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Evaluate your own mistakes each time you attempt the desktop Google Certified Professional - Cloud Developer (Professional-Cloud-Developer) practice exam. It expertly is designed Professional-Cloud-Developer practice test software supervised by a team of professionals. There is 24/7 customer service to help you in any situation. You can customize your desired Professional-Cloud-Developer Exam conditions like exam length and the number of questions.

Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional - Cloud Developer Exam
Exam Number:	Professional-Cloud-Developer
Related Certifications:	Google Cloud Certified Professional - Cloud Architect Google Cloud Certified Associate - Cloud Engineer
Available Languages:	Japanese, English
Passing Score:	Not publicly disclosed
Certificate Validity Period:	2 years
Exam Duration:	120 minutes
Real Exam Qty:	50-60
Exam Price:	$200 USD (plus tax where applicable)
Exam Format:	Multiple choice, Multiple select
Recommended Training:	Google Cloud Professional Cloud Developer Learning Path Official Exam Guide
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online-proctored (remote) or onsite-proctored at authorized testing centers
Pre Condition:	No formal prerequisites; recommended: 3+ years industry experience, 1+ year designing/managing Google Cloud solutions
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-developer

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PassLeader assists people in better understanding, studying, and passing more difficult certification exams. We take pride in successfully servicing industry experts by always delivering safe and dependable exam preparation materials. PassLeader Professional-Cloud-Developer Exam Questions make it possible to appear in the Google Certified Professional - Cloud Developer exam confidently without any fear of failure. PassLeader has extensive experience in compiling the Professional-Cloud-Developer exam questions for the Google exam.

To prepare for the exam, it is recommended that you have a strong understanding of cloud computing concepts and experience in developing and deploying applications on a cloud platform. You should also have experience using Google Cloud technologies and services. Google provides a range of resources to help you prepare for the exam, including online training courses, documentation, and practice exams. By passing the Google Professional-Cloud-Developer Exam, you can demonstrate your expertise in cloud development and gain recognition as a Google Cloud certified professional.

Google Certified Professional - Cloud Developer Sample Questions (Q128-Q133):

NEW QUESTION # 128
Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

A. Write each row to a Cloud Storage object, then load into BigQuery.
B. Include multiple rows with each request.
C. Write each row to a Cloud Storage object in parallel, then load into BigQuery.
D. Perform the inserts in parallel by creating multiple threads.

Answer: D

Explanation:
Explanation/Reference:

NEW QUESTION # 129
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?

A. Create a Cloud Build build config file with a single build step to compile unit and integration tests.
B. Add RUN commands in the Dockerfile to execute unit and integration tests.
C. Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.
D. Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.

Answer: C

Explanation:
https://cloud.google.com/build/docs/build-config-file-schema
A build step specifies an action that you want Cloud Build to perform. For each build step, Cloud Build executes a docker container as an instance of docker run. Build steps are analogous to commands in a script and provide you with the flexibility of executing arbitrary instructions in your build.

NEW QUESTION # 130
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine. What should you do?

A. Place the unique configuration values in the instance template instance metadata.
B. Place the unique configuration values in the instance template startup script.
C. Place the unique configuration values in the persistent disk.
D. Place the unique configuration values in a Cloud Bigtable table.

Answer: C

NEW QUESTION # 131
Your team is building an application for a financial institution. The application's frontend runs on Compute Engine, and the data resides in Cloud SQL and one Cloud Storage bucket. The application will collect data containing PII, which will be stored in the Cloud SQL database and the Cloud Storage bucket. You need to secure the PII data. What should you do?

A. 1. Configure a private IP address for Cloud SQL
2. Use VPC-SC to create a service perimeter
3. Add the Cloud SQL database and the Cloud Storage bucket to different service perimeters
B. 1. Create the relevant firewall rules to allow only the frontend to communicate with the Cloud SQL database
2. Using IAM, allow only the frontend service account to access the Cloud Storage bucket
C. 1. Create the relevant firewall rules to allow only the frontend to communicate with the Cloud SQL database
2. Enable private access to allow the frontend to access the Cloud Storage bucket privately
D. 1. Configure a private IP address for Cloud SQL
2. Use VPC-SC to create a service perimeter
3. Add the Cloud SQL database and the Cloud Storage bucket to the same service perimeter

Answer: D

Explanation:
Without using VPC-SC, the PII data is not secure from exfiltration. So that leaves only C, and D as possible valid responses. However, D can be eliminated because both the Cloud SQL instance and and Cloud Storage bucket must be within the same perimeter, which leaves C and the valid answer.

NEW QUESTION # 132
You are deploying a microservices application to Google Kubernetes Engine (GKE). The application will receive daily updates. You expect to deploy a large number of distinct containers that will run on the Linux operating system (OS). You want to be alerted to any known OS vulnerabilities in the new containers. You want to follow Google-recommended best practices.
What should you do?

A. Use the Container Analysis REST API to call Container Analysis to scan new container images.Review the vulnerability results before each deployment.
B. Enable Container Analysis, and upload new container images to Artifact Registry. Review the critical vulnerability results before each deployment.
C. Use the gcloud CLI to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.
D. Enable Container Analysis, and upload new container images to Artifact Registry. Review the vulnerability results before each deployment.

Answer: D

Explanation:
Container Analysis is a service that provides vulnerability scanning and metadata storage for containers. The scanning service performs vulnerability scans on images in Container Registry and Artifact Registry, then stores the resulting metadata and makes it available for consumption through an API. Metadata storage allows storing information from different sources, including vulnerability scanning, other Google Cloud services, and third-party providers.
https://cloud.google.com/container-analysis/docs/container-analysis

NEW QUESTION # 133
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