Google Professional-Cloud-Database-Engineer認定試験に適した最新問題集が登場

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

Section	Objectives
Topic 1: 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. Replication strategies and failover design 2. Regional vs multi-regional architectures
Topic 2: 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 3: Ensure reliability, performance, and optimization	- Security and compliance 1. Encryption at rest and in transit 2. IAM roles and access control - Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services
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 認定 Professional-Cloud-Database-Engineer 試験問題 (Q112-Q117):

質問 # 112
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 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.
D. 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.

正解：B

質問 # 113
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance.
Check the replication status usingpg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
B. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
C. Restore the Cloud SQL instance from the automatic backups in region 3.
D. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .

正解：A

解説：
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

質問 # 114
You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions.
You want to follow Google-recommended practices for the migration. What should you do?

A. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.
B. Take nightly snapshots of the primary database instance, and restore them in a secondary zone.
C. Enable high availability (HA) for the database to make it regional.
D. Create a read replica in another region, and promote the read replica if a failure occurs.

正解：C

質問 # 115
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 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.
B. 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.
C. 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.
D. 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.

正解：C

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

質問 # 116
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud. While investigating the Cloud SQL Proxy logs, you see the message Error 403: Access Not Configured. What should you do?

A. Ensure that you are using an external (public) IP address interface.
B. Enable the Cloud SQL Admin API.
C. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
D. Check whether your service account has cloudsql.instances.connect permission.

正解：C

質問 # 117
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