Google Professional-Cloud-Developer Exam Questions: Reduce Your Chances Of Failure

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

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Google Certified Professional - Cloud Developer Sample Questions (Q340-Q345):

NEW QUESTION # 340
Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?

A. Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
B. Manually copy the photos to webphotos-prod.
C. Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
D. Add a startup script in the application's app.yami file to move the photos from webphotos-staging to webphotos-prod.

Answer: A

Explanation:
You should add a build step in the cloudbuild.yaml file before the promotion step with the arguments shown above. This build step will use the gsutil tool to copy the photos from the webphotos-staging bucket to the webphotos-prod bucket. The -r flag tells gsutil to copy all files in the bucket recursively, and the waitFor parameter tells Cloud Build to wait for this step to complete before continuing with the promotion step.

NEW QUESTION # 341
You are developing a scalable web application for internal users. Your organization uses Google Workspace. You need to set up authentication to the application for the users, and then deploy the application on Google Cloud. You plan to use cloud-native features, and you want to minimize infrastructure management effort. What should you do? (Choose two.)

A. Configure Identity Aware Proxy, and grant the roles/iap.httpsResourceAccessor IAM role to the users that need to access the application.
B. Configure Identity Aware Proxy, and grant the roles/iap.tunnelResourceAccessor IAM role to the users that need to access the application.
C. Configure Cloud SQL database with a table containing the users and password hashes. Add an authentication screen to ensure that only internal users can access the application.
D. Containerize the application, and deploy it as a Cloud Run service.
E. Create a Compute Engine VM, configure a web server, and deploy the application in a VPC.

Answer: A,D

Explanation:
https://support.google.com/a/answer/7281227?hl=en

NEW QUESTION # 342
HipLocal's.net-based auth service fails under intermittent load.
What should they do?

A. Use a Compute Engine cluster for the service.
B. Use Cloud Functions for autoscaling.
C. Use App Engine for autoscaling.
D. Use a dedicated Compute Engine virtual machine instance for the service.

Answer: D

NEW QUESTION # 343
You are porting an existing Apache/MySQL/PHP application stack from a single machine to Google Kubernetes Engine. You need to determine how to containerize the application. Your approach should follow Google-recommended best practices for availability. What should you do?

A. Package each component in a separate container. Use a script to orchestrate the launch of the components.
B. Package the application in a single container. Use a bash script as an entrypoint to the container, and then spawn each component as a background job.
C. Package each component in a separate container. Implement readiness and liveness probes.
D. Package the application in a single container. Use a process management tool to manage each component.

Answer: C

Explanation:
Explanation
https://cloud.google.com/blog/products/containers-kubernetes/7-best-practices-for-building-containers
https://cloud.google.com/architecture/best-practices-for-building-containers
"classic Apache/MySQL/PHP stack: you might be tempted to run all the components in a single container.
However, the best practice is to use two or three different containers: one for Apache, one for MySQL, and potentially one for PHP if you are running PHP-FPM."

NEW QUESTION # 344
You need to containerize a web application that will be hosted on Google Cloud behind a global load balancer with SSL certificates. You don't have the time to develop authentication at the application level, and you want to offload SSL encryption and management from your application. You want to configure the architecture using managed services where possible What should you do?

A. Host the application on Google Kubernetes Engine and use Identity-Aware Proxy (IAP) with Cloud Load Balancing and Google-managed certificates.
B. Host the application on Google Kubernetes Engine, and deploy cert-manager to manage SSL certificates.
C. Host the application on Google Kubernetes Engine, and deploy an NGINX Ingress Controller to handle authentication.
D. Host the application on Compute Engine, and configure Cloud Endpoints for your application.

Answer: A

NEW QUESTION # 345
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