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

Section	Objectives
Ensure reliability, performance, and optimization	- Security and compliance 1. IAM roles and access control 2. Encryption at rest and in transit - Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services
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. Bigtable use cases and schema design 3. Firestore and document database patterns
Migrate data solutions to Google Cloud	- Database migration strategies 1. Online vs offline migration tools (e.g., Database Migration Service) 2. Lift-and-shift vs re-platforming
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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q125-Q130):

NEW QUESTION # 125
You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.
You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.
B. Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.
C. Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.
D. Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.

Answer: B

NEW QUESTION # 126
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

A. Create the instances using the Google Cloud Console UI.
B. Automate instance creation by writing a Dataflow job.
C. Automate instance creation by setting up Terraform scripts.
D. Create clones from a template Cloud SQL instance.

Answer: C

NEW QUESTION # 127
You need to perform a one-time migration of data from a running Cloud SQL for MySQL instance in the us-central1 region to a new Cloud SQL for MySQL instance in the us-east1 region. You want to follow Google-recommended practices to minimize performance impact on the currently running instance. What should you do?

A. Create a CSV file by running the SQL statement SELECT...INTO OUTFILE, copy the file to a Cloud Storage bucket, and import it into a new instance.
B. Create a SQL dump file in Cloud Storage using a temporary instance, and then use that file to import into a new instance.
C. Create and run a Dataflow job that uses JdbcIO to copy data from one Cloud SQL instance to another.
D. Create two Datastream connection profiles, and use them to create a stream from one Cloud SQL instance to another.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#serverless

NEW QUESTION # 128
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. Manually capture detailed DBA audit logs when changes are rolled out to higher environments.
B. Use replication to roll out changes to higher environments.
C. Use backup and restore to roll out changes to higher environments.
D. Use Liquibase to roll out changes to higher environments.

Answer: D

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 # 129
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command.
What should you do?

A. Use gcloud sql instances promote-replica <PrimaryInstanceName>.
B. Use gcloud sql instances promote-replica <ReplicaInstanceName>.
C. Use gcloud sql instances failover <ReplicaInstanceName>.
D. Use gcloud sql instances failover <PrimaryInstanceName>.

Answer: B

NEW QUESTION # 130
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