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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q174-Q179):

NEW QUESTION # 174
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?

A. 1. Create migration job using Database Migration Service.
2. Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
3. Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
4. Update your application connections to the new instance.
B. 1. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
2. Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
3. Continue to dump each database until all the databases are migrated.
4. Update your application connections to the new instance.
C. 1. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
2. Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
3. Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
D. 1. Create migration job using Database Migration Service.
2. Set the migration job type to One-time, and perform this migration during a maintenance window.
3. Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
4. Update your application connections to the new instance.

Answer: A

NEW QUESTION # 175
Your online delivery business that primarily serves retail customers uses Cloud SQL for MySQL for its inventory and scheduling application. The required recovery time objective (RTO) and recovery point objective (RPO) must be in minutes rather than hours as a part of your high availability and disaster recovery design. You need a high availability configuration that can recover without data loss during a zonal or a regional failure. What should you do?

A. Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication.
B. Set up all read replicas in the same region as the primary instance with synchronous replication.
C. Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication.
D. Set up all read replicas in a different region using asynchronous replication.

Answer: A

Explanation:
This answer meets the RTO and RPO requirements by using synchronous replication within the same region, which ensures that all writes made to the primary instance are replicated to disks in both zones before a transaction is reported as committed1. This minimizes data loss and downtime in case of a zonal or an instance failure, and allows for a quick failover to the standby instance1.
This answer also meets the high availability and disaster recovery requirements by using asynchronous replication across different regions, which ensures that the data changes made to the primary instance are replicated to the read replicas in other regions with minimal delay2. This provides additional redundancy and backup in case of a regional failure, and allows for a manual failover to the read replica in another region2.

NEW QUESTION # 176
You are deploying a Cloud SOL for MySQL database to serve a non-critical application. The database size is
10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read- only traffic from the application during the day. The data locally requirement of This application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do?

A. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in a second region.
B. Create a Cloud SQL for MySQL instance with high availability (HA) enabled. Configure automated backups of the Cloud SQL instance and use the default backup location.
C. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in the same zone.
D. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Configure automated backups of the Cloud SQL instance and use a custom backup location to store backups in a Cloud Storage bucket in the same region.

Answer: D

NEW QUESTION # 177
You are designing a database strategy for a new web application in one region. You need to minimize write latency. What should you do?

A. Use Cloud Spanner in a regional configuration.
B. Use high availability (HA) Cloud SQL with multiple zones.
C. Use Cloud SQL with cross-region replicas.
D. Use zonal Cloud SQL without high availability (HA).

Answer: C

NEW QUESTION # 178
You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.
You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.
B. Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.
C. Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.
D. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.

Answer: C

NEW QUESTION # 179
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