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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q81-Q86):

NEW QUESTION # 81
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance.
The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?

A. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
B. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.
C. Change the Cloud Spanner configuration from multi-region to single region.
D. Use query parameters to speed up frequently executed queries.

Answer: B

Explanation:
Read statistics provide insight into how an application is using the database, and are useful when investigating performance issues.
https://cloud.google.com/spanner/docs/introspection/read-statistics

NEW QUESTION # 82
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?

A. Use log messages produced by Cloud SQL.
B. Use Cloud SQL instance monitoring in the Google Cloud Console.
C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
D. Use Query Insights for Cloud SQL.

Answer: C

NEW QUESTION # 83
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

A. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.
B. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).
C. Create a VM in Compute Engine, and run a cron job.
D. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.

Answer: D

NEW QUESTION # 84
Your company uses a custom application to service thousands of users. The application is running on a Compute Engine and a Cloud SQL for PostgreSQL database. The company requires database passwords to be changed every 60-days. You need to ensure that the credentials used by the web application to connect to the database are managed securely. What should you do-

A. 1. Store the credentials in an encrypted text file in the application.
2. Use Cloud Key Management Service (Cloud KMS) to store the key for decrypting the text file.
3. Modify the application to decrypt the text file and retrieve the credentials on startup.
4. Update the text file every 60-days.
B. 1. Store the credentials in a text file in a Cloud Storage bucket.
2. Modify the application to download the text file and retrieve the credentials on startup.
3. Update the text file every 60-days.
C. 1. Configure IAM database authentication for the application to connect to the database.
2. Create an IAM user and map it to a separate database user for each application user.
D. 1. Store the credentials to the database in Secret Manager.
2. Modify the application to retrieve the credentials from Secret Manager on startup.
3. Configure the rotation interval to 60-days.

Answer: D

Explanation:
Secret Manager is the managed, secure store for your database credentials. By placing the Cloud SQL username and password there, configuring a 60-day rotation policy, and modifying your app to fetch them at startup, you get automatic credential rotation and audit logging with minimal code changes.

NEW QUESTION # 85
Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation.
What should you do?

A. Use Error Reporting to count, analyze, and aggregate the data.
B. Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.
C. Use Logs Explorer to analyze log data.
D. Use Cloud Debugger to inspect the state of an application.

Answer: B

NEW QUESTION # 86
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