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Deploying Apps

Deploy Applications & Services on the Compute Engine: This area covers bootstrapping of applications, management of service accounts for virtual machines, management of the Compute Engine virtual machine binaries and images, and exporting of application metrics and logs.
Recommend the Relevant Deployment Strategies with the Relevant Tools for a Target Compute Environment: The consideration for this section includes traffic-splitting deployments, canary deployments, rolling deployments, and green/blue deployments.
Use a Service Account: This one covers the students’ skills in downloading and utilizing service account private key files as well as constructing service accounts based on the ethics of least privilege.
Deploy Cloud Functions: The next objective requires having the skills in securing Cloud functions, Cloud functions invoked through HTTP, and Cloud functions triggered through events from Google Cloud services.
Deploy Applications & Services to GKE: This subtopic includes the evaluation of one’s skills in deploying containerized applications to GCE, configuring Google Cloud IAM and Kubernetes RBAC relationships, identifying workload specifications, and configuring the Kubernetes namespaces, among others.

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To prepare for the exam, it is recommended that you have a strong understanding of cloud computing concepts and experience in developing and deploying applications on a cloud platform. You should also have experience using Google Cloud technologies and services. Google provides a range of resources to help you prepare for the exam, including online training courses, documentation, and practice exams. By passing the Google Professional-Cloud-Developer Exam, you can demonstrate your expertise in cloud development and gain recognition as a Google Cloud certified professional.

Google Certified Professional - Cloud Developer Sample Questions (Q245-Q250):

NEW QUESTION # 245
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
Which service should HipLocal use to enable access to internal apps?

A. Virtual Private Cloud
B. Cloud Identity-Aware Proxy
C. Cloud Armor
D. Cloud VPN

Answer: B

Explanation:
https://cloud.google.com/iap/docs/cloud-iap-for-on-prem-apps-overview

NEW QUESTION # 246
You have an application controlled by a managed instance group. When you deploy a new version of the application, costs should be minimized and the number of instances should not increase. You want to ensure that, when each new instance is created, the deployment only continues if the new instance is healthy.
What should you do?

A. Perform a rolling-action with maxSurge set to 1, maxUnavailable set to 0.
B. Perform a rolling-action with maxHealthy set to 0, maxUnhealthy set to 1.
C. Perform a rolling-action with maxSurge set to 0, maxUnavailable set to 1
D. Perform a rolling-action with maxHealthy set to 1, maxUnhealthy set to 0.

Answer: C

Explanation:
maxSurge controls in a rolling update how many resources can be added above threshold of the MIG (managed instance group), while maxUnavailable controls the max number of instances that can be taken offline during update at the same time.

NEW QUESTION # 247
You are planning to migrate a MySQL database to the managed Cloud SQL database for Google Cloud. You have Compute Engine virtual machine instances that will connect with this Cloud SQL instance. You do not want to whitelist IPs for the Compute Engine instances to be able to access Cloud SQL.
What should you do?

A. Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.
B. Create a CloudSQL instance on one project. Create Compute engine instances in a different project.
Create a VPN between these two projects to allow internal access to CloudSQL.
C. Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.
D. Enable private IP for the Cloud SQL instance.

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/sql/docs/mysql/connect-external-app

NEW QUESTION # 248
You are a SaaS provider deploying dedicated blogging software to customers in your Google Kubernetes Engine (GKE) cluster. You want to configure a secure multi-tenant platform to ensure that each customer has access to only their own blog and can't affect the workloads of other customers. What should you do?

A. Build a custom image of the blogging software and use Binary Authorization to prevent untrusted image deployments.
B. Deploy a namespace per tenant and use Network Policies in each blog deployment.
C. Use GKE Audit Logging to identify malicious containers and delete them on discovery.
D. Enable Application-layer Secrets on the GKE cluster to protect the cluster.

Answer: B

NEW QUESTION # 249
There are three teams developing an ecommerce application in the same Google Cloud project.
Team A will build a set of RESTful APIs that exposes some core functionalities for the application.
Team B and Team C will make requests to those APIs in their downstream processes running on Cloud Run services. You need to propose a solution for exposing the APIs in a way that maximizes security and minimizes management overhead for the three teams. How should you design this solution?

A. 1. Team A uses an API key to authorize Cloud API Gateway and shares the key with Team B and Team C.
2. Team B and Team C store the API key in a secret in Secret Manager, and use this API key to access the API endpoint.
B. 1. Team A uses service accounts to authorize Cloud API Gateway. Team B and Team C each create a service account that has access to the APIs.
2. Team B and Team C access the APIs in the Cloud Run service running their processes by using the service accounts attached to their service.
C. 1. Team A uses service accounts to authorize Cloud API Gateway. Team B and Team C each create a service account, export their service account's key, and store each key in a separate secret in Secret Manager.
2. Team B and Team C use this service account key to create an OAuth token to access the APIs.
D. 1. Team A uses Apigee hybrid to create an API key and shares that key with Team B and Team
2. Team B and Team C store the API key in a secret in Secret Manager, and use this API key to access the API endpoint.

Answer: B

Explanation:
This solution maximizes security by using service accounts for authentication and authorization, avoiding the need to manage and distribute API keys or secrets, which can be insecure and cumbersome. By configuring Cloud API Gateway to use service accounts, you ensure that only authorized services can access the APIs securely. Attaching the service accounts directly to Team B and Team C's Cloud Run services enables seamless and secure access without requiring manual handling of credentials.
Using service accounts also aligns with Google Cloud's best practices for identity and access management, minimizing management overhead while providing a scalable and secure way to control access across teams and services.

NEW QUESTION # 250
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