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

Section	Weight	Objectives
Design innovative, scalable, and highly available cloud database solutions	32%	- 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 - Design for backup and recovery 1. Backup strategies 2. Data import/export planning 3. RTO and RPO design - Design for high availability and reliability 1. Replication strategies 2. High availability configurations 3. Disaster recovery planning - Design for security and compliance 1. Compliance requirements 2. Data encryption 3. Access control and IAM
Manage a solution that spans multiple database technologies	25%	- Determine connectivity and access management 1. IAM policies and permissions 2. User authentication and authorization - Optimize cost and performance 1. Automate operational tasks 2. Scaling strategies 3. Cost optimization - Configure monitoring and troubleshooting 1. Performance monitoring 2. Troubleshoot common issues 3. Query optimization - Manage database operations and maintenance 1. Updates and upgrades 2. Index management 3. Data lifecycle management
Migrate data solutions	14%	- Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning - Validate and cut over migration 1. Data integrity verification 2. Cutover procedures - Implement migration and replication 1. Schema conversion 2. Migration tool selection 3. Data replication methods
Deploy scalable and highly available databases in Google Cloud	20%	- Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code - Configure monitoring and alerting 1. Health checks and alerts 2. Performance dashboards - Implement high availability solutions 1. Read replicas deployment 2. Provision HA configurations 3. Multi-region replication

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

NEW QUESTION # 199
You are building an application that allows users to customize their website and mobile experiences. The application will capture user information and preferences. User profiles have a dynamic schema, and users can add or delete information from their profile. You need to ensure that user changes automatically trigger updates to your downstream BigQuery data warehouse. What should you do?

A. Use Firestore in Native mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
B. Store your data in Bigtable, and use the user identifier as the key. Use one column family to store user profile data, and use another column family to store user preferences.
C. Use Cloud SQL, and create different tables for user profile data and user preferences from your recommendations model. Use SQL to join the user profile data and preferences
D. Use Firestore in Datastore mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.

Answer: A

Explanation:
Use Firestore in Datastore mode for new server projects. Firestore in Datastore mode allows you to use established Datastore server architectures while removing fundamental Datastore limitations. Datastore mode can automatically scale to millions of writes per second. Use Firestore in Native mode for new mobile and web apps. Firestore offers mobile and web client libraries with real-time and offline features. Native mode can automatically scale to millions of concurrent clients.

NEW QUESTION # 200
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. Use the Cloud Spanner client libraries with a regional instance and enable connection pooling
B. Use the Cloud Spanner client libraries against a multi-region instance and configure connection pooling
C. Access Cloud Spanner through the REST API from the app and add a cache layer to improve response time
D. Connect to a fixed public IP address on the Cloud Spanner instance and enable SSL

Answer: B

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 # 201
Your company is developing a new global transactional application that must be ACID-compliant and have
99.999% availability. You are responsible for selecting the appropriate Google Cloud database to serve as a datastore for this new application. What should you do?

A. Use Firestore.
B. Use Cloud SQL.
C. Use Bigtable.
D. Use Cloud Spanner.

Answer: D

NEW QUESTION # 202
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

A. Watch the Cloud SQL recommenders for overprovisioned instances.
B. Watch Query Insights for long running queries.
C. Watch the Cloud SQL instance monitor for CPU utilization metrics.
D. Watch Cloud Trace for application requests that are failing.

Answer: B

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library

NEW QUESTION # 203
You need to perform a one-time migration of data from a running Cloud SQL for MySQL instance in the us-central1 region to a new Cloud SQL for MySQL instance in the us-east1 region. You want to follow Google-recommended practices to minimize performance impact on the currently running instance. What should you do?

A. Create two Datastream connection profiles, and use them to create a stream from one Cloud SQL instance to another.
B. Create a CSV file by running the SQL statement SELECT...INTO OUTFILE, copy the file to a Cloud Storage bucket, and import it into a new instance.
C. Create and run a Dataflow job that uses JdbcIO to copy data from one Cloud SQL instance to another.
D. Create a SQL dump file in Cloud Storage using a temporary instance, and then use that file to import into a new instance.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#serverless

NEW QUESTION # 204
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