Professional-Cloud-Database-Engineer Lab Questions - Professional-Cloud-Database-Engineer Exam Answers

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Google Cloud Certified - Professional Cloud Database Engineer (Professional-Cloud-Database-Engineer) questions is a comprehensive solution for Professional-Cloud-Database-Engineer exam preparation, offering a wide range of features designed to help you succeed. The Google exam is an essential milestone to achieve the Professional-Cloud-Database-Engineer Certification. With Professional-Cloud-Database-Engineer exam dumps, you'll have access to Google Professional-Cloud-Database-Engineer actual questions that are enough to crack the Professional-Cloud-Database-Engineer exam in a short time.

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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q160-Q165):

NEW QUESTION # 160
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. 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.
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. 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.
D. 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.

Answer: D

NEW QUESTION # 161
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 hard disk drives (HDD).
B. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
C. Recommend mixed storage types.
D. Recommend solid-state drives (SSD).

Answer: D

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 # 162
You are migrating an on-premises application to Compute Engine and Cloud SQL. The application VMs will live in their own project, separate from the Cloud SQL instances which have their own project. What should you do to configure the networks?

A. Create a Shared VPC that both the application VMs and Cloud SQL instances will use.
B. Use the default networks, and leverage Cloud VPN to connect the two together.
C. Create a new VPC network in each project, and use VPC Network Peering to connect the two together.
D. Place both the application VMs and the Cloud SQL instances in the default network of each project.

Answer: A

Explanation:
https://groups.google.com/g/google-cloud-sql-discuss/c/M5G5_HPXytY?pli=1

NEW QUESTION # 163
You are migrating your critical production database from Amazon RDS for MySQL to Cloud SQL for MySQL by using Google Cloud's Database Migration Service. You want to keep disruption to your production database to a minimum and, at the same time, optimize migration performance.
What should you do-

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

Answer: C

Explanation:
By pointing your single Database Migration Service job at an Amazon-RDS read replica and cranking initial-load parallelism to its maximum, you offload heavy full-load reads from production and ingest data faster into Cloud-SQL. This approach minimizes impact on your live primary instance while maximizing throughput during the initial load.

NEW QUESTION # 164
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 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.
B. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
C. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
D. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.

Answer: B

NEW QUESTION # 165
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