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

Section	Weight	Objectives
Migrate data solutions	14%	- Validate and cut over migration 1. Cutover procedures 2. Data integrity verification - Design migration strategies 1. Fall-back planning 2. Downtime requirements analysis - Implement migration and replication 1. Schema conversion 2. Migration tool selection 3. Data replication methods
Deploy scalable and highly available databases in Google Cloud	20%	- Automate deployment and scaling 1. Infrastructure as Code 2. Auto-scaling setup - Configure monitoring and alerting 1. Performance dashboards 2. Health checks and alerts - 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. Updates and upgrades 2. Index management 3. Data lifecycle management - Determine connectivity and access management 1. IAM policies and permissions 2. User authentication and authorization - Optimize cost and performance 1. Cost optimization 2. Automate operational tasks 3. Scaling strategies - Configure monitoring and troubleshooting 1. Troubleshoot common issues 2. Performance monitoring 3. Query optimization
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. Size compute and storage resources 3. Evaluate performance and cost tradeoffs - Design for backup and recovery 1. RTO and RPO design 2. Backup strategies 3. Data import/export planning - Design for security and compliance 1. Data encryption 2. Compliance requirements 3. Access control and IAM - 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 (Q147-Q152):

NEW QUESTION # 147
You are deploying a Cloud SQL for MySQL database to serve a non-critical application. The database size is 10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read-only traffic from the application during the day. The data locality requirement of this application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do-

A. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Configure automated backups of the Cloud SQL instance and use a custom backup location to store backups in a Cloud Storage bucket in the same region.
B. Create a Cloud SQL for MySQL instance with high availability (HA) enabled. Configure automated backups of the Cloud SQL instance and use the default backup location.
C. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in the same zone.
D. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in a second region.

Answer: A

Explanation:
Chosen option is the best approach:
* Single-region data locality: By pointing your automated backups at a region-scoped Cloud- Storage bucket, you ensure all data (including backups) stays in-region.
* RTO ≤-1-day: Automated daily backups let you restore from the most recent snapshot within your 24-hour RTO window.
* Cost minimized: Disabling HA and not spinning up any replicas avoids the extra instance costs.
You pay only for one primary instance plus your small storage charges for ~10-GB of backups.
* Simplicity: Cloud-SQL's built-in automated backups require zero operational overhead beyond the one-time bucket configuration.

NEW QUESTION # 148
Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation. What should you do?

A. Use Logs Explorer to analyze log data.
B. Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.
C. Use Cloud Debugger to inspect the state of an application.
D. Use Error Reporting to count, analyze, and aggregate the data.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/diagnose-issues#:~:text=If%20your%20instance%20stops%
20responding%20to%20connections%20or%20performance%20is%20degraded%2C%20make%20sure%
20it%20conforms%20to%20the%20Operational%20Guidelines

NEW QUESTION # 149
You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions. You want to follow Google-recommended practices for the migration. What should you do?

A. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.
B. Take nightly snapshots of the primary database instance, and restore them in a secondary zone.
C. Create a read replica in another region, and promote the read replica if a failure occurs.
D. Enable high availability (HA) for the database to make it regional.

Answer: D

NEW QUESTION # 150
You work for a financial services company that wants to use fully managed database services.
Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

A. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
B. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.
C. Use linear scaling to implement the Autoscaler-based architecture
D. Use direct scaling to implement the Autoscaler-based architecture.

Answer: C

Explanation:
https://cloud.google.com/architecture/autoscaling-cloud-spanner#linear

NEW QUESTION # 151
You have a large Cloud SQL for PostgreSQL instance. The database instance is not mission-critical, and you want to minimize operational costs. What should you do to lower the cost of backups in this environment?

A. Set the automated backups to occur every other day to lower the frequency of backups.
B. Reduce the number of automated backups that are retained to two (2).
C. Change the storage tier of the automated backups from solid-state drive (SSD) to hard disk drive (HDD).
D. Select a different region to store your backups.

Answer: B

Explanation:
By default, for each instance, Cloud SQL retains seven automated backups, in addition to on-demand backups. You can configure how many automated backups to retain (from 1 to 365). We charge a lower rate for backup storage than for other types of instances. https://cloud.google.com/sql/docs/mysql/backup-recovery
/backups

NEW QUESTION # 152
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