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The exam consists of multiple-choice and multiple-select questions and is timed at two hours. Candidates must achieve a passing score to earn the certification. The certification is valid for two years, after which the candidates need to recertify to maintain their certification status.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q71-Q76):

NEW QUESTION # 71
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
Work with transactions and offer strong consistency.
Work with structured and semi-structured (JSON) data.
Scale transparently to multiple regions globally as the operation grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?

A. Use a Bigtable instance with clusters in multiple regions.
B. Use Cloud SQL for PostgreSQL with both cross-region read replicas.
C. Use Firestore in Datastore mode.
D. Use Cloud Spanner in a multi-region configuration.

Answer: B

NEW QUESTION # 72
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database. Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us-central1 and the backup region of us-east1. What should you do?

A. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-central1-b.
Create a read replica in us-east1-b.
B. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-west1-b.
Create a read replica in us-east1-c.
C. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east1-b.
Create a read replica in us-central1-b.
D. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east-b.
Create a read replica in us-east1-c.

Answer: A

NEW QUESTION # 73
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

A. Use Cloud Spanner.
B. Use Bigtable
C. Use Firestore.
D. Use BigQuery.

Answer: D

NEW QUESTION # 74
You are designing a database architecture for a global application that stores information about public parks worldwide. The application uses the database for read-only purposes, and a centralized batch job updates the database nightly. You want to select an open source, SQL-compliant database. What should you do?

A. Use Cloud SQL for PostgreSQL with cross-region replicas.
B. Use Cloud Spanner with multi-region configuration.
C. Use Bigtable with multi-region clusters.
D. Use Memorystore for Redis with multi-zones within a region.

Answer: A

NEW QUESTION # 75
You work for a large retail and ecommerce company that is starting to extend their business globally. Your company plans to migrate to Google Cloud. You want to use platforms that will scale easily, handle transactions with the least amount of latency, and provide a reliable customer experience. You need a storage layer for sales transactions and current inventory levels. You want to retain the same relational schema that your existing platform uses. What should you do?

A. Store your data in Firestore in a multi-region location, and place your compute resources in one of the constituent regions.
B. Build an in-memory cache in Memorystore, and deploy to the specific geographic regions where your application resides.
C. Deploy a Bigtable instance with a cluster in one region and a replica cluster in another geographic region.
D. Deploy Cloud Spanner using a multi-region instance, and place your compute resources close to the default leader region.

Answer: D

NEW QUESTION # 76
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