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| Section | Weight | Objectives |
|---|
| Topic 1: Migrate data solutions | 14% | - Validate and cut over migration
- 1. Cutover procedures
- 2. Data integrity verification
- Implement migration and replication
- 1. Schema conversion
- 2. Migration tool selection
- 3. Data replication methods
- Design migration strategies
- 1. Downtime requirements analysis
- 2. Fall-back planning
|
| Topic 2: Deploy scalable and highly available databases in Google Cloud | 20% | - Configure monitoring and alerting
- 1. Health checks and alerts
- 2. Performance dashboards
- Implement high availability solutions
- 1. Read replicas deployment
- 2. Multi-region replication
- 3. Provision HA configurations
- Automate deployment and scaling
- 1. Infrastructure as Code
- 2. Auto-scaling setup
|
| Topic 3: Manage a solution that spans multiple database technologies | 25% | - Optimize cost and performance
- 1. Scaling strategies
- 2. Cost optimization
- 3. Automate operational tasks
- 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
|
| Topic 4: Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for security and compliance
- 1. Data encryption
- 2. Access control and IAM
- 3. Compliance requirements
- Design for backup and recovery
- 1. Backup strategies
- 2. Data import/export planning
- 3. RTO and RPO design
- Analyze variables for capacity and usage planning
- 1. Evaluate performance and cost tradeoffs
- 2. Solution sizing based on workload and requirements
- 3. Size compute and storage resources
- Design for high availability and reliability
- 1. High availability configurations
- 2. Replication strategies
- 3. Disaster recovery planning
|
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Google Professional-Cloud-Database-Engineer Test Answers & Vce Professional-Cloud-Database-Engineer Torrent
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q112-Q117):
NEW QUESTION # 112
You are a DBA on a Cloud Spanner instance with multiple databases. You need to assign these privileges to all members of the application development team on a specific database:
Can read tables, views, and DDL
Can write rows to the tables
Can add columns and indexes
Cannot drop the database
What should you do?
- A. Assign the Cloud Spanner Database Admin role.
- B. Assign the Cloud Spanner Admin role.
- C. Assign the Cloud Spanner Database Reader and Cloud Spanner Backup Writer roles.
- D. Assign the Cloud Spanner Database User role.
Answer: D
NEW QUESTION # 113
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud.
Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?
- A. Configure the primary, standby, and read replica instances in zone A, all in the same region.
- B. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
- C. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
- D. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
Answer: C
Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview
NEW QUESTION # 114
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?
- A. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
- B. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.
- C. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.
- D. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.
Answer: D
Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectors https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md
NEW QUESTION # 115
Your ecommerce application connecting to your Cloud SQL for SQL Server is expected to have additional traffic due to the holiday weekend. You want to follow Google-recommended practices to set up alerts for CPU and memory metrics so you can be notified by text message at the first sign of potential issues. What should you do?
- A. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
- B. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
- C. Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub.
- D. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
Answer: D
NEW QUESTION # 116
You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?
- A. Use Cloud Composer to execute a select * from table(s) query and export results.
- B. Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.
- C. Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.
- D. Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.
Answer: D
NEW QUESTION # 117
......
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