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

Section	Objectives
Topic 1: 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
Topic 2: Design scalable and highly available database solutions	- Select appropriate database services (relational, NoSQL, analytical) 1. Firestore and document database patterns 2. Cloud SQL vs AlloyDB vs Spanner selection criteria 3. Bigtable use cases and schema design - Design for high availability and disaster recovery 1. Regional vs multi-regional architectures 2. Replication strategies and failover design
Topic 3: 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
Topic 4: 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)

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q117-Q122):

NEW QUESTION # 117
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL.
You need to be able to monitor database performance to easily identify applications with long- running and resource-intensive queries. What should you do?

A. Use Cloud SQL instance monitoring in the Google Cloud Console.
B. Use Query Insights for Cloud SQL.
C. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
D. Use log messages produced by Cloud SQL.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction

NEW QUESTION # 118
You are migrating your critical production database from Amazon RDS for MySQL to Cloud SQL for MySQL by using Google Cloud's Database Migration Service. You want to keep disruption to your production database to a minimum and, at the same time, optimize migration performance.
What should you do-

A. Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.
B. Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.
C. Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.
D. Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.

Answer: A

Explanation:
By pointing your single Database Migration Service job at an Amazon-RDS read replica and cranking initial-load parallelism to its maximum, you offload heavy full-load reads from production and ingest data faster into Cloud-SQL. This approach minimizes impact on your live primary instance while maximizing throughput during the initial load.

NEW QUESTION # 119
You are configuring a new application that has access to an existing Cloud Spanner database.
The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

A. Reuse the existing service account that populates this database.
B. Create a new service account, and grant it the spanner.databases.select permission.
C. Create a new service account, and grant it the Cloud Spanner Database Reader role.
D. Create a new service account, and grant it the Cloud Spanner Database Admin role.

Answer: C

Explanation:
spanner.database.select is not enough, you also need a spanner.database.read which is included in Cloud Spanner Database Reader role.

NEW QUESTION # 120
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do?

A. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
Schedule downtime to run each Cloud Data Fusion pipeline.
Verify that the migration was successful.
Re-point the applications to the Cloud SQL for MySQL instance.
B. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in compressed format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
C. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in CSV format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
D. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance.

Answer: D

Explanation:
https://cloud.google.com/database-migration/docs/mysql/configure-source-database To migrate the database while preserving transactions and minimizing downtime, you should use Database Migration Service. This service will allow you to migrate the database in a way that is transparent to your users and applications. It will also allow you to test the migration before you make it live, so that you can be sure that everything will work as expected.

NEW QUESTION # 121
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

A. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.
B. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.
C. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).
D. Create a VM in Compute Engine, and run a cron job.

Answer: B

Explanation:
Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured.
https://cloud.google.com/tasks/docs/comp-tasks-sched

NEW QUESTION # 122
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