Professional-Cloud-Developer Study Test - Professional-Cloud-Developer Reliable Test Question

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Integrating applications with Google Cloud services	21%	- Consuming Google Cloud APIs and services 1. Integrating with AI/ML and generative AI services 2. Using client libraries, REST, and gRPC 3. Enabling and managing APIs - Integrating with data and storage services 1. Implementing messaging and event streaming 2. Using object storage and file storage solutions 3. Working with relational, NoSQL, and in-memory databases - Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces
Topic 2: Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing for observability and monitoring 1. Planning logging, metrics, and tracing strategies 2. Designing for debugging and troubleshooting - Designing high-performing applications and APIs 1. Selecting appropriate compute and deployment platforms 2. Optimizing for latency and throughput 3. Designing for high availability and fault tolerance - Designing secure applications 1. Applying security best practices and compliance requirements 2. Securing data in transit and at rest 3. Implementing authentication and authorization mechanisms
Topic 3: Configuring cloud-native applications for deployment	24%	- Deploying to App Engine or Cloud Functions 1. Configuring serverless deployments 2. Managing versions and traffic splitting - Deploying applications to Google Kubernetes Engine 1. Configuring scaling, auto-scaling, and updates 2. Creating and managing workloads and services 3. Managing configurations and secrets - Deploying applications to Cloud Run 1. Integrating with event-driven services 2. Configuring scaling, networking, and security 3. Deploying from source code or containers
Topic 4: Building and testing applications	23%	- Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Building applications and containers 1. Using Cloud Build and Artifact Registry 2. Configuring build pipelines and provenance 3. Implementing containerization best practices - Testing applications 1. Automating testing in CI/CD workflows 2. Using AI-assisted development tools 3. Writing unit, integration, and end-to-end tests

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New Professional-Cloud-Developer Study Test | Professional Professional-Cloud-Developer Reliable Test Question: Google Certified Professional - Cloud Developer

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Google Certified Professional - Cloud Developer Sample Questions (Q243-Q248):

NEW QUESTION # 243
You manage an ecommerce application that processes purchases from customers who can subsequently cancel or change those purchases. You discover that order volumes are highly variable and the backend order-processing system can only process one request at a time. You want to ensure seamless performance for customers regardless of usage volume. It is crucial that customers' order update requests are performed in the sequence in which they were generated.
What should you do?

A. Send the purchase and change requests as REST requests to the backend.
B. Send the purchase and change requests over WebSockets to the backend.
C. Use a Pub/Sub subscriber in pull mode and use a data store to manage ordering.
D. Use a Pub/Sub subscriber in push mode and use a data store to manage ordering.

Answer: C

Explanation:
https://cloud.google.com/pubsub/docs/pull

NEW QUESTION # 244
Which of the following are required to setup iTunes backup with an iPhone 8? (Choose two.)

A. Lightning to USB Cable
B. Encrypted volume on Mac or PC
C. Computer compatible with iTunes
D. iCloud account
E. iTunes Store account

Answer: D,E

Explanation:
Explanation
Explanation/Reference: https://support.apple.com/guide/itunes/back-up-your-ios-or-ipados-device-itns3280/windows

NEW QUESTION # 245
Your team uses Cloud Storage for a video and image application that was recently migrated to Google Cloud. Following a viral surge, users are reporting application instability, coinciding with a
10x increase in HTTP 429 error codes from Cloud Storage APIs. You need to resolve the errors and establish a long-term solution. You want to ensure that the application remains stable if the load increases again in the future. What should you do?

A. Optimize the application code to reduce unnecessary calls to Cloud Storage APIs to prevent HTTP 429 errors.
B. Compress the video and images files to reduce their size, and minimize storage costs and bandwidth usage. Implement a custom throttling mechanism in the application that limits the number of concurrent API calls.
C. Implement a retry strategy with exponential backoff for requests that encounter HTTP 429 errors.
D. Migrate all image and video data to Firestore. Replace the Cloud Storage APIs in the application code with the new Firestore database.

Answer: C

Explanation:
https://blog.hubspot.com/website/http-error-429

NEW QUESTION # 246
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?

A. Cloud Monitoring
B. Cloud Trace
C. Cloud Debugger snapshots
D. Cloud Debugger logpoints

Answer: D

Explanation:
Explanation
https://cloud.google.com/debugger/docs/using/logpoints
Logpoints allow you to inject logging into running services without restarting or interfering with the normal function of the service

NEW QUESTION # 247
You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output You need to export the logs to Cloud Logging, and you need the logs to include metadata about each request. You want to use the simplest method to accomplish this. What should you do?

A. Update your application to output logs in CSV format, and add the necessary metadata to the CSV.
B. Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/ log.
C. Change your application s logging library to the Cloud Logging library and configure your application to export logs to Cloud Logging
D. Update your application to output logs in JSON format, and add the necessary metadata to the JSON

Answer: A

NEW QUESTION # 248
......

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