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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Deploy applications- Deploy applications to Google Cloud
  • 1. Deploy applications using Cloud Run
  • 2. Manage application rollout strategies
  • 3. Deploy applications to Google Kubernetes Engine
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. Perform application testing
  • 2. Implement CI/CD pipelines
  • 3. Build application artifacts
Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Implement authentication and authorization
  • 2. Use messaging and event-driven services
  • 3. Integrate with Google Cloud APIs
Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Design secure applications
  • 2. Choose storage options for application data
  • 3. Design resilient and scalable application architectures

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Google Certified Professional - Cloud Developer Sample Questions (Q257-Q262):

NEW QUESTION # 257
You have a data warehouse built on BigQuery that contains a table with array fields. To analyze the data for a specific use case using Standard SQL, you need to read all elements from the array and write them with all other non-array fields in a table. You don't want to lose any records if they don't match records in the array fields. What should you do?

Answer: C

Explanation:
A is not correct because it does not join the records.
B is not correct because it might lose records.
C is not correct because it might lose records.
D is correct because it does not lose records when the join is performed.
https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#join-types


NEW QUESTION # 258
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?

Answer: A

Explanation:
Reference: https://livebook.manning.com/book/kubernetes-in-action/chapter-10/46


NEW QUESTION # 259
You have a container deployed on Google Kubernetes Engine. The container can sometimes be slow to launch, so you have implemented a liveness probe. You notice that the liveness probe occasionally fails on launch. What should you do?

Answer: D

Explanation:
https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup- probes/#define-startup-probes The kubelet uses startup probes to know when a container application has started. If such a probe is configured, it disables liveness and readiness checks until it succeeds, making sure those probes don't interfere with the application startup. This can be used to adopt liveness checks on slow starting containers, avoiding them getting killed by the kubelet before they are up and running.


NEW QUESTION # 260
You have developed a Python application that you want to containerize and deploy to Cloud Run.
You have developed a Cloud Build pipeline with the following steps:

After triggering the pipeline, you notice in the Cloud Build logs that the final step of the pipeline fails and the container is unable to be deployed to Cloud Run. What is the cause of this issue, and how should you resolve it?

Answer: B

Explanation:
The pipeline steps in the image show that the Docker image is built, but there is no step to push the built image to Artifact Registry. Cloud Run requires the container image to be in a registry (such as Artifact Registry or Container Registry) before it can be deployed. Adding a step to push the container image to Artifact Registry after it is built will make the image available for deployment, allowing the final step to deploy the application to Cloud Run successfully.


NEW QUESTION # 261
You recently developed an application that monitors a large number of stock prices. You need to configure Pub/Sub to receive a high volume messages and update the current stock price in a single large in-memory database. A downstream service needs the most up-to-date prices in the in-memory database to perform stock trading transactions. Each message contains three pieces or information:
- Stock symbol
- Stock price
- Timestamp for the update
How should you set up your Pub/Sub subscription?

Answer: D

Explanation:
https://cloud.google.com/pubsub/docs/exactly-once-delivery


NEW QUESTION # 262
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