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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Ensure reliability, performance, and optimization	- Security and compliance 1. Encryption at rest and in transit 2. IAM roles and access control - Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services
Manage a database solution spanning multiple systems	- Operational database management 1. Monitoring and performance tuning 2. Capacity planning and scaling 3. Backup and restore strategies
Migrate data solutions to Google Cloud	- Database migration strategies 1. Lift-and-shift vs re-platforming 2. Online vs offline migration tools (e.g., Database Migration Service)
Design scalable and highly available database solutions	- Select appropriate database services (relational, NoSQL, analytical) 1. Bigtable use cases and schema design 2. Firestore and document database patterns 3. Cloud SQL vs AlloyDB vs Spanner selection criteria - Design for high availability and disaster recovery 1. Regional vs multi-regional architectures 2. Replication strategies and failover design

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q78-Q83):

NEW QUESTION # 78
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 Firestore.
B. Use BigQuery.
C. Use Bigtable
D. Use Cloud Spanner.

Answer: B

NEW QUESTION # 79
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 Cloud Spanner in a multi-region configuration.
B. Use Firestore in Datastore mode.
C. Use a Bigtable instance with clusters in multiple regions.
D. Use Cloud SQL for PostgreSQL with both cross-region read replicas.

Answer: D

NEW QUESTION # 80
You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?

A. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central2-a
cluster-c in zone asia-northeast1-b
cluster-d in zone asia-east1-b
B. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone europe-west1-d
cluster-c in zone asia-east1-b
C. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central1-b
cluster-c in zone us-east1-a
D. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone australia-southeast1-a
cluster-c in zone europe-west1-d
cluster-d in zone asia-east1-b

Answer: A

NEW QUESTION # 81
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

A. Use Firestore.
B. Use Bigtable.
C. Use Cloud SQL for MySQL
D. Use Cloud Spanner.

Answer: C

NEW QUESTION # 82
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 Bigtable with multi-region clusters.
B. Use Memorystore for Redis with multi-zones within a region.
C. Use Cloud SQL for PostgreSQL with cross-region replicas.
D. Use Cloud Spanner with multi-region configuration.

Answer: C

NEW QUESTION # 83
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