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

Section	Objectives
Topic 1: 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 2: 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. Bigtable use cases and schema design 2. Cloud SQL vs AlloyDB vs Spanner selection criteria 3. Firestore and document database patterns
Topic 3: Manage a database solution spanning multiple systems	- Operational database management 1. Capacity planning and scaling 2. Monitoring and performance tuning 3. Backup and restore strategies
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 (Q41-Q46):

NEW QUESTION # 41
Your organization is running a low-latency reporting application on Microsoft SQL Server. In addition to the database engine, you are using SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) in your on- premises environment. You want to migrate your Microsoft SQL Server database instances to Google Cloud. You need to ensure minimal disruption to the existing architecture during migration. What should you do?

A. Migrate to Cloud SQL for PostgreSQL.
B. Migrate to Google Kubernetes Engine (GKE).
C. Migrate to Compute Engine.
D. Migrate to Cloud SQL for SQL Server.

Answer: C

Explanation:
You'd need GCE, as Cloud SQL does not support SSAS, SRS and SSIS, as of September 26th,
2023.
https://cloud.google.com/sql/docs/sqlserver/features

NEW QUESTION # 42
Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

A. Migrate the databases to Cloud SQL, and enable a standby database.
B. Migrate the databases to Cloud Spanner.
C. Migrate the databases to Compute Engine using regional persistent disks.
D. Migrate the databases to Bare Metal Solution for Oracle.

Answer: D

NEW QUESTION # 43
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. 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.
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. 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.
D. 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.

Answer: C

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 # 44
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

A. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
B. Use direct scaling to implement the Autoscaler-based architecture.
C. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.
D. Use linear scaling to implement the Autoscaler-based architecture

Answer: A

NEW QUESTION # 45
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance.
The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?

A. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.
B. Use query parameters to speed up frequently executed queries.
C. Change the Cloud Spanner configuration from multi-region to single region.
D. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.

Answer: A

Explanation:
Read statistics provide insight into how an application is using the database, and are useful when investigating performance issues.
https://cloud.google.com/spanner/docs/introspection/read-statistics

NEW QUESTION # 46
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