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

Section	Objectives
Migrate data solutions to Google Cloud	- Database migration strategies 1. Online vs offline migration tools (e.g., Database Migration Service) 2. Lift-and-shift vs re-platforming
Manage a database solution spanning multiple systems	- Operational database management 1. Backup and restore strategies 2. Monitoring and performance tuning 3. Capacity planning and scaling
Design scalable and highly available database solutions	- Design for high availability and disaster recovery 1. Regional vs multi-regional architectures 2. Replication strategies and failover design - 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
Ensure reliability, performance, and optimization	- Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services - 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 (Q178-Q183):

NEW QUESTION # 178
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

A. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.
B. Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.
C. Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.
D. Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.

Answer: D

NEW QUESTION # 179
Your company uses Cloud Spanner for a mission-critical inventory management system that is globally available. You recently loaded stock keeping unit (SKU) and product catalog data from a company acquisition and observed hot-spots in the Cloud Spanner database. You want to follow Google-recommended schema design practices to avoid performance degradation. What should you do? (Choose two.)

A. Use an auto-incrementing value as the primary key.
B. Promote high-cardinality attributes in multi-attribute primary keys.
C. Normalize the data model.
D. Use bit-reverse sequential value as the primary key.
E. Promote low-cardinality attributes in multi-attribute primary keys.

Answer: A,B

NEW QUESTION # 180
You are running a transactional application on Cloud SQL for PostgreSQL in Google Cloud. The database is running in a high availability configuration within one region. You have encountered issues with data and want to restore to the last known pristine version of the database. What should you do?

A. Create a clone database from a read replica database, and restore the clone into a different zone.
B. Create a clone database from a read replica database, and restore the clone in the same region.
C. Use the Cloud SQL point-in-time recovery (PITR) feature. Restore the copy from two hours ago to a new database instance.
D. Use the Cloud SQL database import feature. Import last week's dump file from Cloud Storage.

Answer: C

Explanation:
Using import/export from last week is slow for large scale databases and will restore database from last week.

NEW QUESTION # 181
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

A. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance.
B. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance.
C. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.
D. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configurehttps://cloud.google.com/sql/docs/mysql
/connect-run#connection-pools

NEW QUESTION # 182
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. Change the Cloud Spanner configuration from multi-region to single region.
B. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
C. Use query parameters to speed up frequently executed queries.
D. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.

Answer: D

Explanation:
To troubleshoot high read latency, you can use SQL statements to analyze the SPANNER_SYS.
READ_STATS* tables. These tables contain statistics about read operations in Cloud Spanner, including the number of reads, read latency, and the number of read errors. By analyzing these tables, you can identify the cause of the high read latency and take appropriate action to resolve the issue. Other options, such as using query parameters to speed up frequently executed queries or changing the Cloud Spanner configuration from multi-region to single region, may not be directly related to the issue of high read latency. Similarly, analyzing the SPANNER_SYS.QUERY_STATS* tables, which contain statistics about query operations, may not be relevant to the issue of high read latency.

NEW QUESTION # 183
......

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