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Studying with Online Courses
By rounding out your skills using the approved training courses, you will be confirming your ability to effectively tackle case-based scenarios. The three best options to choose are the following:
- Cloud Developer Fundamentals: Core Infrastructure
This course helps candidates master the basics of computing and storage services that exist in Google. These include Compute Engine, Google Kubernetes Engine, Cloud Storage, Cloud SQL, BigQuery, and App Engine. This training will also introduce the candidates to a ton of policy and resource management tools like Cloud Identity and Access Management and the Resource Manager Hierarchy. In essence, this program suits all individuals who are just getting started with Google Cloud or switching from a different public cloud provider to this one.
- Developing Applications with Google Cloud Platform
From the name, this course helps candidates obtain the skills they will need to successfully develop, design, and deploy apps that easily integrate with the essential components of the Google Cloud environment. For that reason, this training is best for developers tasked with redesigning the existing applications or building cloud-native apps that function on GCP. The course features cloud services and APIs to ensure candidates are competently trained in building secure, scalable, and reliable applications.
- Getting Started with Google Kubernetes Engine
This course is all about containerizing workloads within the Docker containers. It also focuses on the deployment of workloads to Kubernetes clusters that are supported by the Google Kubernetes Engine and scaling them to easily manage traffic. For more comprehensive coverage of these skills, you may want to check out the Architecting with Google Kubernetes Engine course.
Reference: https://cloud.google.com/certification/cloud-developer
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For more info visit:
Security & Identity Fundamentals Kubernetes in the Google Cloud Google Cloud documentation Google Cloud solutions
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Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Build and test applications | - Manage development environments
|
| Manage application performance monitoring | - Monitor and troubleshoot applications
|
| Design scalable, available, and reliable cloud-native applications | - Design highly performant applications and APIs
|
| Integrate applications with Google Cloud services | - Integrate with data and storage services
|
| Deploy applications | - Deploy applications to Google Cloud
|
Google Certified Professional - Cloud Developer Sample Questions:
Your team developed a web-based game that has many simultaneous players. Recently, users have started to complain that the leaderboard tallies the top scores too slowly. You investigated the issue and discovered that the application stack is currently using Cloud SQL for PostgreSQL.
You want to improve the leaderboard performance as much as possible to provide a better user experience. What should you do?
- A. Optimize the SQL queries to minimize slow-running queries.
- B. Migrate the database and store the data in AlloyDB.
- C. Update Cloud SQL for PostgreSQL to the latest version.
- D. Re-implement the leaderboard data to be stored in Memorystore for Redis.
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
You are working on a social media application. You plan to add a feature that allows users to upload images. These images will be 2 MB ?1 GB in size. You want to minimize their infrastructure operations overhead for this feature.
What should you do?
- A. Change the application to create signed URLs for Cloud Storage.
Transfer these signed URLs to the client application to upload images to Cloud Storage. - B. Create a separate bucket for each user in Cloud Storage.
Assign a separate service account to allow write access on each bucket.
Transfer service account credentials to the client application based on user information.
The application uses this service account to upload images to Cloud Storage. - C. Set up a web server on GCP to accept user images and create a file store to keep uploaded files.
Change the application to retrieve images from the file store. - D. Change the application to accept images directly and store them in the database that stores other user information.
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
You are developing a container build pipeline for an application hosted on GKE. You have the following requirements:
- Only images that are created using your build pipeline should be
deployed on your GKE cluster.
- All code and build artifacts should remain within your environment
and protected from data exfiltration.
How should you build the pipeline?
- A. 1. Create a build pipeline by using Cloud Build with a private worker pool.
2. Configure the CI/CD pipeline to build container images and store them in Artifact Registry.
3. Configure Artifact Registry to encrypt container images by using customer-managed encryption keys (CMEK). - B. 1. Create a build pipeline by using Cloud Build with the default worker pool.
2. Configure the CI/CD pipeline to build container images and store them in Artifact Registry.
3. Configure your GKE cluster to only allow container images signed by Binary Authorization. - C. 1. Create a build pipeline by using Cloud Build with the default worker pool.
2. Deploy container images to a private container registry in your VPC.
3. Create a VPC firewall policy in your project that denies all egress and ingress traffic to public networks. - D. 1. Create a build pipeline by using Cloud Build with a private worker pool.
2. Use VPC Service Controls to place all components and services in your CI/CD pipeline inside a security perimeter.
3. Configure your GKE cluster to only allow container images signed by Binary Authorization.
Correct Answer: D 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
Your team plans to use AlloyDB as their database backend for an upcoming application release.
Your application is currently hosted in a different project and network than the AlloyDB instances.
You need to securely connect your application to the AlloyDB instance while keeping the projects isolated. You want to minimize additional operations and follow Google-recommended practices.
How should you configure the network for database connectivity?
- A. Provision a Shared VPC project where both the application project and the AlloyDB project are service projects.
- B. Ask the database team to provision AlloyDB databases in the same project and network as the application.
- C. Use AlloyDB Auth Proxy and configure the application project's firewall to allow connections to port 5433.
- D. Provision a service account from the AlloyDB project. Use this service account's JSON key file as the --credentials-file to connect to the AlloyDB instance.
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
You are deploying a microservices application to GKE. One microservice needs to download files from a Cloud Storage bucket. You have an IAM service account with the Storage Object Viewer role on the project with the bucket. You need to configure your application to access the Cloud Storage bucket while following Google-recommended practices. What should you do?
- A. Create a Kubernetes service account. Use an IAM policy to bind the IAM service account to a Kubernetes service account. Annotate the Kubernetes ServiceAccount object with the name of the bound IAM service account. Assign the Kubernetes ServiceAccount to the Pods that need to access the bucket.
- B. Assign the IAM service account to the cluster's node pool. Configure the application to authenticate to the bucket by using Application Default Credentials.
- C. Assign the IAM service account to the cluster's node pool. Encrypt the IAM service account key file by using a symmetric block cipher, and store the encrypted file on a persistent volume. Store the encryption key in Secret Manager.
- D. Create a Kubernetes service account. Create a Kubernetes secret with a base64-encoded IAM service account key file. Annotate the Kubernetes secret with the Kubernetes service account.
Assign the Kubernetes ServiceAccount to the Pods that need to access the bucket.
Correct Answer: A 🗳️
Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).
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