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The Google Certified Professional - Cloud Developer certification exam includes topics such as deploying applications using Google Cloud Platform, designing scalable and highly available software systems, testing and debugging applications, and integrating GCP services into applications. Additionally, a solid understanding of various programming languages such as Java, Python, and other programming languages is essential.

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Google Professional-Cloud-Developer certification exam is designed to validate the skills and knowledge of developers who are interested in working with cloud-based applications and services on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is ideal for professionals who want to demonstrate their expertise in developing, deploying, and managing applications on the GCP.

Google Professional-Cloud-Developer Certification Exam is intended for developers who have experience with Google Cloud Platform, as well as those who are familiar with at least one programming language such as Java, Python, or Node.js. Candidates are expected to have knowledge of cloud application development principles, containerization technologies, and best practices for building scalable and secure applications.

Google Certified Professional - Cloud Developer Sample Questions (Q73-Q78):

NEW QUESTION # 73
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 vulnerability results before each deployment.
C. Enable Container Analysis, and upload new container images to Artifact Registry. Review the critical vulnerability results before each deployment.
D. Use the gcloud CLI to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.

Answer: B

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 # 74
You are developing an event-driven application. You have created a topic to receive messages sent to Pub/Sub. You want those messages to be processed in real time. You need the application to be independent from any other system and only incur compute costs when new messages arrive. You want to configure the simplest and most efficient architecture What should you do?

A. Deploy the application on Compute Engine. Use a Pub/Sub push subscription to process new messages in the topic.
B. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to invoke the Cloud Function. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.
C. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to handle new messages in the topic.
D. Deploy the application on Google Kubernetes Engine. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it

Answer: C

Explanation:
https://cloud.google.com/functions/docs/calling/pubsub

NEW QUESTION # 75
Laura is performing a visual inspection of an embedded battery. What kinds of cosmetic issues should she look for? (Choose two.)

A. Apple logo
B. Apple product serial number
C. UPC Code
D. QR Code
E. Dents or dot imprints
F. IATA complice label
G. Scratches

Answer: E,G

Explanation:
Explanation/Reference: https://docplayer.net/50514766-Embedded-battery-safety.html

NEW QUESTION # 76
You are a developer at a company that operates an ecommerce website. The website stores the customer order data in a Cloud SQL for PostgreSQL database. Data scientists on the marketing team access this data to run their reports. Every time they run these reports, the website's performance is negatively affected. You want to provide access to up-to-date customer order datasets without affecting your website. What should you do?

A. Set up a BigQuery dataset for the data science team. Configure Datastream to replicate the relevant Cloud SQL tables in BigQuery.
B. Configure Cloud Scheduler to run an hourly Cloud Run function that exports the data from the Cloud SQL database into CSV format and sends the data to a Cloud Storage bucket.
C. Set up a Bigtable table for the data science team. Configure the application to perform dual writes to both Cloud SQL and Bigtable simultaneously.
D. Create a clone of the PostgreSQL database instance for the data science team. Schedule a job to create a new clone every 15 minutes.

Answer: A

Explanation:
https://careerfoundry.com/en/blog/data-analytics/where-to-find-free-datasets/

NEW QUESTION # 77
Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH.
What should you do next?

A. Take a snapshot of the disk and attach it to a new machine.
B. Delete the machine and create a new one.
C. Enable and check the serial port output.
D. Reboot the machine.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-
ssh#debug_with_serial_console

NEW QUESTION # 78
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