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

Section	Objectives
Topic 1: Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Choose relational and non-relational databases 2. Plan scalability and availability strategies 3. Design globally distributed architectures
Topic 2: Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Topic 3: Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Troubleshoot performance bottlenecks 3. Optimize storage and compute resources
Topic 4: Securing and ensuring compliance of database solutions	- Implement security best practices 1. Ensure compliance and governance 2. Enable encryption and auditing 3. Configure IAM and access controls
Topic 5: Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Manage maintenance and upgrades 3. Configure backups and recovery

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q209-Q214):

NEW QUESTION # 209
Your company has a critical application running on-premises on PostgreSQL. The application requires minimal migration downtime and the ability to withstand regional outages. You are considering a Cloud SQL Enterprise Plus edition instance on PostgreSQL. You need to ensure that the migration will meet your requirements with minimal effort.
What should you do?

A. Configure cross-region replicas, and test failover.
B. Use the PostgreSQL interface for Spanner.
C. Focus on provisioning large compute instances for optimal performance during failover.
D. Select standard storage options, and conduct regular database backups.

Answer: A

Explanation:
Configuring cross-region replicas in Cloud SQL Enterprise Plus provides built-in regional resilience and high availability. This architecture supports rapid failover in the event of a regional outage and enables migration strategies with minimal downtime and minimal operational complexity, directly meeting both resilience and availability requirements.

NEW QUESTION # 210
Your organization has strict policies on tracking rollouts to production and periodically shares this information with external auditors to meet compliance requirements. You need to enable auditing on several Cloud Spanner databases. What should you do?

A. Use backup and restore to roll out changes to higher environments.
B. Use Liquibase to roll out changes to higher environments.
C. Manually capture detailed DBA audit logs when changes are rolled out to higher environments.
D. Use replication to roll out changes to higher environments.

Answer: B

Explanation:
To satisfy audit reporting you would need a way to record what was changed and when. The best answer is one which uses some kind of source code control system (SCCS). That rules out A and B. Any mention of anything manual in a cloud environment should look suspicious, which leave option C. As it happens, Liquibase is an SCCS and can be integrated with Spanner. https://cloud.google.com/spanner/docs/use-liquibase

NEW QUESTION # 211
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 Cloud Spanner with Data Studio.
B. Use Bigtable with Looker.
C. Use Firestore with Looker.
D. Use MongoD8 Atlas with Charts.

Answer: D

NEW QUESTION # 212
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. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
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.
Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
B. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
Continue to dump each database until all the databases are migrated.
Update your application connections to the new instance.
C. Create migration job using Database Migration Service.
Set the migration job type to One-time, and perform this migration during a maintenance window.
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.
Update your application connections to the new instance.
D. Create migration job using Database Migration Service.
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.
Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
Update your application connections to the new instance.

Answer: D

Explanation:
https://cloud.google.com/datastream/docs/overview.

NEW QUESTION # 213
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

A. Watch the Cloud SQL instance monitor for CPU utilization metrics.
B. Watch the Cloud SQL recommenders for overprovisioned instances.
C. Watch Cloud Trace for application requests that are failing.
D. Watch Query Insights for long running queries.

Answer: D

Explanation:
Cloud Trace doesn't support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too largefor their workload. Eliminate C.
Monitoring CPU utilization wouldn't tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers- practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library

NEW QUESTION # 214
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