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

Section	Weight	Objectives
Topic 1: Manage a solution that spans multiple database technologies	25%	- Configure monitoring and troubleshooting 1. Query optimization 2. Troubleshoot common issues 3. Performance monitoring - Optimize cost and performance 1. Automate operational tasks 2. Cost optimization 3. Scaling strategies - Determine connectivity and access management 1. User authentication and authorization 2. IAM policies and permissions - Manage database operations and maintenance 1. Index management 2. Data lifecycle management 3. Updates and upgrades
Topic 2: Migrate data solutions	14%	- Implement migration and replication 1. Data replication methods 2. Schema conversion 3. Migration tool selection - Validate and cut over migration 1. Cutover procedures 2. Data integrity verification - Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning
Topic 3: Deploy scalable and highly available databases in Google Cloud	20%	- Configure monitoring and alerting 1. Performance dashboards 2. Health checks and alerts - Implement high availability solutions 1. Provision HA configurations 2. Multi-region replication 3. Read replicas deployment - Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code
Topic 4: Design innovative, scalable, and highly available cloud database solutions	32%	- Design for high availability and reliability 1. Replication strategies 2. Disaster recovery planning 3. High availability configurations - Analyze variables for capacity and usage planning 1. Size compute and storage resources 2. Evaluate performance and cost tradeoffs 3. Solution sizing based on workload and requirements - Design for backup and recovery 1. RTO and RPO design 2. Backup strategies 3. Data import/export planning - Design for security and compliance 1. Access control and IAM 2. Data encryption 3. Compliance requirements

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q139-Q144):

NEW QUESTION # 139
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google- recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible.
What should you do?

A. For each application code, set up a dedicated user account.
B. For each application code, set up a common shared user account.
C. For the application server, set up a common shared user account.
D. For the application server, set up a service account.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account

NEW QUESTION # 140
Your application follows a microservices architecture and uses a single large Cloud SQL instance, which is starting to have performance issues as your application grows. in the Cloud Monitoring dashboard, the CPU utilization looks normal You want to follow Google-recommended practices to resolve and prevent these performance issues while avoiding any major refactoring. What should you do?

A. Increase the storage size for the instance.
B. Increase the number of CPUs for your instance.
C. Use many smaller Cloud SQL instances.
D. Use Cloud Spanner instead of Cloud SQL.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/best-practices#data-arch

NEW QUESTION # 141
Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do-

A. Create a Spanner instance across regions for optimal performance.
B. Create a Cloud SQL instance in HA mode with a cross-region read replica.
C. Implement Bigtable with replication across multiple regions and configure to prioritize data accuracy.
D. Create an AlloyDB instance in HA mode with a cross-region read replica.

Answer: A

Explanation:
Cloud-Spanner is the only Google-native database that natively gives you global multi-region deployments with strong (external) consistency, automatic sharding for horizontal scale, built-in high-availability and zero-downtime schema changes, all with a single managed instance. This perfectly matches your low-latency, strong-consistency, zero-downtime, HA requirements at global scale.

NEW QUESTION # 142
Your online delivery business that primarily serves retail customers uses Cloud SQL for MySQL for its inventory and scheduling application. The required recovery time objective (RTO) and recovery point objective (RPO) must be in minutes rather than hours as a part of your high availability and disaster recovery design. You need a high availability configuration that can recover without data loss during a zonal or a regional failure. What should you do?

A. Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication.
B. Set up all read replicas in a different region using asynchronous replication.
C. Set up all read replicas in the same region as the primary instance with synchronous replication.
D. Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication.

Answer: D

Explanation:
This answer meets the RTO and RPO requirements by using synchronous replication within the same region, which ensures that all writes made to the primary instance are replicated to disks in both zones before a transaction is reported as committed1. This minimizes data loss and downtime in case of a zonal or an instance failure, and allows for a quick failover to the standby instance1.
This answer also meets the high availability and disaster recovery requirements by using asynchronous replication across different regions, which ensures that the data changes made to the primary instance are replicated to the read replicas in other regions with minimal delay2. This provides additional redundancy and backup in case of a regional failure, and allows for a manual failover to the read replica in another region2.

NEW QUESTION # 143
You are designing an augmented reality game for iOS and Android devices. You plan to use Cloud Spanner as the primary backend database for game state storage and player authentication. You want to track in-game rewards that players unlock at every stage of the game. During the testing phase, you discovered that costs are much higher than anticipated, but the query response times are within the SLA. You want to follow Google-recommended practices.
You need the database to be performant and highly available while you keep costs low. What should you do?

A. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
B. Use granular instance sizing in Cloud Spanner and Autoscaler.
C. Manually scale down the number of nodes after the peak period has passed.
D. Use interleaving to co-locate parent and child rows.

Answer: B

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

NEW QUESTION # 144
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