Professional-Cloud-Developer Übungstest: Google Certified Professional - Cloud Developer & Professional-Cloud-Developer Braindumps Prüfung

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring cloud-native applications for deployment	24%	- Deploying to App Engine or Cloud Functions 1. Configuring serverless deployments 2. Managing versions and traffic splitting - 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. Managing configurations and secrets 2. Creating and managing workloads and services 3. Configuring scaling, auto-scaling, and updates
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 secure applications 1. Applying security best practices and compliance requirements 2. Implementing authentication and authorization mechanisms 3. Securing data in transit and at rest - Designing high-performing applications and APIs 1. Selecting appropriate compute and deployment platforms 2. Designing for high availability and fault tolerance 3. Optimizing for latency and throughput
Integrating applications with Google Cloud services	21%	- Consuming Google Cloud APIs and services 1. Integrating with AI/ML and generative AI services 2. Enabling and managing APIs 3. Using client libraries, REST, and gRPC - Implementing application performance monitoring 1. Instrumenting code for metrics and traces 2. Using operations suite tools - Integrating with data and storage services 1. Using object storage and file storage solutions 2. Implementing messaging and event streaming 3. Working with relational, NoSQL, and in-memory databases
Building and testing applications	23%	- Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Building applications and containers 1. Configuring build pipelines and provenance 2. Using Cloud Build and Artifact Registry 3. Implementing containerization best practices - Testing applications 1. Automating testing in CI/CD workflows 2. Using AI-assisted development tools 3. Writing unit, integration, and end-to-end tests

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Google Certified Professional - Cloud Developer Professional-Cloud-Developer Prüfungsfragen mit Lösungen (Q148-Q153):

148. Frage
Your application is deployed on hundreds of Compute Engine instances in a managed instance group (MIG) in multiple zones. You need to deploy a new instance template to fix a critical vulnerability immediately but must avoid impact to your service. What setting should be made to the MIG after updating the instance template?

A. Set the Update mode to Opportunistic.
B. Set the Max Surge to 100%.
C. Set the Minimum Wait time to 0 seconds.
D. Set the Maximum Unavailable to 100%.

Antwort: A

Begründung:
Explanation
https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed-instance-groups#type Alternatively, if an automated update is potentially too disruptive, you can choose to perform an opportunistic update. The MIG applies an opportunistic update only when you manually initiate the update on selected instances or when new instances are created. New instances can be created when you or another service, such as an autoscaler, resizes the MIG. Compute Engine does not actively initiate requests to apply opportunistic updates on existing instances.

149. Frage
HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some metrics to help them troubleshoot.
What should they do?

A. Take frequent snapshots of all of the VMs.
B. Install the Stackdriver Logging agent on the VMs.
C. Use Stackdriver Trace to look for performance bottlenecks.
D. Install the Stackdriver Monitoring agent on the VMs.

Antwort: D

150. Frage
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. The application exposes an HTTP-based health check at /healthz. You want to use this health check endpoint to determine whether traffic should be routed to the pod by the load balancer.
Which code snippet should you include in your Podconfiguration?

Antwort: D

Begründung:
For the GKE ingress controller to use your readinessProbes as health checks, the Pods for an Ingress must exist at the time of Ingress creation. If your replicas are scaled to 0, the default health check will apply.

151. Frage
Your company is planning a global event. You need to configure an event registration portal for the event. You have decided to deploy the registration service by using Cloud Run. Your company's marketing team does not want to advertise the Cloud Run service URL. They want the registration portal to be accessed by using a personalized hostname or path in your custom domain URL pattern, for example, <service>.example.com. How should you configure access to the service while following Google-recommended practices?

A. Add a global external Application Load Balancer in front of the service, and configure a DNS record that points to the load balancer's IP address.
B. Set up an HAProxy on Compute Engine, and add routing rules for a custom domain to the Cloud Run service URL.
C. Create a CNAME record that points to the Cloud Run service URL.
D. Configure Cloud Armor to block traffic on the Cloud Run service URL and allow reroutes from only the custom domain URL pattern.

Antwort: A

Begründung:
Using a global external Application Load Balancer allows you to serve your Cloud Run service behind a custom domain with flexible routing and SSL support, following Google-recommended best practices for production workloads.

152. Frage
You work for a financial services company that has a container-first approach. Your team develops microservices applications. A Cloud Build pipeline creates the container image, runs regression tests, and publishes the image to Artifact Registry. You need to ensure that only containers that have passed the regression tests are deployed to Google Kubernetes Engine (GKE) clusters. You have already enabled Binary Authorization on the GKE clusters. What should you do next?

A. Create an attestor and a policy. Create an attestation for the container images that have passed the regression tests as a step in the Cloud Build pipeline.
B. Create an attestor and a policy. After a container image has successfully passed the regression tests, use Cloud Build to run Kritis Signer to create an attestation for the container image.
C. Deploy Voucher Server and Voucher Client components. After a container image has successfully passed the regression tests, run Voucher Client as a step in the Cloud Build pipeline.
D. Set the Pod Security Standard level to Restricted for the relevant namespaces. Use Cloud Build to digitally sign the container images that have passed the regression tests.

Antwort: B

Begründung:
Kritis Signer is an open source command-line tool that can create Binary Authorization attestations based on a policy that you configure. You can also use Kritis Signer to create attestations after checking an image for vulnerabilities identified by Container Analysis.
https://cloud.google.com/binary-authorization/docs/creating-attestations-kritis

153. Frage
......

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