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Google Professional-Cloud-Database-Engineer 問題集

Professional-Cloud-Database-Engineer

試験コード:Professional-Cloud-Database-Engineer

試験名称:Google Cloud Certified - Professional Cloud Database Engineer

最近更新時間:2025-01-21

問題と解答:全134問

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質問 1:
Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?
A. Issue a gcloud compute instances update command to increase the number of vCPUs.
B. Issue a gcloud sql instances patch command to increase the number of vCPUs.
C. Back up the database, create an instance with additional vCPUs, and restore the database.
D. Update a MySQL database flag to increase the number of vCPUs.
正解:B
解説: (Topexam メンバーにのみ表示されます)

質問 2:
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)
A. Increase the network bandwidth to 10 Gbps, and then perform an offline data migration.
B. Keep the network bandwidth at 1 Gbps, and then perform an offline data migration.
C. Increase the network bandwidth to 2 Gbps, and then perform an offline data migration.
D. Use a change data capture (CDC) migration strategy.
E. Move the physical database servers from on-premises to Google Cloud.
正解:A,D
解説: (Topexam メンバーにのみ表示されます)

質問 3:
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?
A. Use BigQuery, and load data in batches.
B. C.Deploy the database using Bigtable.
C. Deploy the database using Cloud Spanner.
D. Deploy the database using Cloud SQL.
正解:B
解説: (Topexam メンバーにのみ表示されます)

質問 4:
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?
A. Manually or automatically increase the storage capacity.
B. Normalize the database to the third normal form.
C. Create another schema to load older data.
D. Compress the data using a different compression algorithm.
正解:A
解説: (Topexam メンバーにのみ表示されます)

質問 5:
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 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.
B. 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.
C. 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.
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:A
解説: (Topexam メンバーにのみ表示されます)

質問 6:
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. 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.
B. 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.
C. 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.
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:A

質問 7:
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?
A. Use Memorystore for data storage.
B. Use Cloud SQL for data storage.
C. Use Cloud Spanner for data storage.
D. Use Bigtable for data storage.
正解:C
解説: (Topexam メンバーにのみ表示されます)

質問 8:
You are building an application that allows users to customize their website and mobile experiences. The application will capture user information and preferences. User profiles have a dynamic schema, and users can add or delete information from their profile. You need to ensure that user changes automatically trigger updates to your downstream BigQuery data warehouse. What should you do?
A. Store your data in Bigtable, and use the user identifier as the key. Use one column family to store user profile data, and use another column family to store user preferences.
B. Use Firestore in Native mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
C. Use Firestore in Datastore mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
D. Use Cloud SQL, and create different tables for user profile data and user preferences from your recommendations model. Use SQL to join the user profile data and preferences
正解:B
解説: (Topexam メンバーにのみ表示されます)

質問 9:
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure. You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?
A. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
D. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
正解:B
解説: (Topexam メンバーにのみ表示されます)

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Google Professional-Cloud-Database-Engineer 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Reverse replication from Google Cloud to source
  • Evaluate appropriate database solutions on Google Cloud
トピック 2
  • Differentiate between managed and unmanaged database services
  • Analyze the cost of running database solutions in Google Cloud
トピック 3
  • Manage database users, including authentication and access
  • Continuously assess and optimize the cost of running a database solution
トピック 4
  • Justify the use of session pooler services
  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
トピック 5
  • Plan and perform database migration, including fallback plans and schema conversion
  • Test high availability and disaster recovery strategies periodically
トピック 6
  • Distinguish between SQL and NoSQL business requirements
  • Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
トピック 7
  • Design for recovery time objective (RTO) and recovery point objective (RPO)
  • Assess slow running queries and database locking and identify missing indexes
トピック 8
  • Evaluate performance and cost tradeoffs of different database configurations
  • Plan database upgrades for Google Cloud-managed databases
トピック 9
  • Analyze relevant variables to perform database capacity and usage planning
  • Design scalable, highly available, and secure databases
トピック 10
  • Deploy scalable and highly available databases in Google Cloud
  • Determine database connectivity and access management considerations

参照:https://cloud.google.com/certification/cloud-database-engineer

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Professional-Cloud-Database-Engineer 関連試験
Professional-Machine-Learning-Engineer - Google Professional Machine Learning Engineer
Associate-Cloud-Engineer-JPN - Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer日本語版)
Professional-Cloud-Security-Engineer-JPN - Google Cloud Certified - Professional Cloud Security Engineer Exam (Professional-Cloud-Security-Engineer日本語版)
Cloud-Digital-Leader-JPN - Google Cloud Digital Leader (Cloud-Digital-Leader日本語版)
Professional-Collaboration-Engineer-JPN - Google Cloud Certified - Professional Collaboration Engineer (Professional-Collaboration-Engineer日本語版)
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