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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q75-Q80):

NEW QUESTION # 75
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 one manual backup per day, and turn off transaction log retention.
B. Turn on automated backup, and turn on transaction log retention.
C. Take no backups, and turn off transaction log retention.
D. Turn on automated backup, and turn off transaction log retention.

Answer: D

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

NEW QUESTION # 76
You are migrating an on-premises online transactional process (OLTP) PostgreSQL database to Google Cloud. You want to reduce the administrative overhead on database maintenance activities, such as vacuum and memory tuning. You are also planning to introduce analytic use cases in this database. You need the migration to have minimal schema and application changes.
What should you do-

A. Use Spanner with PGAdapter.
B. Use Cloud SQL for PostgreSQL.
C. Deploy a self-managed PostgreSQL database on Compute Engine.
D. Use AlloyDB for PostgreSQL.

Answer: D

Explanation:
AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible service that automates chores like vacuuming and memory tuning while still supporting standard Postgres schemas and drivers. Its built-in analytics acceleration (columnar storage and vectorized execution engines) lets you run OLAP queries alongside your OLTP workload with minimal changes to your existing applications.

NEW QUESTION # 77
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage.
What should you do?

A. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
B. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.
C. Create one regional Cloud SQL instance with a read replica in another region.
D. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.

Answer: A

Explanation:
This answer is correct because it meets the requirements of having an optimal and highly available environment with automatic failover. According to the Google Cloud documentation1, a regional Cloud SQL instance is an instance that has a primary server in one zone and a standby server in another zone within the same region. The primary and standby servers are kept in sync using synchronous replication, which ensures zero data loss and minimal downtime in case of a zonal outage or an instance failure. If the primary server becomes unavailable, Cloud SQL automatically fails over to the standby server, which becomes the new primary server1.

NEW QUESTION # 78
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 Error Reporting to count, analyze, and aggregate the data.
C. Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.
D. Use Cloud Debugger to inspect the state of an application.

Answer: C

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 # 79
You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?

A. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.
B. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
C. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
D. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and
1AM, and deny maintenance periods between November 1 and January 15.

Answer: C

Explanation:
Deny maintenance period. A block of days in which Cloud SQL does not schedule maintenance.
Deny maintenance periods can be up to 90 days long.
https://cloud.google.com/sql/docs/mysql/maintenance

NEW QUESTION # 80
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