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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q59-Q64):

NEW QUESTION # 59
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-tags ${NAME}-backend-instance-1 --tags http-server
B. gcloud compute instances add-access-config ${NAME}-backend-instance-1
C. 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
D. 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

Answer: D

Explanation:
Reference: https://cloud.google.com/vpc/docs/special-configurations

NEW QUESTION # 60
Your company's corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there.
What should you do?

A. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
B. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.
C. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.
D. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

Answer: A

Explanation:
Explanation
https://cloud.google.com/build/docs/configuring-builds/pass-data-between-steps#passing_data_using_workspace To pass data between build steps, store the assets produced by the build step in /workspace and these assets will be available to any subsequent build steps.

NEW QUESTION # 61
You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:
* Test frequent local changes automatically.
* Local deployment emulates production deployment.
Which tools should you use to test building and running a container on your laptop using minimal resources'?

A. Terraform and kubeadm
B. Docker Compose and dockerd
C. kaniko and Tekton
D. Minikube and Skaffold

Answer: B

NEW QUESTION # 62
You have a mixture of packaged and internally developed applications hosted on a Compute Engine instance that is running Linux. These applications write log records as text in local files. You want the logs to be written to Cloud Logging. What should you do?

A. Install a Google version of collectd on the Compute Engine instance.
B. Using cron, schedule a job to copy the log files to Cloud Storage once a day.
C. Install a Google version of fluentd on the Compute Engine instance.
D. Pipe the content of the files to the Linux Syslog daemon.

Answer: C

NEW QUESTION # 63
You are developing an ecommerce application that stores customer, order, and inventory data as relational tables inside Cloud Spanner. During a recent load test, you discover that Spanner performance is not scaling linearly as expected. Which of the following is the cause?

A. The use of 64-bit numeric types for 32-bit numbers.
B. The use of Version 1 UUIDs as primary keys that increase monotonically.
C. The use of the STRING data type for arbitrary-precision values.
D. The use of LIKE instead of STARTS_WITH keyword for parameterized SQL queries.

Answer: B

NEW QUESTION # 64
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