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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Certified Professional - Cloud Developer
Exam Number:	Professional-Cloud-Developer
Related Certifications:	Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect
Exam Duration:	120 minutes
Available Languages:	Japanese, English
Certificate Validity Period:	2 years
Exam Format:	Multiple Select, Multiple Choice
Real Exam Qty:	50-60
Exam Price:	$200 USD
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-developer

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The Professional-Cloud-Developer Exam consists of multiple-choice questions and practical scenarios that test the candidate's ability to design, develop, and deploy applications on Google Cloud Platform. Professional-Cloud-Developer exam covers various topics, including cloud architecture, data storage, networking, security, and application development. Candidates are expected to demonstrate their knowledge of Google Cloud Platform services, such as Cloud Storage, Cloud SQL, Cloud Functions, and Cloud Pub/Sub.

Google Certified Professional - Cloud Developer Sample Questions (Q386-Q391):

NEW QUESTION # 386
You recently joined a new team that has a Cloud Spanner database instance running in production. Your manager has asked you to optimize the Spanner instance to reduce cost while maintaining high reliability and availability of the database. What should you do?

A. Use Cloud Trace to monitor the requests per sec of incoming requests to Spanner, and reduce Spanner processing units by small increments until you find the minimum capacity required.
B. Use Snapshot Debugger to check for application errors, and reduce Spanner processing units by small increments until you find the minimum capacity required.
C. Use Cloud Logging to check for error logs, and reduce Spanner processing units by small increments until you find the minimum capacity required.
D. Use Cloud Monitoring to monitor the CPU utilization, and reduce Spanner processing units by small increments until you find the minimum capacity required.

Answer: D

Explanation:
https://cloud.google.com/spanner/docs/compute-
capacity#increasing_and_decreasing_compute_capacity

NEW QUESTION # 387
You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git repository for version control. Your manager calls you over the weekend and instructs you to make an emergency update to one of the company's websites, and you're the only developer available. You need to access Google Cloud to make the update, but you don't have your work laptop. You are not allowed to store source code locally on a non-corporate computer. How should you set up your developer environment?

A. Use a text editor and the Git command line to send your source code updates as pull requests from a public computer.
B. Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.
C. Use a Cloud Storage bucket to store the source code that you need to edit. Mount the bucket to a public computer as a drive, and use a code editor to update the code. Turn on versioning for the bucket, and point it to the team's Git repository.
D. Use a text editor and the Git command line to send your source code updates as pull requests from a virtual machine running on a public computer.

Answer: B

Explanation:
https://cloud.google.com/shell/docs

NEW QUESTION # 388
You recently developed an application that monitors a large number of stock prices. You need to configure Pub/Sub to receive a high volume messages and update the current stock price in a single large in-memory database The downstream service needs only the most up-to-date prices in the in-memory database to perform stock trading transactions Each message contains three pieces of information
* Stock symbol
* Stock price
* Timestamp for the update
.
How should you set up your Pub/Sub subscription?

A. Create a pull subscription with both ordering and exactly-once delivery turned off
B. Create a push subscription with both ordering and exactly-once delivery turned off
C. Create a push subscription with exactly-once delivery enabled
D. Create a pull subscription with exactly-once delivery enabled

Answer: C

NEW QUESTION # 389
You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?

A. Perform a rolling update with a PodDisruptionBudget of 80%.
B. Convert the Deployment to a StatefulSet, and perform a rolling update with a PodDisruptionBudget of 80%.
C. Convert the Deployment to a StatefulSet, and perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.
D. Perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.

Answer: A

Explanation:
https://cloud.google.com/blog/products/containers-kubernetes/ensuring-reliability-and-uptime-for- your-gke-cluster Setting PodDisruptionBudget ensures that your workloads have a sufficient number of replicas, even during maintenance. Using the PDB, you can define a number (or percentage) of pods that can be terminated, even if terminating them brings the current replica count below the desired value. With PDB configured, Kubernetes will drain a node following the configured disruption schedule. New pods will be deployed on other available nodes. This approach ensures Kubernetes schedules workloads in an optimal way while controlling the disruption based on the PDB configuration.

NEW QUESTION # 390
You recently deployed an API to process hotel room requests. You need to enforce a quota on incoming API requests that allows no more than 1000 API search requests by each customer for every successful booking by that customer. You want the quota to reset every 24 hours. You want to prioritize the speed of the API over allowing exactly 1000 searches for every booking.
What should you do?

A. Store a query counter in memory that counts the number of search requests by each customer.
Reset the counter to zero when a booking occurs or 24 hours have passed. Deny a search request if the user's counter is over 1000.
B. In BigQuery, store a table row for each search and booking request along with the customer ID and current time. Query the table for the number of prior search and booking requests made in the last 24 hours. Deny the search request if the number of prior search requests is 1000 times more than the number of prior booking requests.
C. Configure an Apigee Quota policy with the Synchronous setting set to false. Reset the quota on every booking or when 24 hours have passed.
D. Store a query counter in a Firestore document that uses the customer ID as the key. Reset the counter to zero when a booking occurs or 24 hours have passed. Deny a search request if the user's counter is over 1000.

Answer: C

Explanation:
An Apigee Quota policy with the Synchronous setting set to false efficiently enforces quotas with high performance, prioritizing API speed. It allows quota resets based on bookings or time, as required, even if the enforcement is not perfectly exact.

NEW QUESTION # 391
......

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