Professional-Cloud-Developer 무료 덤프문제 온라인 액세스

You are a cluster administrator for Google Kubernetes Engine (GKE). Your organization's clusters are enrolled in a release channel. You need to be informed of relevant events that affect your GKE clusters, such as available upgrades and security bulletins. What should you do?

• A.Execute a scheduled query against the google_cloud_release_notes BigQuery dataset.
• B.Create an RSS subscription to receive a daily summary of the GKE release notes.
• C.Configure cluster notifications to be sent to a Pub/Sub topic.
• D.Query the GKE API for available versions.

You manage an application deployed on GKE clusters across multiple environments. You are using Cloud Build to run user acceptance testing (UAT) tests. You have integrated Cloud Build with Artifact Analysis, and enabled the Binary Authorization API in all Google Cloud projects hosting your environments. You want only container images that have passed certain automated UAT tests to be deployed to the production environment. You have already created an attestor.
What should you do next?

• A.After the UAT phase, sign the attestation with a key stored in Cloud Key Management Service (KMS). Add a default rule in Binary Authorization for the UAT Google Cloud project.
• B.After the UAT phase, sign the attestation with a key stored in Cloud Key Management Service (KMS). Add a GKE cluster-specific rule in Binary Authorization for the production Google Cloud project policy.
• C.After the UAT phase, sign the attestation with a key stored as a Kubernetes secret. Add a GKE cluster-specific rule in Binary Authorization for the production Google Cloud project policy.
• D.After the UAT phase, sign the attestation with a key stored as a Kubernetes secret. Add a GKE cluster-specific rule in Binary Authorization for the UAT Google Cloud project.

You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?

• A.Compute Engine
• B.App Engine flexible environment
• C.Cloud Run
• D.Google Kubernetes Engine

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.
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 a dedicated Compute Engine virtual machine instance for the service.
• D.Use App Engine for autoscaling.

You are developing a new public-facing application that needs to retrieve specific properties in the metadata of users' objects in their respective Cloud Storage buckets. Due to privacy and data residency requirements, you must retrieve only the metadata and not the object data. You want to maximize the performance of the retrieval process. How should you retrieve the metadata?

• A.Use the compose method.
• B.Use the fields request parameter.
• C.Use the copy method.
• D.Use the patch method.