Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:
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Reference: https://cloud.google.com/certification/cloud-database-engineer
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:
Question #1
You are planning the migration of a large Oracle database to AlloyDB for PostgreSQL. The database contains a large amount of application logic written as stored procedures that needs to be migrated to the target database. You want to minimize both migration effort and downtime for the migration. What should you do-
A. Use Ora2pg for schema and code conversion and data migration.
B. Use Database Migration Service. Set up a conversion workspace for schema and code conversion. Create a migration job to perform backfill and change data capture to replicate data from source to destination.
C. Use Ora2pg for schema and code conversion. Use the oracle_fdwextension in AlloyDB and replicate data from source to destination by using CREATE TABLE AS SELECTstatements.
D. Use Database Migration Service. Set up a legacy conversion workspace for schema and code conversion. Create a migration job to perform backfill and change data capture to replicate data from source to destination.
Question #2
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 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.
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. Connect to the instance using a connection pool to best manage connections to the instance.
C. 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.
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. Connect to the instance using a connection pool to best manage connections to the instance.
Question #3
Your retail company is currently using DynamoDB to store product catalog data. Due to increasing data volumes and the need for better scalability, cost efficiency, and AI features; you have decided to migrate your data to Bigtable. You want a cost-effective migration, with minimal downtime and minimal effort, while ensuring data consistency between the two databases. What should you do-
A. Create a Dataflow pipeline using the DynamoDBIO and BigtableIO connectors to stream data from DynamoDB to Bigtable in near real time.
B. Export the DynamoDB data to CSV files, upload them to Cloud Storage, and use the cbtCLI to import the data into Bigtable.
C. Use Dataproc to export the data from DynamoDB and load it into Bigtable.
D. Develop a custom script using the DynamoDB and Bigtable APIs to directly transfer data between the two databases.
Question #4
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?
A. Use the default app profile with single-cluster routing.
B. Create a custom app profile with single-cluster routing.
C. Use the default app profile with multi-cluster routing.
D. Create a custom app profile with multi-cluster routing.
Question #5
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near- real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)
A. Disable replication on the read replica, and set the flag for parallel replication on the read replica.
Re-enable replication and optimize performance by setting flags on the primary instance.
B. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.
C. Create secondary indexes on the replica.
D. Create additional read replicas, and partition your analytics users to use different read replicas.
E. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: A | Question #4 Correct Answer: D | Question #5 Correct Answer: A,C |


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