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The Google Professional Cloud Developer certificate is intended to validate the competence of IT professionals tasked with building highly available and scalable applications with the aid of Google endorsed practices and tools. Such individuals will have to demonstrate an understanding of developer tools, cloud-native applications, modern databases, and managed services during the corresponding exam. What’s more, targeted specialists need to have background experience working with at least one programming language and should be proficient in creating useful metrics and logs for debugging and trace coding.

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Google Professional-Cloud-Developer Certification Exam is an industry-recognized certification that validates the proficiency of developers in developing and designing highly scalable, efficient, and secure cloud applications on GCP. Acquiring this certification can help individuals enhance their career opportunities, demonstrate their expertise in the field, and gain the trust of potential employers. Google Certified Professional - Cloud Developer certification exam is challenging, but the rewards that come with it are significant, and it is an excellent investment for individuals seeking to validate their skills and knowledge in GCP.

Google Certified Professional - Cloud Developer Sample Questions (Q337-Q342):

NEW QUESTION # 337
Your company's development teams want to use various open source operating systems in their Docker builds.
When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?

A. Use Cloud Monitoring to review the output of Cloud Build to determine whether a vulnerable version has been used.
B. Create a Cloud Function that is triggered on a code check-in and scan the code for CVEs.
C. Enable the Vulnerability scanning setting in the Container Registry.
D. Disallow the use of non-commercially supported base images in your development environment.

Answer: C

Explanation:
Explanation
https://cloud.google.com/container-analysis/docs/os-overview

NEW QUESTION # 338
Your operations team has asked you to create a script that lists the Cloud Bigtable, Memorystore, and Cloud SQL databases running within a project. The script should allow users to submit a filter expression to limit the results presented. How should you retrieve the data?

A. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use a filter within the application, and then display the results
B. Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Filter the results individually, and then combine them to display the results
C. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use -
-filter flag with each command, and then display the results
D. Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Combine the results, and then apply the filter to display the results

Answer: C

Explanation:
https://cloud.google.com/sdk/gcloud/reference/topic/filters
Most gcloud commands return a list of resources on success. By default they are pretty-printed on the standard output. The --format=NAME[ATTRIBUTES](PROJECTION) and -- filter=EXPRESSION flags along with projections can be used to format and change the default output to a more meaningful result.
Use the --format flag to change the default output format of a command. For details run $ gcloud topic formats.
Use the --filter flag to select resources to be listed. Resource filters are described in detail below.

NEW QUESTION # 339
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?

A. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.
B. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.
C. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.
D. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.

Answer: C

NEW QUESTION # 340
In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?

A. Cloud Spanner
B. Separate Cloud SQL clusters for each region
C. Cloud Memorystore as a cache
D. Cloud Datastore

Answer: B

NEW QUESTION # 341
This architectural diagram depicts a system that streams data from thousands of devices. You want to ingest data into a pipeline, store the data, and analyze the data using SQL statements. Which Google Cloud services should you use for steps 1, 2, 3, and 4?

A. 1) Pub/Sub
2) Dataflow
3) Firestore
4) BigQuery
B. 1) Pub/Sub
2) Dataflow
3) BigQuery
4) Firestore
C. 1) App Engine
2) Pub/Sub
3) BigQuery
4) Firestore
D. 1) Dataflow
2) Pub/Sub
3) Firestore
4) BigQuery

Answer: A

NEW QUESTION # 342
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