanner instance and the required data. Adjust the Cloud Build build file to automatically restore the data to its previous state after the test is run.
D. Create a new project with a random name for every build. Load the required data. Delete the project after the test is run.

Answer: B

Explanation:
https://cloud.google.com/spanner/docs/emulator#limitations

NEW QUESTION # 50
You are developing an application that consists of several microservices running in a Google Kubernetes Engine cluster. One microservice needs to connect to a third-party database running on-premises. You need to store credentials to the database and ensure that these credentials can be rotated while following security best practices. What should you do?

A. Store the credentials as a Kubernetes Secret, and use the Cloud Key Management Service plugin to handle encryption and decryption.
B. Configure a service mesh to allow or restrict traffic from the Pods in your microservice to the database.
C. Store the credentials in an encrypted volume mount, and associate a Persistent Volume Claim with the client Pod.
D. Store the credentials in a sidecar container proxy, and use it to connect to the third-party database.

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/encrypting-secrets By default, Google Kubernetes Engine (GKE) encrypts customer content stored at rest, including Secrets. GKE handles and manages this default encryption for you without any additional action on your part.
Application-layer secrets encryption provides an additional layer of security for sensitive data, such as Secrets, stored in etcd. Using this functionality, you can use a key managed with Cloud KMS to encrypt data at the application layer. This encryption protects against attackers who gain access to an offline copy of etcd.

NEW QUESTION # 51
Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

A. gcloud compute ssh [PARAM] --command= "sudo journalctl"
B. gcloud logging read [PARAM]
C. kubectl exec -it [PARAM] journalctl
D. kubectl logs [PARAM]

Answer: A

NEW QUESTION # 52
When would a technician need to use a positive 'no' with a customer? (Choose three.)

A. The customer is misinformed about service options.
B. The device is out of warranty.
C. Apple introduces new product.
D. The device is eligible for repair.
E. The technician does not feel like helping the customer.
F. The customer wants to purchase a new device.
G. The device is an obsolete device that we no longer service.

Answer: A,B,G

NEW QUESTION # 53
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?

A. Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.
B. Add RUN commands in the Dockerfile to execute unit and integration tests.
C. Create a Cloud Build build config file with a single build step to compile unit and integration tests.
D. Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.

Answer: A

Explanation:
https://cloud.google.com/build/docs/build-config-file-schema
A build step specifies an action that you want Cloud Build to perform. For each build step, Cloud Build executes a docker container as an instance of docker run. Build steps are analogous to commands in a script and provide you with the flexibility of executing arbitrary instructions in your build.

NEW QUESTION # 54
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