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

Section	Objectives
Topic 1: Design scalable and highly available database solutions	- Design for high availability and disaster recovery 1. Replication strategies and failover design 2. Regional vs multi-regional architectures - Select appropriate database services (relational, NoSQL, analytical) 1. Bigtable use cases and schema design 2. Firestore and document database patterns 3. Cloud SQL vs AlloyDB vs Spanner selection criteria
Topic 2: Ensure reliability, performance, and optimization	- Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services - Security and compliance 1. IAM roles and access control 2. Encryption at rest and in transit
Topic 3: Migrate data solutions to Google Cloud	- Database migration strategies 1. Lift-and-shift vs re-platforming 2. Online vs offline migration tools (e.g., Database Migration Service)
Topic 4: Manage a database solution spanning multiple systems	- Operational database management 1. Backup and restore strategies 2. Capacity planning and scaling 3. Monitoring and performance tuning

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q115-Q120):

NEW QUESTION # 115
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

A. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance.
B. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.
C. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance.
D. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configure https://cloud.google.com/sql/docs/mysql/connect-run#connection-pools

NEW QUESTION # 116
Your organization is running a Firestore-backed Firebase app that serves the same top ten news stories on a daily basis to a large global audience. You want to optimize content delivery while decreasing cost and latency. What should you do?

A. Enable serializable isolation in the Firebase app.
B. Deploy a US multi-region Firestore location.
C. Create a Firestore index on the news story date.
D. Build a Firestore bundle, and deploy bundles to Cloud CDN.

Answer: D

NEW QUESTION # 117
You have several on-premises Percona Server for MySQL 8.0 instances used for mission-critical applications. The workload is read-heavy with 80%+ reads and each instance has several TBs of data. You want to migrate to Google Cloud with minimal downtime and the fewest changes possible.
What should you do-

A. Use the spanner-migration-tool to migrate to Spanner.
B. Use Database Migration Service to migrate to Alloy DB.
C. Use Database Migration Service to migrate to Cloud SQL Enterprise Plus.
D. Use Datastream to migrate to Cloud SQL Enterprise

Answer: C

Explanation:
Since the source is Percona Server for MySQL 8.0, the closest managed equivalent in Google Cloud is Cloud SQL for MySQL. To ensure high performance and reliability for a mission-critical, read-heavy workload with multi-TB data, the correct choice is Cloud SQL Enterprise Plus edition, which offers advanced scalability, performance, and availability features. Using Database Migration Service (DMS) provides a minimal-downtime migration path with the fewest application changes.

NEW QUESTION # 118
Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least privilege (PoLP) are critical. The operations team consists of:
Person A is a database administrator.
Person B is an analyst who generates metric reports.
Application C is responsible for automatic backups.
You need to assign roles to team members for Cloud Spanner. Which roles should you assign?

A. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner databaseReader for Application C
B. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner.backupWriter for Application C
C. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupWriter for Application C
D. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupAdmin for Application C

Answer: C

Explanation:
https://cloud.google.com/spanner/docs/iam#spanner.backupWriter

NEW QUESTION # 119
You are the Cloud Database Engineer for a retail analytics startup that runs a production Cloud SQL for MySQL instance supporting a product search API. Over the last 72 hours the average query latency during busy periods rose from about 90 ms to roughly 260 ms while CPU and memory metrics remain stable. You need a single step that most directly improves query execution without changing application code. What should you do?

A. Add more read replicas to the Cloud SQL instance
B. Review the slow query log and create or refine indexes for the worst performing queries
C. Convert tables from InnoDB to MyISAM
D. Scale the Cloud SQL instance to a larger machine type with more vCPU and memory

Answer: B

Explanation:
This approach targets the root cause of rising latency when CPU and memory are stable. The slow query log reveals statements that take the longest time so you can focus on the highest impact fixes. Adding or improving indexes gives the optimizer better access paths and can eliminate full scans and sorts which reduces latency without any application changes. You can validate improvements with EXPLAIN and by measuring new runtimes after index changes.

NEW QUESTION # 120
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