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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
Available Languages:	English, Japanese
Exam Duration:	120 minutes
Exam Format:	Multiple Select, Multiple Choice
Certificate Validity Period:	2 years
Real Exam Qty:	50-60
Exam Price:	$200 USD
Related Certifications:	Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect
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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Google Professional-Cloud-Developer Exam is a certification exam designed to test your skills and knowledge in developing applications on the Google Cloud Platform (GCP). Professional-Cloud-Developer exam is intended for experienced developers who are looking to validate their expertise in designing, developing, and deploying cloud-native applications using GCP services.

Google Certified Professional - Cloud Developer Sample Questions (Q341-Q346):

NEW QUESTION # 341
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 in parallel, then load into BigQuery.
B. Include multiple rows with each request.
C. Write each row to a Cloud Storage object, then load into BigQuery.
D. Perform the inserts in parallel by creating multiple threads.

Answer: D

NEW QUESTION # 342
The development teams in your company want to manage resources from their local environments. You have been asked to enable developer access to each team's Google Cloud projects. You want to maximize efficiency while following Google-recommended best practices.
What should you do?

A. Add the users to their projects, assign the relevant roles to the users, and then provide the users with each relevant Project Number.
B. Create groups, add the users to their groups, assign the relevant roles to the groups, and then provide the users with each relevant Project Number.
C. Create groups, add the users to their groups, assign the relevant roles to the groups, and then provide the users with each relevant Project ID.
D. Add the users to their projects, assign the relevant roles to the users, and then provide the users with each relevant Project ID.

Answer: C

Explanation:
This is the most efficient and secure way to enable developer access to Google Cloud projects.
By creating groups and assigning roles to the groups, you can minimize the administrative overhead of managing user permissions. You can also provide developers with access to the projects they need, while limiting their access to other resources.

NEW QUESTION # 343
You are developing an application that needs to connect to a Cloud SQL for PostgreSQL database by using the Cloud SQL Auth Proxy. The Cloud SQL Auth Proxy is hosted in a different Google Cloud VPC network. The Cloud SQL for PostgreSQL instance has public and private IP addresses. You are required to use the private IP for security reasons. When testing the connection to the Cloud SQL instance, you can connect by using the public IP address, but you are unable to connect by using the private IP address. How should you fix this issue?

A. Run the Cloud SQL Auth Proxy as a background service.
B. Set up VPC Network Peering between your VPC and the VPC where the Cloud SQL instance is deployed.
C. Grant yourself the IAM role that provides access to the Cloud SQL instance.
D. Add the --private-ip option when starting the Cloud SQL Auth Proxy.

Answer: B

Explanation:
VPC Network Peering is required to enable private IP connectivity between resources in different VPC networks. Without peering, you cannot reach the private IP address of the Cloud SQL instance from another VPC.

NEW QUESTION # 344
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: Firestore
Data type 2: Cloud SQL
Data type 3: BigQuery
B. Data type 1: Memorystore
Data type 2: Spanner
Data type 3: Bigtable
C. Data type 1: Firestore
Data type 2: Firestore
Data type 3: BigQuery
D. Data type 1: Memorystore
Data type 2: Firestore
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 # 345
Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of steps. What should you do? (Choose two.)

A. Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.
B. Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.
C. Create aggregated exports on application logs to BigQuery to facilitate log analytics.
D. Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
E. Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.

Answer: B,E

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/about-logs#best_practices

NEW QUESTION # 346
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