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

Section	Objectives
Manage a database solution spanning multiple systems	- Operational database management 1. Monitoring and performance tuning 2. Capacity planning and scaling 3. Backup and restore strategies
Design scalable and highly available database solutions	- 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 - Design for high availability and disaster recovery 1. Replication strategies and failover design 2. Regional vs multi-regional architectures
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)
Ensure reliability, performance, and optimization	- Performance optimization 1. Workload tuning across database services 2. Indexing, query optimization, and caching strategies - Security and compliance 1. IAM roles and access control 2. Encryption at rest and in transit

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q34-Q39):

NEW QUESTION # 34
Your company's mission-critical, globally available application is supported by a Cloud Spanner database. Experienced users of the application have read and write access to the database, but new users are assigned read-only access to the database. You need to assign the appropriate Cloud Spanner Identity and Access Management (IAM) role to new users being onboarded soon. What roles should you set up?

A. roles/spanner.databaseReader
B. roles/spanner.backupWriter
C. roles/spanner.viewer
D. roles/spanner.databaseUser

Answer: A

Explanation:
https://cloud.google.com/spanner/docs/iam?hl=it

NEW QUESTION # 35
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 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
B. 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.
C. 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.
D. 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.

Answer: D

NEW QUESTION # 36
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google- recommended practices. What should you do?

A. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
B. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
C. Restore the Cloud SQL instance from the automatic backups in region 3.
D. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.

Answer: D

Explanation:
No need for restores if you have a read replica which you can promote to be the new primary.
Eliminate A and B. Failovers do not happen automatically to read replicas. You have to promote them. Eliminate D. That leaves C which is supported by Google's documentation.
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 37
Your company's mission-critical, globally available application is supported by a Cloud Spanner database. Experienced users of the application have read and write access to the database, but new users are assigned read-only access to the database. You need to assign the appropriate Cloud Spanner Identity and Access Management (IAM) role to new users being onboarded soon.
What roles should you set up?

A. roles/spanner.backupWriter
B. roles/spanner.viewer
C. roles/spanner.databaseUser
D. roles/spanner.databaseReader

Answer: B

Explanation:
With Spanner.viewer user cannot read database, but he can visualize only database List.
https://cloud.google.com/spanner/docs/iam?hl=it

NEW QUESTION # 38
Your company is rapidly expanding its user base across North America, nearly doubling in the last 6-months. This expansion causes a substantial increase in query volume on your mission- critical Cloud SQL database. This has led to noticeable performance issues and slower query response times. You suspect that your Cloud SQL instance may not be able to handle the incremental load. You need to identify the root cause of this performance bottleneck and ensure that your database can scale with your growing user base. What should you do-

A. Review Cloud SQL System Insights for the instance, and analyze CPU, memory, and storage utilization metrics.
B. Evaluate the application connection pooling configuration settings.
C. Create two Cloud SQL instances, and split the workload between them.
D. Migrate the database to Spanner.

Answer: A

Explanation:
Start by using Cloud-SQL's System-Insights dashboard to pinpoint whether CPU, memory, or disk I/O is saturating during peak loads. Analyzing these resource-utilization charts will reveal the root cause, letting you choose the right scaling strategy (vertical resize, read replicas, or sharding) rather than guessing.

NEW QUESTION # 39
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