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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q166-Q171):

NEW QUESTION # 166
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?

A. Build indexes on heavily accessed tables.
B. Remove inactive user accounts.
C. Run the Recommender API to identify overprovisioned instances.
D. Use Query Insights to identify idle instances.

Answer: C

NEW QUESTION # 167
Your organization is currently updating an existing corporate application that is running in another public cloud to access managed database services in Google Cloud. The application will remain in the other public cloud while the database is migrated to Google Cloud. You want to follow Google-recommended practices for authentication. You need to minimize user disruption during the migration. What should you do?

A. Migrate the application to Google Cloud, and use Identity and Access Management (IAM).
B. Use workload identity federation to impersonate a service account.
C. Ask existing users to set their Google password to match their corporate password.
D. Use Google Workspace Password Sync to replicate passwords into Google Cloud.

Answer: B

Explanation:
https://cloud.google.com/iam/docs/workload-identity-federation

NEW QUESTION # 168
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

A. Use Bigtable for data storage.
B. Use Cloud Spanner for data storage.
C. Use Cloud SQL for data storage.
D. Use Memorystore for data storage.

Answer: C

NEW QUESTION # 169
You have a non-critical business application running on Google Kubernetes Engine (GKE) in the app-dev VPC. You have created an AllayDB cluster with private Service Access (PSA) and no public IP address in the db-dev VPC. You want your application to securely connect to AllowDB in a cost-effective way. What should you do?

A. Connect by using the private IP address of the AlloyDB cluster directly from the application.
B. Install a SOCKS proxy in a VM in the db-dev VPC. Install AlloyDB Auth Proxy in your GKE cluster, and connect to the AlloyDB cluster through the SOCKS server and port.
C. Set up a high availability VPN between the app-dev and db-dev VPCs. Connect the application directly to AlloyDB.
D. Connect by using AlloyDB Auth Proxy installed in the GKE cluster.

Answer: A

NEW QUESTION # 170
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database. Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us-central1 and the backup region of us-east1. What should you do?

A. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-west1-b.
Create a read replica in us-east1-c.
B. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east1-b.
Create a read replica in us-central1-b.
C. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-central1-b.
Create a read replica in us-east1-b.
D. Provision a Cloud SQL for MySQL instance in us-central1-a.
Create a multiple-zone instance in us-east-b.
Create a read replica in us-east1-c.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/sqlserver/intro-to-cloud-sql-disaster-recovery

NEW QUESTION # 171
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