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

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

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Google Cloud Certified - Professional Cloud Database Engineer Professional-Cloud-Database-Engineer Prüfungsfragen mit Lösungen (Q80-Q85):

80. Frage
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

A. Use Bigtable with Looker.
B. Use Firestore with Looker.
C. Use MongoD8 Atlas with Charts.
D. Use Cloud Spanner with Data Studio.

Antwort: C

81. Frage
You are configuring the networking of a Cloud SQL instance. The only application that connects to this database resides on a Compute Engine VM in the same project as the Cloud SQL instance. The VM and the Cloud SQL instance both use the same VPC network, and both have an external (public) IP address and an internal (private) IP address. You want to improve network security. What should you do?

A. Disable and remove the internal IP address assignment.
B. Specify an authorized network with the CIDR range of the VM.
C. Disable and remove the external IP address assignment.
D. Disable both the external IP address and the internal IP address, and instead rely on Private Google Access.

Antwort: C

Begründung:
It is always more secure to use an internal IP, so removing them doesn't make sense. Eliminate A. You can use Private Google Access when VM instances only have internal IP addresses, so disabling the internal IPs and use Private Google Access doesn't make sense. Eliminate B. Specifying an authorized network when they're on the same subnet doesn't make sense. Eliminate C. A way to improve network security would be to disable external IPs since they're not needed.

82. Frage
You have deployed a Cloud SQL for SQL Server instance. In addition, you created a cross-region read replica for disaster recovery (DR) purposes. Your company requires you to maintain and monitor a recovery point objective (RPO) of less than 5 minutes. You need to verify that your cross-region read replica meets the allowed RPO. What should you do?

A. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
B. Use the SQL Server Always On Availability Group dashboard.
C. Use Cloud SQL instance monitoring.
D. Use Cloud SQL logs.

Antwort: B

Begründung:
Note, you cannot create a read replica in Cloud SQL for SQL Server unless you use an Enterprise Edition.
Which is also a requirement for configuring SQL Server AG. That's not a coincidence. That's how Cloud SQL for SQL Server creates SQL Server read replicas. To find out about the replication, use the AG Dashboard in SSMS.https://cloud.google.com/sql/docs/sqlserver/replication/manage-replicas#promote-replica

83. Frage
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

A. roles/cloudsql.editor and roles/spanner.admin
B. roles/cloudsql.viewer and roles/spanner.databaseUser
C. roles/cloudsql.instanceUser and roles/spanner.databaseUser
D. roles/cloudsql.client and roles/spanner.databaseReader

Antwort: B

Begründung:
To read data out of Cloud SQL for SQL Server, you need to use a service account with the roles/cloudsql.viewer role on the Cloud SQL instance. This role grants the service account permission to read data from the instance. Whereas roles/cloudsql.instanceUser will only allow to login to cloud SQL instance. No resource will be allowed to view.

84. Frage
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.

Antwort: A

Begründung:
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.

85. Frage
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