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| Section | Objectives |
|---|
| Topic 1: 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. Cloud SQL vs AlloyDB vs Spanner selection criteria
- 2. Firestore and document database patterns
- 3. Bigtable use cases and schema design
|
| Topic 2: 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)
|
| Topic 3: 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
|
| Topic 4: Manage a database solution spanning multiple systems | - Operational database management
- 1. Monitoring and performance tuning
- 2. Backup and restore strategies
- 3. Capacity planning and scaling
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q11-Q16):
NEW QUESTION # 11
Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?
- A. Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.
- B. Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.
- C. Create an external replica, and use Cloud SQL to synchronize the data to the replica.
- D. Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.
Answer: B
NEW QUESTION # 12
You need to perform a one-time migration of data from a running Cloud SQL for MySQL instance in the us-central1 region to a new Cloud SQL for MySQL instance in the us-east1 region. You want to follow Google-recommended practices to minimize performance impact on the currently running instance. What should you do?
- A. Create a SQL dump file in Cloud Storage using a temporary instance, and then use that file to import into a new instance.
- B. Create a CSV file by running the SQL statement SELECT...INTO OUTFILE, copy the file to a Cloud Storage bucket, and import it into a new instance.
- C. Create and run a Dataflow job that uses JdbcIO to copy data from one Cloud SQL instance to another.
- D. Create two Datastream connection profiles, and use them to create a stream from one Cloud SQL instance to another.
Answer: A
Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#serverless
NEW QUESTION # 13
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. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
- B. Restore the Cloud SQL instance from the automatic backups in region 3.
- C. 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 .
- 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:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery
NEW QUESTION # 14
You have a transactional system on PostgreSQL that is being overwhelmed with analytic queries during the work day. You want to move this workload to AlloyDB for PostgreSQL and need to find the most cost-effective solution that supports the transactional and analytic workloads with minimal downtime.
What should you do?
- A. Define a primary instance for the transactional workload, and a large read pool instance for the analytic workload.
- B. Define a primary instance for the transactional workload and a small read pool instance that you scale up when the read pool instance is over 80% CPU busy for the analytic workload.
- C. Define a large primary instance to accommodate the transactional and analytic workloads.
- D. Define a primary instance for the transactional workload and a small read pool that you scale out before the work day starts and scale back at night for the analytic workload.
Answer: D
Explanation:
Using an AlloyDB primary for transactions with a read pool for analytics offloads analytic queries from the primary while maintaining minimal downtime. Scaling the read pool out before peak analytic hours and scaling back after hours matches capacity to demand, delivering the lowest cost while still meeting daytime analytic performance needs.
NEW QUESTION # 15
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?
- A. Export the data from the existing instance, and import the data into a new instance with solid- state drives (SSDs).
- B. Edit the instance to change the storage type from HDD to SSD.
- C. Create a read replica of the instance with SSDs, and perform a failover to the new instance
- D. Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.
Answer: A
NEW QUESTION # 16
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