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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q178-Q183):

NEW QUESTION # 178
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

A. Use Memorystore for Memcached.
B. Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.
C. Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.
D. Use Firestore and ensure that the PersistenceEnabled option is set to true.

Answer: D

Explanation:
https://firebase.google.com/docs/firestore/manage-data/enable-offline

NEW QUESTION # 179
You are managing a set of Cloud SQL databases in Google Cloud. Regulations require that database backups reside in the region where the database is created. You want to minimize operational costs and administrative effort. What should you do?

A. Configure the automated backups to use a regional Cloud Storage bucket as a custom location.
B. Disable automated backups, and create an on-demand backup routine to a regional Cloud Storage bucket.
C. Use the default configuration for the automated backups location.
D. Disable automated backups, and configure serverless exports to a regional Cloud Storage bucket.

Answer: B

NEW QUESTION # 180
You run a toy sales ecommerce application on Spanner. The application contains details about the various product listings such as name, category, description, and review(s). Your leadership wants to enable customers to ask free-form questions about the product catalog. You want to implement this functionality in the easiest, quickest, and least expensive way possible.
What should you do?

A. Create, train and deploy a custom ML model(s). Fetch toy details from Spanner and invoke ML predictions from the application layer to return the response.
B. Create a Spanner full-text search index. Find the product information or review against the user's question in a SQL query. Return the response back to the application.
C. Generate vector embeddings for product information in Spanner. Find the vector with the smallest distance between the users' query and existing product information or review by using the EUCLIDEAN_DISTANCE()function in Spanner. Return the closest product information or review.
D. Register an existing Generative AI Vertex model in Spanner. Use the ML.PREDICTfunction to supply the model with a user query along with the product information in a SQL query. Return the response back to the application.

Answer: D

Explanation:
Registering an existing Vertex AI generative model in Spanner and calling it with ML.PREDICT lets you implement free-form Q&A directly from SQL without building custom ML pipelines, generating/maintaining embeddings, or deploying your own model - making it the quickest and lowest-effort approach while keeping the solution cost-effective by reusing a managed model.

NEW QUESTION # 181
You are designing a database strategy for a new web application. You plan to start with a small pilot in one country and eventually expand to millions of users in a global audience. You need to ensure that the application can run 24/7 with minimal downtime for maintenance. What should you do?

A. Use Cloud SQL with cross-region replicas.
B. Use Cloud Spanner in a multi-region configuration.
C. Use Cloud Spanner in a regional configuration.
D. Use highly available Cloud SQL with multiple zones.

Answer: C

Explanation:
https://cloud.google.com/spanner/docs/move-instance
https://cloud.google.com/spanner/docs/move-instance#how-instance-move

NEW QUESTION # 182
Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7. You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

A. Use the mysqldump utility on the primary database instance to export the backup.
B. Clone the Cloud SQL instance, and then use the mysqldump utlity to export the data.
C. Use Cloud SQL serverless exports.
D. Create a read replica, and then use the mysqldump utility to export each table.

Answer: C

Explanation:
https://cloud.google.com/blog/products/databases/introducing-cloud-sql-serverless-exports

NEW QUESTION # 183
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