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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q103-Q108):

NEW QUESTION # 103
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?

A. Use the default app profile with multi-cluster routing.
B. Create a custom app profile with single-cluster routing.
C. Create a custom app profile with multi-cluster routing.
D. Use the default app profile with single-cluster routing.

Answer: C

Explanation:
https://cloud.google.com/bigtable/docs/app-profiles#default-app-profile

NEW QUESTION # 104
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
B. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
C. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
D. Restore the Cloud SQL instance from the automatic backups in region 3.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 105
You are managing a small Cloud SQL instance for developers to do testing. The instance is not critical and has a recovery point objective (RPO) of several days. You want to minimize ongoing costs for this instance. What should you do?

A. Take no backups, and turn off transaction log retention.
B. Turn on automated backup, and turn on transaction log retention.
C. Turn on automated backup, and turn off transaction log retention.
D. Take one manual backup per day, and turn off transaction log retention.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/backup-recovery/backups

NEW QUESTION # 106
Your organization works with sensitive data that requires you to manage your own encryption keys. You are working on a project that stores that data in a Cloud SQL database. You need to ensure that stored data is encrypted with your keys. What should you do?

A. Use customer-managed encryption keys with Cloud SQL.
B. Export data periodically to a Cloud Storage bucket protected by Customer-Supplied Encryption Keys.
C. Use Cloud SQL Auth proxy.
D. Connect to Cloud SQL using a connection that has SSL encryption.

Answer: A

NEW QUESTION # 107
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

A. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
B. Recommend solid-state drives (SSD).
C. Recommend mixed storage types.
D. Recommend hard disk drives (HDD).

Answer: A

NEW QUESTION # 108
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