Google Professional-Cloud-Developer Associate Level Exam - Professional-Cloud-Developer Sample Test Online

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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q87-Q92):

NEW QUESTION # 87
You recently developed a new application. You want to deploy the application on Cloud Run without a Dockerfile. Your organization requires that all container images are pushed to a centrally managed container repository. How should you build your container using Google Cloud services? (Choose two.)

A. Push your source code to Artifact Registry.
B. Submit a Cloud Build job to push the image.
C. Include the --source flag with the gcloud run deploy CLI command.
D. Include the --platform=kubernetes flag with the gcloud run deploy CLI command.
E. Use the pack build command with pack CLI.

Answer: A,E

Explanation:
Explanation
https://cloud.google.com/run/docs/deploying#images
https://cloud.google.com/blog/products/containers-kubernetes/google-cloud-now-supports-buildpacks

NEW QUESTION # 88
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?

A. Create a push subscription with exactly-once delivery enabled.
B. Create a pull subscription with both ordering and exactly-once delivery turned off.
C. Create a push subscription with both ordering and exactly-once delivery turned off.
D. Create a pull subscription with exactly-once delivery enabled.

Answer: A

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

NEW QUESTION # 89
Which database should HipLocal use for storing user activity?

A. BigQuery
B. Cloud SQL
C. Cloud Datastore
D. Cloud Spanner

Answer: A

NEW QUESTION # 90
You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below:

You want to optimize deployment times and avoid unnecessary steps What should you do?

A. Remove the step that pushes the container to Artifact Registry.
B. Add the -cache-from argument to the Docker build step in your build config file.
C. Store image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance.
D. Deploy a new Docker registry in a VPC and use Cloud Build worker pools inside the VPC to run the build pipeline.

Answer: B

Explanation:
https://cloud.google.com/build/docs/optimize-builds/speeding-up-builds#using_a_cached_docker_image

NEW QUESTION # 91
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

A. Use CPanel to upload files.
B. Use FTP to upload files.
C. Use signed URLs to upload files.
D. Change the API to be a multipart file upload API.

Answer: C

Explanation:
Explanation/Reference:
Reference: https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform

NEW QUESTION # 92
......

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