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

Section	Objectives
Topic 1: Design scalable and highly available database solutions	- Design for high availability and disaster recovery 1. Replication strategies and failover design 2. Regional vs multi-regional architectures - 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: Manage a database solution spanning multiple systems	- Operational database management 1. Capacity planning and scaling 2. Backup and restore strategies 3. Monitoring and performance tuning
Topic 4: Ensure reliability, performance, and optimization	- Performance optimization 1. Workload tuning across database services 2. Indexing, query optimization, and caching strategies - 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 (Q84-Q89):

NEW QUESTION # 84
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 asynchronous replication, and set up read replicas in different regions with synchronous replication.
B. Set up all read replicas in the same region as the primary instance with synchronous replication.
C. Set up all read replicas in a different region using asynchronous replication.
D. 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.

Answer: D

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 # 85
You are implementing fine grained access (FGA) control on your Cloud SQL resources. You want to follow the principle of least privilege while maintaining centralized control for administrators.
What should you do?

A. Create labels at the project level.
B. Create tags at the organization level.
C. Create tags at the project level.
D. Create labels at the organization level.

Answer: B

Explanation:
Creating tags at the organization level enables centralized administrative control and fine-grained IAM policy enforcement across all projects, supporting fine-grained access (FGA) while following the principle of least privilege by allowing precise, hierarchical permission scoping.

NEW QUESTION # 86
You are using Memorystore for Redis to cache frequently accessed data and improve your application's performance. Recently, your application is experiencing sudden spikes in latency when interacting with the Memorystore for Redis instance. Upon checking the logs, you discover a high number of "evicted keys" messages. You want to reduce the occurrences of latency spikes and their impact on the application. What should you do-

A. Scale the Memorystore instance to a larger memory size.
B. Increase the time to live (TTL) value of all the keys within the cache.
C. Redeploy your application to the same zone as the Memorystore instance.
D. Enable read replicas. Deploy additional read replica instances to distribute read workloads.

Answer: A

Explanation:
Scaling up the instance's memory prevents frequent evictions by giving Redis more headroom, which reduces eviction-induced latency spikes.

NEW QUESTION # 87
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 region 3.
B. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance.
Check the replication status usingpg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
C. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
D. 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 .

Answer: B

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 88
Your team recently released a new version of a highly consumed application to accommodate additional user traffic. Shortly after the release, you received an alert from your production monitoring team that there is consistently high replication lag between your primary instance and the read replicas of your Cloud SQL for MySQL instances. You need to resolve the replication lag. What should you do?

A. Edit the primary instance to upgrade to a larger disk, and increase vCPU count.
B. Stop all running queries, and re-create the replicas.
C. Edit the primary instance to add additional memory.
D. Identify and optimize slow running queries, or set parallel replication flags.

Answer: D

NEW QUESTION # 89
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