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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Integrating applications with Google Cloud services	21%	- Integrating with data and storage services 1. Working with relational, NoSQL, and in-memory databases 2. Using object storage and file storage solutions 3. Implementing messaging and event streaming - 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 - Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces
Topic 2: 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 - Testing applications 1. Using AI-assisted development tools 2. Automating testing in CI/CD workflows 3. Writing unit, integration, and end-to-end tests - Building applications and containers 1. Configuring build pipelines and provenance 2. Using Cloud Build and Artifact Registry 3. Implementing containerization best practices
Topic 3: 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 4: 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 Cloud Run 1. Deploying from source code or containers 2. Integrating with event-driven services 3. Configuring scaling, networking, and security - 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

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Google Certified Professional - Cloud Developer Sample Questions (Q215-Q220):

NEW QUESTION # 215
You are a developer at a large corporation. You manage three GKE clusters. Your team's developers need to switch from one cluster to another regularly on the same workstation. You want to configure individual access to these multiple clusters securely while following Google- recommended practices. What should you do?

A. In a text file, define the clusters, users, and contexts. Email the file to the developers and ask them to use the kubectl config set command to add cluster, user, and context details to the file.
B. Ask the developers to use Cloud Shell and run the gcloud container clusters get-credentials command to switch to another cluster.
C. Ask the developers to open three terminals on their workstation and use the kubectl config set command to configure access to each cluster.
D. Ask the developers to install the gcloud CLI on their workstation and run the gcloud container clusters get-credentials command to switch to another cluster.

Answer: D

Explanation:
Using the gcloud CLI to run gcloud container clusters get-credentials configures secure, up-to- date access credentials for each GKE cluster according to Google-recommended practices, allowing developers to switch clusters safely and efficiently.

NEW QUESTION # 216
You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout.
What should you do?

A. Catch timeout or error exceptions from the API call and display the error response in the UI widget.
B. Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.
C. Set the asynchronous option for your requests to the API to false and omit the widget displaying the API results when a timeout or error is encountered.
D. Catch timeout or error exceptions from the API call and keep trying with exponential backoff until the API response is successful.

Answer: C

NEW QUESTION # 217
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?

A. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Verify the provided JSON Web Token within the application.
B. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Issue client side certificates to everybody in the finance team and verify the certificates in the application.
C. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Verify the provided JSON Web Token within the application.
D. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Issue client-side certificates to everybody in the finance team and verify the certificates in the application.

Answer: C

Explanation:
Explanation
https://cloud.google.com/iap/docs/signed-headers-howto#securing_iap_headers (https://cloud.google.com/endpoints/docs/openapi/authenticating-users-google-id).
https://cloud.google.com/armor/docs/security-policy-overview#:~:text=Google%20Cloud%20Armor%20security
"Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets"

NEW QUESTION # 218
You are writing from a Go application to a Cloud Spanner database. You want to optimize your application's performance using Google-recommended best practices. What should you do?

A. Write to Cloud Spanner using a custom gRPC client library.
B. Write to Cloud Spanner using Cloud Client Libraries.
C. Write to Cloud Spanner using Google API Client Libraries
D. Write to Cloud Spanner using a third-party HTTP client library.

Answer: B

Explanation:
https://cloud.google.com/apis/docs/cloud-client-libraries
"Cloud Client Libraries are the recommended option for accessing Cloud APIs programmatically, where available. Cloud Client Libraries use the latest client library models"
https://cloud.google.com/apis/docs/client-libraries-explained
https://cloud.google.com/go/docs/reference

NEW QUESTION # 219
How do you access Control Center from the home screen on an iPhone 8?

A. Swipe down from the top of the screen.
B. Swipe from right to left.
C. Swipe up from the bottom of the screen.
D. Swipe from left to right.

Answer: C

Explanation:
Explanation/Reference: https://www.imore.com/control-center

NEW QUESTION # 220
......

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