Professional-Cloud-Database-Engineer Valid Test Topics | Professional-Cloud-Database-Engineer New Dumps Files

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

Section	Weight	Objectives
Topic 1: Design innovative, scalable, and highly available cloud database solutions	32%	- Analyze variables for capacity and usage planning 1. Size compute and storage resources 2. Solution sizing based on workload and requirements 3. Evaluate performance and cost tradeoffs - Design for security and compliance 1. Data encryption 2. Compliance requirements 3. Access control and IAM - Design for backup and recovery 1. RTO and RPO design 2. Data import/export planning 3. Backup strategies - Design for high availability and reliability 1. High availability configurations 2. Replication strategies 3. Disaster recovery planning
Topic 2: Migrate data solutions	14%	- Implement migration and replication 1. Data replication methods 2. Schema conversion 3. Migration tool selection - Validate and cut over migration 1. Cutover procedures 2. Data integrity verification - Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning
Topic 3: 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 - Manage database operations and maintenance 1. Data lifecycle management 2. Index management 3. Updates and upgrades - Configure monitoring and troubleshooting 1. Query optimization 2. Performance monitoring 3. Troubleshoot common issues
Topic 4: Deploy scalable and highly available databases in Google Cloud	20%	- Implement high availability solutions 1. Multi-region replication 2. Provision HA configurations 3. Read replicas deployment - Configure monitoring and alerting 1. Health checks and alerts 2. Performance dashboards - Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q199-Q204):

NEW QUESTION # 199
Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over.
What should you do? (Choose two.)

A. Use a cross-region read replica to migrate the databases to Cloud SQL.
B. Use Database Migration Service to migrate the databases to Cloud SQL.
C. Use replication from an external server to migrate the databases to Cloud SQL.
D. Use a read replica to migrate the databases to Cloud SQL.
E. Use an external read replica to migrate the databases to Cloud SQL.

Answer: B,C

Explanation:
https://cloud.google.com/sql/docs/mysql/replication/manage-replicas#basic-steps-to-change-parallel-replication-flags

NEW QUESTION # 200
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 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.
B. 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.
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 # 201
You are planning connectivity for a global retail analytics service that runs in multiple Google Cloud regions and must reach a Cloud Spanner database with very low latency, strong security, and high reliability. Which connection approach should the application adopt to satisfy these requirements?

A. Connect to a fixed public IP address on the Cloud Spanner instance and enable SSL
B. Access Cloud Spanner through the REST API from the app and add a cache layer to improve response time
C. Use the Cloud Spanner client libraries with a regional instance and enable connection pooling
D. Use the Cloud Spanner client libraries against a multi-region instance and configure connection pooling

Answer: D

Explanation:
A multi-region Cloud Spanner instance provides globally distributed replicas with strong consistency and very high availability, which aligns with the needs of a global application. The client libraries use efficient gRPC connections and integrate with IAM for strong authentication and authorization. Connection pooling minimizes session and channel creation overhead, which improves throughput and tail latency while increasing reliability through automatic retries and health checks.

NEW QUESTION # 202
Which connection method should applications use to connect to a regional Cloud Memorystore for Redis instance to keep 99th percentile latency under 4 milliseconds while minimizing operational overhead?

A. Use a regional load balancer in front of Redis
B. Use the Redis private IP in the same VPC and region
C. Private Service Connect

Answer: B

Explanation:
Connecting directly over the instance private address within the same network and region keeps the path short and predictable which helps keep the 99th percentile latency under four milliseconds. This direct approach has no extra proxies and no cross region hops and it also minimizes operational overhead because there is nothing to deploy or manage between your clients and the managed Redis endpoint.

NEW QUESTION # 203
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

A. Use Bigtable, and add nodes as necessary to achieve the required throughput.
B. Use Firestore, and rely on automatic serverless scaling.
C. Use Cloud SQL with read replicas for throughput.
D. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.

Answer: D

NEW QUESTION # 204
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