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

Section	Weight	Objectives
Deploy scalable and highly available databases in Google Cloud	20%	- Configure monitoring and alerting 1. Performance dashboards 2. Health checks and alerts - Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code - Implement high availability solutions 1. Read replicas deployment 2. Multi-region replication 3. Provision HA configurations
Manage a solution that spans multiple database technologies	25%	- Determine connectivity and access management 1. IAM policies and permissions 2. User authentication and authorization - Optimize cost and performance 1. Scaling strategies 2. Automate operational tasks 3. Cost optimization - Configure monitoring and troubleshooting 1. Performance monitoring 2. Troubleshoot common issues 3. Query optimization - Manage database operations and maintenance 1. Index management 2. Updates and upgrades 3. Data lifecycle management
Migrate data solutions	14%	- Validate and cut over migration 1. Data integrity verification 2. Cutover procedures - Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning - Implement migration and replication 1. Migration tool selection 2. Data replication methods 3. Schema conversion
Design innovative, scalable, and highly available cloud database solutions	32%	- Design for high availability and reliability 1. High availability configurations 2. Replication strategies 3. Disaster recovery planning - Design for backup and recovery 1. RTO and RPO design 2. Data import/export planning 3. Backup strategies - Analyze variables for capacity and usage planning 1. Evaluate performance and cost tradeoffs 2. Size compute and storage resources 3. Solution sizing based on workload and requirements - Design for security and compliance 1. Access control and IAM 2. Compliance requirements 3. Data encryption

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q179-Q184):

NEW QUESTION # 179
You are migrating your on-premises PostgreSQL database to Spanner. You need to identify a solution for handling existing integer-based table primary keys. You want minimal changes to the applications while also following Google-recommended practices. What should you do-

A. Generate values by using BIT_REVERSED_POSITIVEsequences.
B. Use application generated sequential integer values as primary keys.
C. Use a UUID function that generates UUID Version 4 values as primary keys.
D. Update default primary key values to max(primary_key) + 1.

Answer: A

Explanation:
Using Spanner's BIT_REVERSED_POSITIVE sequence function lets you keep your existing integer-typed keys while automatically scattering new key values across Spanner's key space, avoiding hotspotting. This approach requires minimal application changes (you still use integers) and follows Google's guidance for distributed primary keys in Spanner.

NEW QUESTION # 180
You are building an Android game that needs to store data on a Google Cloud serverless database. The database will log user activity, store user preferences, and receive in-game updates. The target audience resides in developing countries that have intermittent internet connectivity. You need to ensure that the game can synchronize game data to the backend database whenever an internet network is available. What should you do?

A. Use Cloud Spanner.
B. Use Firestore.
C. Use Cloud SQL with an external (public) IP address.
D. Use an in-app embedded database.

Answer: B

Explanation:
https://firebase.google.com/docs/firestore

NEW QUESTION # 181
Your ecommerce application connecting to your Cloud SQL for SQL Server is expected to have additional traffic due to the holiday weekend. You want to follow Google-recommended practices to set up alerts for CPU and memory metrics so you can be notified by text message at the first sign of potential issues. What should you do?

A. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
B. Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub.
C. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
D. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.

Answer: D

Explanation:
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. Using the BindPlane service, you can also collect this data from over 150 common application components, on-premise systems, and hybrid cloud systems.

NEW QUESTION # 182
Your company's rapidly growing ecommerce application uses Cloud SQL for MySQL.
Performance issues are surfacing during peak traffic periods. You need to ensure that the database can handle the load while minimizing downtime. What should you do-

A. Vertically scale the primary instance by significantly increasing compute resources, such as vCPUs and memory.
B. Use read replicas for query offloading, configure automatic failover, and test failover procedures regularly.
C. Migrate to a Cloud SQL for PostgreSQL database for better performance during high load.
D. Increase storage size on the existing instance and implement client-side caching for frequently accessed data.

Answer: B

Explanation:
By deploying one or more read replicas, you can offload read-heavy queries from the primary and keep it focused on writes, smoothing out load spikes without interrupting service. Enabling automatic failover and regularly testing it ensures that if the primary does fail or needs maintenance, your application continues running with minimal downtime.

NEW QUESTION # 183
Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

A. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
B. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.
C. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.
D. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.

Answer: B

NEW QUESTION # 184
......

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