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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
Optimizing database performance	- Improve database efficiency 1. Optimize storage and compute resources 2. Tune queries and indexes 3. Troubleshoot performance bottlenecks
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
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
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Configure IAM and access controls 2. Enable encryption and auditing 3. Ensure compliance and governance

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q192-Q197):

NEW QUESTION # 192
You are a DBA on a Cloud Spanner instance with multiple databases. You need to assign these privileges to all members of the application development team on a specific database:
Can read tables, views, and DDL
Can write rows to the tables
Can add columns and indexes
Cannot drop the database
What should you do?

A. Assign the Cloud Spanner Database Admin role.
B. Assign the Cloud Spanner Admin role.
C. Assign the Cloud Spanner Database Reader and Cloud Spanner Backup Writer roles.
D. Assign the Cloud Spanner Database User role.

Answer: D

NEW QUESTION # 193
You are configuring a new application that has access to an existing Cloud Spanner database.
The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

A. Create a new service account, and grant it the Cloud Spanner Database Reader role.
B. Reuse the existing service account that populates this database.
C. Create a new service account, and grant it the spanner.databases.select permission.
D. Create a new service account, and grant it the Cloud Spanner Database Admin role.

Answer: A

Explanation:
spanner.database.select is not enough, you also need a spanner.database.read which is included in Cloud Spanner Database Reader role.

NEW QUESTION # 194
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. 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

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 # 195
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do? (Choose two.)

A. If the corruption is insignificant, perform a stale read and specify a recovery timestamp. Write the results back.
B. If the corruption is insignificant, use backup and restore, and specify a recovery timestamp.
C. If the corruption is significant, use backup and restore, and specify a recovery timestamp.
D. If the corruption is significant, use import and export.
E. If the corruption is significant, perform a stale read and specify a recovery timestamp. Write the results back.

Answer: A,E

NEW QUESTION # 196
Your rapidly growing ecommerce company is migrating their analytics workloads to AlloyDB for PostgreSQL. You anticipate a significant increase in reporting queries as the business scales.
You need a read pool strategy to scale your analytics operations in anticipation of future growth while minimizing costs. What should you do-

A. Change the instance sizes of the read nodes in the read pool.
B. Direct all complex, long-running analytics queries to the primary instance, and only use read pools for short, frequent reports.
C. Begin with minimal read pools and iteratively expand or shrink them based on real-time load monitoring to optimize resource allocation.
D. Assign all reporting queries to a single, large read pool to maximize the combined compute resources available for analytics.

Answer: C

Explanation:
Start with a small read-pool footprint and then scale it up or down as your query volume and performance needs evolve.
* Cost-efficient: You only pay for the read nodes you actually need at any given time, avoiding over-provisioning.
* Elastic scaling: Monitor your query latency and throughput, then add or remove read nodes to match the workload profile (e.g. heavy sales events vs. normal traffic).
* Minimal ops overhead: AlloyDB makes it simple to resize your read pool via the console or gcloud, so you can automate based on Cloud Monitoring alerts.

NEW QUESTION # 197
......

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