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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Build and test applications	- Manage development environments 1. Perform application testing 2. Implement CI/CD pipelines 3. Build application artifacts
Topic 2: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Choose storage options for application data 2. Design resilient and scalable application architectures 3. Design secure applications
Topic 3: Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Implement authentication and authorization 2. Integrate with Google Cloud APIs 3. Use messaging and event-driven services
Topic 4: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Manage application rollout strategies 3. Deploy applications to Google Kubernetes Engine
Topic 5: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Configure logging and tracing 2. Optimize application performance 3. Analyze metrics and alerts

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Google Certified Professional - Cloud Developer Sample Questions (Q119-Q124):

NEW QUESTION # 119
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.
In order to meet their business requirements, how should HipLocal store their application state?

A. Use local SSDs to store state.
B. Move the state storage to Cloud Spanner.
C. Put a memcache layer in front of MySQL.
D. Replace the MySQL instance with Cloud SQL.

Answer: D

NEW QUESTION # 120
Your team is creating a serverless web application on Cloud Run. The application needs to access images stored in a private Cloud Storage bucket. You want to give the application Identity and Access Management (IAM) permission to access the images in the bucket, while also securing the services using Google-recommended best practices What should you do?

A. Enforce signed URLs for the desired bucket. Grant the Storage Object Viewer IAM role on the bucket to the Compute Engine default service account.
B. Enforce public access prevention for the desired bucket. Create and update the Cloud Run service to use a user-managed service account. Grant the Storage Object Viewer IAM role on the bucket to the service account.
C. Enforce public access prevention for the desired bucket. Grant the Storage Object Viewer IAM role on the bucket to the Compute Engine default service account.
D. Enforce signed URLs for the desired bucket Create and update the Cloud Run service to use a user -managed service account. Grant the Storage Object Viewer IAM role on the bucket to the service account

Answer: C

NEW QUESTION # 121
You are building a highly available and globally accessible application that will serve static content to users. You need to configure the storage and serving components. You want to minimize management overhead and latency while maximizing reliability for users. What should you do?

A. 1) Create an unmanaged instance group. Replicate the static content across the VMs.
2) Create an external HTTP(S) load balancer
3) Enable Cloud CDN, and send traffic to the unmanaged instance group.
B. 1) Create a Standard storage class, multi-regional Cloud Storage bucket. Put the static content in the bucket.
2) Reserve an external IP address, and create an external HTTP(S) load balancer.
3) Enable Cloud CDN, and send traffic to your backend bucket.
C. 1) Create a Standard storage class, regional Cloud Storage bucket. Put the static content in the bucket
2) Reserve an external IP address, and create an external HTTP(S) load balancer
3) Enable Cloud CDN, and send traffic to your backend bucket
D. 1) Create a managed instance group. Replicate the static content across the virtual machines (VMs)
2) Create an external HTTP(S) load balancer.
3) Enable Cloud CDN, and send traffic to the managed instance group.

Answer: B

NEW QUESTION # 122
You want to create `fully baked` or `golden` Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

A. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, read the
"DATABASE" environment variable, and use the value to connect to the appropriate database.
B. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, query the metadata server for the "DATABASE" value, and use the value to connect to the appropriate database.
C. Embed the appropriate database connection string in the image. Create a different image for each environment.
D. When creating the Compute Engine instance, add a tag with the name of the database to be connected. In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.

Answer: B

Explanation:
https://cloud.google.com/compute/docs/metadata/querying-metadata

NEW QUESTION # 123
Your team is setting up a build pipeline for an application that will run in Google Kubernetes Engine (GKE). For security reasons, you only want images produced by the pipeline to be deployed to your GKE cluster. Which combination of Google Cloud services should you use?

A. Cloud Build. Artifact Registry and Binary Authorization
B. Google Cloud Deploy. Artifact Registry, and Google Cloud Armor
C. Cloud Build, Cloud Storage, and Binary Authorization
D. Google Cloud Deploy, Cloud Storage and Google Cloud Armor

Answer: B

NEW QUESTION # 124
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