ちなみに、CertShiken Professional-Cloud-Database-Engineerの一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1flLLMmfvv7MnpOOyqVfjFyhLjQTOPw50
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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Cloud Database Engineer |
| Exam Number: | Professional-Cloud-Database-Engineer |
| Exam Format: | Multiple select, Scenario-based questions, Multiple choice |
| Related Certifications: | Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Data Engineer |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 USD (plus tax where applicable) |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed (pass/fail scaled scoring) |
| Available Languages: | English |
| Recommended Training: | Google Cloud Skills Boost - Database Engineer Learning Path Google Cloud Database documentation |
| Exam Registration: | Official Google Cloud Certification Portal Cloud Database Engineer Certification Page |
| Sample Questions: | Google Professional-Cloud-Database-Engineer Sample Questions |
| Exam Way: | Online proctored or onsite test center exam |
| Pre Condition: | No formal prerequisites required. Recommended: ~5 years database/IT experience including ~2 years Google Cloud database experience. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-database-engineer |
>> Professional-Cloud-Database-Engineerテキスト <<
GoogleのProfessional-Cloud-Database-Engineer認定試験に合格するためにたくさん方法があって、非常に少ないの時間とお金を使いのは最高で、CertShikenが対応性の訓練が提供いたします。
Google Professional-Cloud-Database-Engineer 認定は、Google Cloud Platform 上で安全かつスケーラブルなデータベースソリューションを設計、開発、管理するデータベースプロフェッショナルが自己のキャリアを進め、専門知識を証明するための貴重な資格です。この認定を取得することで、個人は Google Cloud テクノロジーを扱うスキルと知識を雇用主やクライアントに示し、求人市場においてより価値のある存在となることができます。
質問 # 114
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?
正解：B
解説：
https://www.actifio.com/solutions/cloud/google/
質問 # 115
Which Google Cloud database offers strongly consistent transactions, supports both relational and JSON data, and delivers globally distributed low latency across three continents?
正解：D
解説：
It delivers strongly consistent transactions, supports both relational schema and a JSON data type, and provides globally distributed low latency across continents.
This database offers true strong consistency with ACID transactions and synchronous replication, so reads and writes remain consistent even when distributed. It supports standard SQL with a relational model and includes native JSON support, which satisfies the requirement for both relational and JSON. Its multi region configuration replicates data across geographically separate regions to provide low latency access around the world while maintaining consistency.
質問 # 116
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?
正解：D
解説：
https://firebase.google.com/docs/firestore/manage-data/enable-offline
質問 # 117
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)
正解：A、B
質問 # 118
You are building the database layer for a multinational ticketing marketplace on Google Cloud.
Traffic is unpredictable and can spike by 8x during global presales and seasonal campaigns. The system must deliver strongly consistent transactions, sub second reads for users on three continents, and a 99.999% availability target while still keeping spend under control. Which Google Cloud database service and configuration should you choose to meet these goals?
正解：B
解説：
Cloud Spanner meets the requirement for strongly consistent transactions through externally consistent reads and writes, which allows you to process OLTP workloads without violating correctness during spikes. The multi-regional configuration provides a five nines availability target through synchronous replication and automatic failover, which aligns with the 99.999 percent requirement. SSD storage underpins low latency performance.
For users on three continents, a global multi-region such as a configuration that spans North America, Europe, and Asia enables sub second reads from nearby replicas using bounded staleness, while transactions remain strongly consistent by committing through the leader. Cloud Spanner also scales horizontally and can use processing units and compute autoscaling so you can expand capacity during 8x surges and reduce it when demand subsides to help keep spend under control.
質問 # 119
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Professional-Cloud-Database-Engineer認定資格試験: https://www.certshiken.com/Professional-Cloud-Database-Engineer-shiken.html
P.S.CertShikenがGoogle Driveで共有している無料の2026 Google Professional-Cloud-Database-Engineerダンプ：https://drive.google.com/open?id=1flLLMmfvv7MnpOOyqVfjFyhLjQTOPw50