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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q68-Q73):

NEW QUESTION # 68
Your company wants you to migrate their Oracle, MySQL, Microsoft SQL Server, and PostgreSQL relational databases to Google Cloud. You need a fully managed, flexible database solution when possible. What should you do?

A. Migrate the MySQL, Microsoft SQL Server, and PostgreSQL databases to Cloud SQL, and migrate the Oracle databases to Bare Metal Solution for Oracle.
B. Migrate the Oracle, MySQL, and Microsoft SQL Server databases to Cloud SQL, and migrate the PostgreSQL databases to Compute Engine.
C. Migrate all the databases to Cloud SQL.
D. Migrate the MySQL, Microsoft SQL Server, and PostgreSQL databases to Compute Engine, and migrate the Oracle databases to Bare Metal Solution for Oracle.

Answer: B

NEW QUESTION # 69
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

A. Use linear scaling to implement the Autoscaler-based architecture
B. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
C. Use direct scaling to implement the Autoscaler-based architecture.
D. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.

Answer: B

NEW QUESTION # 70
You have a Cloud SQL for MySQL Enterprise instance with four read replicas. Your next scheduled maintenance event is scheduled tomorrow at 6-PM. Your security team identifies an important security vulnerability. You are notified by your management at 8-PM today to update your primary instance and all four read replicas during approved business downtime today at 11- PM. What should you do-

A. Reschedule the upcoming scheduled maintenance to happen today at 11-PM.
B. Perform self-service maintenance on the selected read replicas.
C. Reschedule the upcoming scheduled maintenance of the primary instance to apply updates immediately.
D. Perform self-service maintenance on the primary instance during scheduled business downtime.

Answer: D

Explanation:
Cloud-SQL's self-service maintenance feature lets you manually apply updates on demand-so you can patch the primary instance at 11-PM during your approved downtime rather than waiting for tomorrow's window. Once the primary is updated and rebooted, you then repeat self-service maintenance on each read replica. This approach addresses the security vulnerability immediately while still operating within the agreed downtime.

NEW QUESTION # 71
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do?

A. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
Schedule downtime to run each Cloud Data Fusion pipeline.
Verify that the migration was successful.
Re-point the applications to the Cloud SQL for MySQL instance.
B. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in compressed format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
C. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance.
D. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in CSV format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.

Answer: A

NEW QUESTION # 72
You are migrating critical production database from Amazon RDS for MySQL to Cloud SQL for MYSQL by using Google Cloud's Migration Service.
You want to keep disruption to your production database to minimum and, at the same time, optimize migration performance. What should you do?

A. Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.
B. Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.
C. Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.
D. Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.

Answer: B

NEW QUESTION # 73
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