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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q394-Q399):

NEW QUESTION # 394
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

A. Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.
B. Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.
C. Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.
D. Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.

Answer: C

Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_bluegreen_deployment

NEW QUESTION # 395
You are using Cloud Run and Cloud SQL for PostgreSQL to develop an application. You want to test your application code locally before deploying new application versions to the development environment that is shared with other developers. You need to set up your Cloud Run local development environment to test your application while keeping all traffic to Cloud SQL instances encrypted and authenticated to Cloud IAM and PostgreSQL. What should you do before starting the local development server?

A. Install PostgreSQL on your local workstation. Run a local PostgreSQL database on your workstation. Configure the application to connect to a PostgreSQL instance on localhost.
B. Deploy a Compute Engine instance, and install HAProxy on the instance. Configure Cloud SQL Auth Proxy on the instance, and use the instance's service account to authenticate to Cloud SQL.
Configure the application to connect to the Compute Engine instance's IP address.
C. Download and install the Cloud SQL Auth Proxy to your local development environment.
Configure the Cloud SQL Auth Proxy to connect to the Cloud SQL instance and run the proxy.
Configure the application to connect to a PostgreSQL instance on localhost.
D. Configure your local development server to connect to the private IP address of the Cloud SQL instance. Encrypt database entries with a cryptographic library before submitting them to the database. Store the decryption key as an environment variable in Cloud Run.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/connect-app-engine-standard

NEW QUESTION # 396
Your company plans to expand their analytics use cases. One of the new use cases requires your data analysts to analyze events using SQL on a near real-time basis. You expect rapid growth and want to use managed services as much as possible. What should you do?

A. Create a Cloud Pub/Sub topic and a subscription. Stream your events from the source into the Pub/Sub topic. Leverage Cloud Dataflow to ingest these events into Cloud Datastore.
B. Create a Cloud Pub/Sub topic and a subscription. Stream your events from the source into the Pub/Sub topic. Leverage Cloud Dataflow to ingest these events into BigQuery.
C. Create a Cloud Pub/Sub topic and a subscription. Stream your events from the source into the Pub/Sub topic. Leverage Cloud Dataflow to ingest these events into Cloud Storage.
D. Create a Kafka instance on a large Compute Engine instance. Stream your events from the source into a Kafka pipeline. Leverage Cloud Dataflow to ingest these events into Cloud Storage.

Answer: B

Explanation:
A is not correct because this solution doesn't provide a fully managed solution.
B is not correct because Cloud Storage is not ideal for inserting individual events and analyzing them via SQL.
C is correct because all three products involved can scale to significant volumes, and writing the data to BigQuery allows for immediate analysis via SQL.
D Is not correct because Cloud Datastore is not ideal for inserting individual events and analyzing them.

NEW QUESTION # 397
You are developing an internal application that will allow employees to organize community events within your company. You deployed your application on a single Compute Engine instance. Your company uses Google Workspace (formerly G Suite), and you need to ensure that the company employees can authenticate to the application from anywhere. What should you do?

A. Add a public IP address to your instance, and restrict access to the instance using firewall rules. Allow your company's proxy as the only source IP address.
B. Add an HTTP(S) load balancer in front of the instance, and set up Identity-Aware Proxy (IAP). Configure the IAP settings to allow your company domain to access the website.
C. Set up a VPN tunnel between your company network and your instance's VPC location on Google Cloud. Configure the required firewall rules and routing information to both the on-premises and Google Cloud networks.
D. Add a public IP address to your instance, and allow traffic from the internet. Generate a random hash, and create a subdomain that includes this hash and points to your instance. Distribute this DNS address to your company's employees.

Answer: B

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/control-access-your-web-sites-identity-aware-proxy

NEW QUESTION # 398
You have deployed an HTTP(s) Load Balancer with the gcloud commands shown below.

Health checks to port 80 on the Compute Engine virtual machine instance are failing and no traffic is sent to your instances. You want to resolve the problem.
Which commands should you run?

A. gcloud compute instances add-access-config ${NAME}-backend-instance-1
B. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --destination-ranges 130.211.0.0/22,35.191.0.0/16 --direction EGRESS
C. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --source-ranges 130.211.0.0/22,35.191.0.0/16 --direction INGRESS
D. gcloud compute instances add-tags ${NAME}-backend-instance-1 --tags http-server

Answer: C

NEW QUESTION # 399
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