Google - Updated Professional-Cloud-Database-Engineer - Lab Google Cloud Certified - Professional Cloud Database Engineer Questions

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

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

>> Lab Professional-Cloud-Database-Engineer Questions <<

Examinations Professional-Cloud-Database-Engineer Actual Questions & Professional-Cloud-Database-Engineer Online Bootcamps

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q194-Q199):

NEW QUESTION # 194
You are building a point of sale (POS) application to deploy in your retail company's stores. The application needs to run on a mobile device, but with the ability to keep catalog, pricing, and product data current with frequent updates from a central location. The network at the stores may not be reliable, so the application must be able to run without connectivity. You want to minimize development time and costs.
What should you do?

A. Create a Firebase application with Firestore as the database.
B. Create a web application with Cloud Run and Cloud SQL.
C. Create a native solution using AlloyDB Omni in the mobile device and synchronizing with AlloyDB in Google Cloud.
D. Create a native solution, supporting Android and iOS, by using SQLite, and develop a synchronization API with a central AlloyDB database.

Answer: A

Explanation:
Firestore (via Firebase) provides built-in offline persistence and automatic synchronization when connectivity returns, which fits unreliable store networks and frequent central updates while minimizing custom sync development and overall cost/time.

NEW QUESTION # 195
You are migrating your 2 TB on-premises PostgreSQL cluster to Compute Engine. You want to set up your new environment in an Ubuntu virtual machine instance in Google Cloud and seed the data to a new instance. You need to plan your database migration to ensure minimum downtime. What should you do?

A. 1. Take a full export while the database is offline.
2. Create a bucket in Cloud Storage.
3. Transfer the dump file to the bucket you just created.
4. Import the dump file into the Google Cloud primary server.
B. 1. Take a full export while the database is offline.
2. Create a bucket in Cloud Storage.
3. Transfer the dump file to the bucket you just created.
4. Restore the backup into the Google Cloud primary server.
C. 1. Take a full export while the database is online.
2. Create a bucket in Cloud Storage.
3. Transfer the dump file and write-ahead logs to the bucket you just created.
4. Restore the dump file into the Google Cloud primary server.
5. Create a recovery.conf file in the $PG_DATA directory.
6. Stop the source database.
7. Transfer the write-ahead logs to the bucket you created before.
8. Start the PostgreSQL service.
9. Wait until the Google Cloud primary server syncs with the running primary server.
D. 1. Take a full backup while the database is online.
2. Create a bucket in Cloud Storage.
3. Transfer the backup to the bucket you just created.
4. Restore the backup into the Google Cloud primary server.
5. Create a recovery.conf file in the $PG_DATA directory.
6. Stop the source database.
7. Transfer the write ahead logs to the bucket you created before.
8. Start the PostgreSQL service.
9. Wait until Google Cloud primary server syncs with the running primary server.

Answer: D

Explanation:
https://cloud.google.com/architecture/migrating-postgresql-to-gcp

NEW QUESTION # 196
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

A. Normalize the database to the third normal form.
B. Create another schema to load older data.
C. Compress the data using a different compression algorithm.
D. Manually or automatically increase the storage capacity.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/using-ood-recommender#apply_recommendations

NEW QUESTION # 197
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?

A. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.
B. Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on-premises.
C. Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.
D. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.

Answer: C

Explanation:
https://www.actifio.com/solutions/cloud/google/

NEW QUESTION # 198
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this dat a. What should you do?

A. Use VPC Service Controls to create a trusted network for the Bigtable service.
B. Use customer-managed encryption keys (CMEK).
C. Use Google Cloud Armor to add IP addresses to an allowlist.
D. Use Identity and Access Management (IAM) for Bigtable access control.

Answer: A

NEW QUESTION # 199
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