Professional-Cloud-Developer New Dumps | Professional-Cloud-Developer Test Score Report

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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional - Cloud Developer Exam
Exam Number:	Professional-Cloud-Developer
Exam Price:	$200 USD (plus tax where applicable)
Exam Duration:	120 minutes
Real Exam Qty:	50-60
Certificate Validity Period:	2 years
Exam Format:	Multiple select, Multiple choice
Passing Score:	Not publicly disclosed
Related Certifications:	Google Cloud Certified Professional - Cloud Architect Google Cloud Certified Associate - Cloud Engineer
Available Languages:	English, Japanese
Recommended Training:	Official Exam Guide Google Cloud Professional Cloud Developer Learning Path
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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The Professional-Cloud-Developer Certification Exam is a computer-based exam that consists of multiple-choice and multiple-select questions. Professional-Cloud-Developer exam is timed, and candidates are given approximately two hours to complete it. A passing score is required to earn the certification, and the certification is valid for two years. After two years, candidates must retake the exam to maintain their certification.

Google Certified Professional - Cloud Developer Sample Questions (Q203-Q208):

NEW QUESTION # 203
Your company is planning to migrate their on-premises Hadoop environment to the cloud.
Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture.
How should you proceed with the migration?

A. Create Compute Engine instances with HDD instead of SSD to save costs.
Then perform a full migration of your existing environment into the new one in Compute Engine instances.
B. Migrate your data stored in Hadoop to BigQuery.
Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.
C. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster.
Move your HDFS data into larger HDD disks to save on storage costs.
D. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster.
Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.

Answer: D

Explanation:
https://cloud.google.com/architecture/hadoop/hadoop-gcp-migration-overview Keeping your data in a persistent HDFS cluster using Dataproc is more expensive than storing your data in Cloud Storage, which is what we recommend, as explained later. Keeping data in an HDFS cluster also limits your ability to use your data with other Google Cloud products.
Google Cloud includes Dataproc, which is a managed Hadoop and Spark environment. You can use Dataproc to run most of your existing jobs with minimal alteration, so you don't need to move away from all of the Hadoop tools you already know.

NEW QUESTION # 204
Your code is running on Cloud Functions in project A. It is supposed to write an object in a Cloud Storage bucket owned by project B. However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Enable the Cloud Storage API in project B.
B. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
C. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-admin- robot.iam.gserviceaccount.com service account.
D. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.

Answer: C

NEW QUESTION # 205
You recently deployed an Apigee API proxy to your organization across two regions. Both regions are configured with a separate backend that is hosting the API. You need to configure Apigee to route traffic to the appropriate local region backend. What should you do?

A. Configure a TargetServer for each region's backend host names. Configure the API proxy to choose the TargetServer based on the system.region.name flow variable.
B. Create a TargetEndpoint with a weighted load balancing algorithm. Configure the API proxy to use the same weights for each region's backend.
C. Configure a regional internal Application Load Balancer in each region, and use health checks to verify that each backend is active. Create a DNS A record that contains the IP addresses of both regions' load balancers. Configure a TargetServer for each region that uses this DNS name.
D. Configure a global external Application Load Balancer and configure each region's backend with a different regional backend service. Each region communicates to this single global external Application Load Balancer as its TargetServer.

Answer: A

Explanation:
https://cloud.google.com/apigee/docs/api-platform/reference/api-proxy-configuration-reference

NEW QUESTION # 206
You are developing a new ecommerce application that uses Cloud Run functions. You want to expose your application's APIs to public users while maintaining a high level of security. You need to ensure that only authorized users can access your APIs and that all API traffic is encrypted and protected from unauthorized access. You want to use the most scalable and secure approach. What should you do?

A. Deploy your Cloud Functions behind an Apigee proxy and use Apigee's authentication and authorization features to secure your APIs.
B. Deploy your Cloud Functions with Security Command Center enabled, and use IAM to manage access to your APIs.
C. Deploy your Cloud Functions behind a Cloud API Gateway proxy. Create and use an API key to authorize users to access your APIs.
D. Deploy your Cloud Functions behind Cloud Load Balancing, and use Cloud Armor to protect your APIs from distributed denial of service (DDoS) attacks.

Answer: A

Explanation:
Apigee is a robust API management platform that provides comprehensive security, including authentication, authorization, and rate limiting, making it well-suited for public-facing APIs. By deploying Cloud Functions behind an Apigee proxy, you can enforce strict security policies, manage user authentication, and leverage Apigee's built-in features for protecting your APIs against unauthorized access. Apigee also provides support for encryption, scalability, and monitoring, which meets the requirements for secure, scalable, and public access.
While API Gateway offers some security features, Apigee provides a broader set of capabilities specifically tailored for secure, enterprise-grade API management.

NEW QUESTION # 207
You are developing a new mobile game that will be deployed on GKE and Cloud Run as a set of microservices. Currently, there are no projections for the game's user volume.
You need to store the following data types:
- Data type 1: leaderboard data
- Data type 2: player profiles, chats, and news feed
- Data type 3: player clickstream data for BI
You need to identify a data storage solution that is easy to use, cost-effective, scalable, and supports offline caching on the user's device. Which data storage option should you choose for the different data types?

A. Data type 1: Memorystore
Data type 2: Spanner
Data type 3: Bigtable
B. Data type 1: Memorystore
Data type 2: Firestore
Data type 3: BigQuery
C. Data type 1: Firestore
Data type 2: Firestore
Data type 3: BigQuery
D. Data type 1: Firestore
Data type 2: Cloud SQL
Data type 3: BigQuery

Answer: C

Explanation:
Firestore is scalable, easy to use, and supports offline caching for both leaderboard data and player profiles/chats/news feeds. BigQuery is cost-effective and designed for scalable analytics, making it suitable for storing and analyzing clickstream data for BI.

NEW QUESTION # 208
......

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