Professional-Cloud-Database-Engineer勉強方法 & Professional-Cloud-Database-Engineer日本語認定

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

Section	Objectives
Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Configure backups and recovery 3. Manage maintenance and upgrades
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Use Database Migration Service 3. Validate migrated workloads
Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Optimize storage and compute resources 3. Troubleshoot performance bottlenecks
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Plan scalability and availability strategies 2. Design globally distributed architectures 3. Choose relational and non-relational databases
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Enable encryption and auditing 2. Ensure compliance and governance 3. Configure IAM and access controls

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Professional-Cloud-Database-Engineer日本語認定 & Professional-Cloud-Database-Engineerトレーニング資料

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Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q116-Q121):

質問 # 116
You are designing the backup and recovery strategy of a Cloud SQL for MySQL database that serves a write heavy application. You need to be able to restore the database to any point in time within the past five days while minimizing the performance impact of database backups. What should you do-

A. Schedule hourly on-demand backups and enable point in time recovery. Delete any delete backups that were taken over five days ago.
B. Schedule a database export job to run every hour from a read replica instance. Retain the export dumps for at least five days.
C. Schedule a database export job to run every hour. Use serverless export. Retain the export dumps for at least five days.
D. Enable automatic backup and point in time recovery. Configure the backup window during periods of low database traffic. Set backup and transaction log retention to at least five days.

正解：D

解説：
Enabling automated backups with point-in-time recovery lets Cloud-SQL capture full backups plus binary logs so you can restore to any second in the last five days. Scheduling the daily snapshot during off-peak hours keeps backup I/O from impacting your write-heavy workload, and setting both backup and log retention to five days meets your recovery window.

質問 # 117
You are using Compute Engine on Google Cloud and your data center to manage a set of MySQL databases in a hybrid configuration. You need to create replicas to scale reads and to offload part of the management operation. What should you do?

A. Use the mysqldump utility and binary logs.
B. Use Data Migration Service.
C. Use external server replication.
D. Use Cloud SQL for MySQL external replica.

正解：D

解説：
https://cloud.google.com/sql/docs/mysql/replication/external-server

質問 # 118
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?

A. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
B. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
C. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
D. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use

正解：B

解説：
If you are using ext4, use the resize2fs command to extend the file system.
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions

質問 # 119
You are managing a set of Cloud SQL databases in Google Cloud. Regulations require that database backups reside in the region where the database is created. You want to minimize operational costs and administrative effort. What should you do?

A. Disable automated backups, and configure serverless exports to a regional Cloud Storage bucket.
B. Use the default configuration for the automated backups location.
C. Disable automated backups, and create an on-demand backup routine to a regional Cloud Storage bucket.
D. Configure the automated backups to use a regional Cloud Storage bucket as a custom location.

正解：D

解説：
https://cloud.google.com/sql/docs/mysql/backup-recovery/backing-up#locationbackups You can use a custom location for on-demand and automatic backups. For a complete list of valid location values, see the Instance locations.

質問 # 120
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
B. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
C. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
D. Restore the Cloud SQL instance from the automatic backups in region 3.

正解：C

解説：
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

質問 # 121
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