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| Section | Weight | Objectives |
|---|
| Topic 1: Deploy scalable and highly available databases in Google Cloud | 20% | - Automate deployment and scaling
- 1. Auto-scaling setup
- 2. Infrastructure as Code
- Configure monitoring and alerting
- 1. Performance dashboards
- 2. Health checks and alerts
- Implement high availability solutions
- 1. Multi-region replication
- 2. Provision HA configurations
- 3. Read replicas deployment
|
| Topic 2: Design innovative, scalable, and highly available cloud database solutions | 32% | - Analyze variables for capacity and usage planning
- 1. Evaluate performance and cost tradeoffs
- 2. Size compute and storage resources
- 3. Solution sizing based on workload and requirements
- Design for security and compliance
- 1. Access control and IAM
- 2. Compliance requirements
- 3. Data encryption
- Design for backup and recovery
- 1. Backup strategies
- 2. Data import/export planning
- 3. RTO and RPO design
- Design for high availability and reliability
- 1. Replication strategies
- 2. Disaster recovery planning
- 3. High availability configurations
|
| Topic 3: Manage a solution that spans multiple database technologies | 25% | - Configure monitoring and troubleshooting
- 1. Troubleshoot common issues
- 2. Performance monitoring
- 3. Query optimization
- Manage database operations and maintenance
- 1. Index management
- 2. Data lifecycle management
- 3. Updates and upgrades
- Determine connectivity and access management
- 1. IAM policies and permissions
- 2. User authentication and authorization
- Optimize cost and performance
- 1. Scaling strategies
- 2. Cost optimization
- 3. Automate operational tasks
|
| Topic 4: 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
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q130-Q135):
NEW QUESTION # 130
Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)
- A. Create a PostgreSQL database on-premises as the HA option.
- B. Schedule automated backups.
- C. Enable point-in-time recovery.
- D. Set up manual backups.
- E. Configure single zone availability for automated backups.
Answer: B,C
Explanation:
D) Enable point-in-time recovery - This feature allows you to restore your database to a specific point in time. It helps protect against data loss and can be used in the event of data corruption or accidental data deletion. E. Schedule automated backups - Automated backups allow you to take regular backups of your database without manual intervention. You can use these backups to restore your database in the event of data loss or corruption.
NEW QUESTION # 131
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
NEW QUESTION # 132
You plan to use Database Migration Service to migrate data from a PostgreSQL on-premises instance to Cloud SQL. You need to identify the prerequisites for creating and automating the task. What should you do? (Choose two.)
- A. Disable all foreign key constraints on the source PostgreSQL database.
- B. Ensure that pglogical is installed on the source PostgreSQL database.
- C. Shut down the database before the Data Migration Service task is started.
- D. Ensure that all PostgreSQL tables have a primary key.
- E. Drop or disable all users except database administration users.
Answer: B,D
Explanation:
https://cloud.google.com/database-migration/docs/postgres/faq
NEW QUESTION # 133
Your organization's databases are running in Cloud SQL. Due to data residency regulations, your organization mandates that backups are stored in a specific region. You are also required to make sure that the databases have monthly full backups, which are retained until your Cloud SQL instance is deleted, along with daily backups. What should you do-
- A. Schedule daily and monthly on-demand backups.
- B. Create an Organization Policy Service resource location constraint. Schedule automated backups with the retention period of 30-days.
- C. Schedule automated backups for Cloud SQL with a retention period of 365-days.
- D. Schedule automated backups, and create on-demand monthly backups to custom backup locations.
Answer: D
Explanation:
Use Cloud SQL's built-in automated backups for your daily recovery window, and supplement them with on-demand (manual) full backups each month. Store those monthly backups in a customer-managed Cloud Storage bucket that you place in your required region - this satisfies the residency rule and keeps them until you explicitly delete the instance (on-demand backups aren't auto-purged). Automated backups handle the daily retention, and your manual monthly snapshots live as long as you need.
NEW QUESTION # 134
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?
- A. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance. - B. Create migration job using Database Migration Service.
Set the migration job type to One-time, and perform this migration during a maintenance window.
Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
Update your application connections to the new instance. - C. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
Continue to dump each database until all the databases are migrated.
Update your application connections to the new instance. - D. Create migration job using Database Migration Service.
Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
Update your application connections to the new instance.
Answer: D
Explanation:
https://cloud.google.com/datastream/docs/overview.
NEW QUESTION # 135
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