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

Section	Objectives
Managing database solutions	- Deploy and administer databases 1. Manage maintenance and upgrades 2. Implement monitoring and alerting 3. Configure backups and recovery
Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Optimize storage and compute resources 3. Troubleshoot performance bottlenecks
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Plan scalability and availability strategies 2. Choose relational and non-relational databases 3. Design globally distributed architectures
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Configure IAM and access controls 2. Ensure compliance and governance 3. Enable encryption and auditing

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q161-Q166):

NEW QUESTION # 161
Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)

A. Create a PostgreSQL database on-premises as the HA option.
B. Enable point-in-time recovery.
C. Schedule automated backups.
D. Set up manual backups.
E. Configure single zone availability for automated backups.

Answer: B,C

Explanation:
D: Enable point-in-time recovery - This feature allows you to restore your database to a specific point in time.
It helps protect against data loss and can be used in the event of data corruption or accidental data deletion. E.
Schedule automated backups - Automated backups allow you to take regular backups of your database without manual intervention. You can use these backups to restore your database in the event of data loss or corruption.

NEW QUESTION # 162
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

A. Use Firestore with Looker.
B. Use Cloud Spanner with Data Studio.
C. Use MongoD8 Atlas with Charts.
D. Use Bigtable with Looker.

Answer: C

NEW QUESTION # 163
You are building the database layer for a multinational ticketing marketplace on Google Cloud.
Traffic is unpredictable and can spike by 8x during global presales and seasonal campaigns. The system must deliver strongly consistent transactions, sub second reads for users on three continents, and a 99.999% availability target while still keeping spend under control. Which Google Cloud database service and configuration should you choose to meet these goals?

A. Cloud Spanner with multi-regional configuration and SSD storage
B. Cloud Bigtable with multi-cluster replication across two regions
C. Cloud SQL for PostgreSQL with regional HA and cross-region read replicas using SSD
D. Cloud Firestore in Native mode with regional configuration

Answer: A

Explanation:
Cloud Spanner meets the requirement for strongly consistent transactions through externally consistent reads and writes, which allows you to process OLTP workloads without violating correctness during spikes. The multi-regional configuration provides a five nines availability target through synchronous replication and automatic failover, which aligns with the 99.999 percent requirement. SSD storage underpins low latency performance.
For users on three continents, a global multi-region such as a configuration that spans North America, Europe, and Asia enables sub second reads from nearby replicas using bounded staleness, while transactions remain strongly consistent by committing through the leader. Cloud Spanner also scales horizontally and can use processing units and compute autoscaling so you can expand capacity during 8x surges and reduce it when demand subsides to help keep spend under control.

NEW QUESTION # 164
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud.
Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?

A. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
B. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
C. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
D. Configure the primary, standby, and read replica instances in zone A, all in the same region.

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

NEW QUESTION # 165
You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?

A. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and
1AM, and deny maintenance periods between November 1 and January 15.
B. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
C. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
D. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.

Answer: C

Explanation:
Deny maintenance period. A block of days in which Cloud SQL does not schedule maintenance.
Deny maintenance periods can be up to 90 days long.
https://cloud.google.com/sql/docs/mysql/maintenance

NEW QUESTION # 166
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