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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Perform application testing 3. Build application artifacts
Topic 2: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Analyze metrics and alerts 2. Configure logging and tracing 3. Optimize application performance
Topic 3: 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
Topic 4: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications to Google Kubernetes Engine 2. Manage application rollout strategies 3. Deploy applications using Cloud Run
Topic 5: 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 (Q254-Q259):

NEW QUESTION # 254
You are developing a dashboard that aggregates temperature readings from thousands of IoT devices monitoring a city's ambient temperature. You expect a large amount of viewing traffic resulting in a large amount of data egress once the dashboard is live. The dashboard temperature display data doesn't need to be real-time and can tolerate a few seconds of lag. You decide to deploy Memorystore for Redis as the storage backend. You want to ensure that the dashboard will be highly available. How should you configure the service in Memorystore for Redis?

A. Update Memorystore for Redis to the latest version.
B. Use Private Service Access to enable low-latency network throughput.
C. Configure Memorystore to use read replicas.
D. Set up Serverless VPC Access to avoid receiving traffic over the internet.

Answer: C

Explanation:
Using read replicas in Memorystore for Redis enhances availability by providing redundancy. If the primary instance experiences downtime, read replicas can continue serving requests, ensuring that the dashboard remains accessible. Read replicas also help distribute read traffic, which can be beneficial for high-demand applications, even though Redis itself is an in-memory store with fast access.
- Updating to the latest version may improve performance or security but does not directly improve availability.
- Private Service Access and Serverless VPC Access are network configurations that reduce latency and secure connections but do not inherently improve availability.

NEW QUESTION # 255
You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning. You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
- Autoscales during high traffic periods at the end of each month
- Written in Python 3.x
- Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?

A. Modernize and deploy the code on App Engine flexible environment.
B. Modernize and deploy the code on App Engine standard environment.
C. Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
D. Deploy the modernized application to an n1-standard-1 Compute Engine instance.

Answer: B

Explanation:
https://cloud.google.com/appengine/docs/standard

NEW QUESTION # 256
Users are complaining that your Cloud Run-hosted website responds too slowly during traffic spikes. You want to provide a better user experience during traffic peaks. What should you do?

A. Perform as much work as possible in the background after the response has been returned to the user.
B. Package application configuration and static data into the application image during build time.
C. Read application configuration and static data from the database on application startup.
D. Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.

Answer: A

NEW QUESTION # 257
You have been tasked with planning the migration of your company's application from on- premises to Google Cloud. Your company's monolithic application is an ecommerce website. The application will be migrated to microservices deployed on Google Cloud in stages. The majority of your company's revenue is generated through online sales, so it is important to minimize risk during the migration. You need to prioritize features and select the first functionality to migrate.
What should you do?

A. Migrate the Product catalog, which has integrations to the frontend and product database.
B. Migrate Payment processing, which has integrations to the frontend, order database, and third- party payment vendor.
C. Migrate the Shopping cart, which has integrations to the frontend, cart database, inventory system, and payment processing system.
D. Migrate Order fulfillment, which has integrations to the order database, inventory system, and third-party shipping vendor.

Answer: A

Explanation:
https://cloud.google.com/architecture/migrating-a-monolithic-app-to-microservices- gke#choosing_an_initial_migration_effort

NEW QUESTION # 258
Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team. Which command should you run?

A. gcloud compute scp example-instance:~/test-data -o output.json gs://my-bucket
B. gsutil perfdiag -o output.json gs://my-bucket
C. gsutil test -o output.json gs://my-bucket
D. gcloud services test -o output.json gs://my-bucket

Answer: B

NEW QUESTION # 259
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