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

Section	Weight	Objectives
Topic 1: Design innovative, scalable, and highly available cloud database solutions	32%	- Analyze variables for capacity and usage planning 1. Size compute and storage resources 2. Solution sizing based on workload and requirements 3. Evaluate performance and cost tradeoffs - Design for high availability and reliability 1. High availability configurations 2. Disaster recovery planning 3. Replication strategies - Design for security and compliance 1. Data encryption 2. Compliance requirements 3. Access control and IAM - Design for backup and recovery 1. Backup strategies 2. RTO and RPO design 3. Data import/export planning
Topic 2: Migrate data solutions	14%	- Implement migration and replication 1. Schema conversion 2. Migration tool selection 3. Data replication methods - Validate and cut over migration 1. Data integrity verification 2. Cutover procedures - Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning
Topic 3: Manage a solution that spans multiple database technologies	25%	- Optimize cost and performance 1. Automate operational tasks 2. Cost optimization 3. Scaling strategies - Configure monitoring and troubleshooting 1. Troubleshoot common issues 2. Performance monitoring 3. Query optimization - Manage database operations and maintenance 1. Data lifecycle management 2. Index management 3. Updates and upgrades - Determine connectivity and access management 1. User authentication and authorization 2. IAM policies and permissions
Topic 4: Deploy scalable and highly available databases in Google Cloud	20%	- Implement high availability solutions 1. Provision HA configurations 2. Multi-region replication 3. Read replicas deployment - Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code - Configure monitoring and alerting 1. Health checks and alerts 2. Performance dashboards

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q169-Q174):

NEW QUESTION # 169
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections. You checked memory and CPU usage, and sufficient resources are available. You want to follow Google-recommended practices to ensure that the import will not time out. What should you do?

A. Ensure that the service account has the Storage Admin role.
B. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
C. Increase the amount of memory allocated to your instance.
D. Close idle connections or restart the instance before beginning the import operation.

Answer: A

NEW QUESTION # 170
You are migrating your 10 TB on-premises PostgreSQL database to Cloud SQL for PostgreSQL by using Database Migration Service. During the migration, there will be schema changes in the source database. You need to ensure any schema changes are replicated, while keeping disruption to the ongoing migration to a minimum.
What should you do?

A. Make the schema changes in the destination by using the
pglogical.replicate_ddl_commandPostgreSQL extension.
B. Make the schema changes in both source and destination after stopping writes in source.
C. Make the schema changes in the source by using the pglogical.replicate_ddl_command PostgreSQL extension.
D. Stop the Database Migration Service migration job. Make the schema changes in the source.Restart the Database Migration Service migration job.

Answer: C

Explanation:
To keep disruption minimal while ensuring schema changes are replicated during an ongoing Database Migration Service (DMS) continuous migration for PostgreSQL, you should apply schema changes on the source using the pglogical.replicate_ddl_command extension so the DDL is propagated through logical replication to the destination automatically.

NEW QUESTION # 171
You are running a mission-critical application on a Cloud SQL for PostgreSQL database with a multi-zonal setup. The primary and read replica instances are in the same region but in different zones. You need to ensure that you split the application load between both instances. What should you do?

A. Use PgBouncer to set up database connection pooling between the Cloud SQL primary and read replica instances.
B. Use HTTP(S) Load Balancing for database connection pooling between the Cloud SQL primary and read replica instances.
C. Use the Cloud SQL Auth proxy for database connection pooling between the Cloud SQL primary and read replica instances.
D. Use Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.

Answer: D

NEW QUESTION # 172
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. Configure single zone availability for automated backups.
B. Schedule automated backups.
C. Set up manual backups.
D. Enable point-in-time recovery.
E. Create a PostgreSQL database on-premises as the HA option.

Answer: B,D

Explanation:
https://cloud.google.com/sql/docs/mysql/high-availability#backups-and-restores

NEW QUESTION # 173
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

A. Recommend mixed storage types.
B. Recommend hard disk drives (HDD).
C. Recommend solid-state drives (SSD).
D. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.

Answer: C

Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.

NEW QUESTION # 174
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