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[Hardware] Exam Google Professional-Cloud-Database-Engineer Simulations & Professional-

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【Hardware】 Exam Google Professional-Cloud-Database-Engineer Simulations & Professional-

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Earning the Google Professional-Cloud-Database-Engineer Certification demonstrates your proficiency in designing, deploying, and managing scalable, secure, and highly available database solutions on Google Cloud Platform. It also proves your ability to optimize database performance, ensure data integrity, and implement disaster recovery and business continuity solutions. As a Google Cloud Certified - Professional Cloud Database Engineer, you will be recognized as an expert in the field of cloud-based database solutions and will have a competitive edge in the job market.
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Google Professional-Cloud-Database-Engineer Exam is a professional certification that assesses an individual's knowledge and expertise in designing, developing, and managing Google Cloud Platform database solutions. Google Cloud Certified - Professional Cloud Database Engineer certification is intended for individuals with experience in database development and management who wish to validate their skills in the latest Google Cloud Platform database technologies.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q87-Q92):NEW QUESTION # 87
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?
  • A. Use Cloud SQL instance monitoring in the Google Cloud Console.
  • B. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
  • C. Use log messages produced by Cloud SQL.
  • D. Use Query Insights for Cloud SQL.
Answer: B

NEW QUESTION # 88
You are migrating a telehealth care company's on-premises data center to Google Cloud. The migration plan specifies:
PostgreSQL databases must be migrated to a multi-region backup configuration with cross-region replicas to allow restore and failover in multiple scenarios.
MySQL databases handle personally identifiable information (PII) and require data residency compliance at the regional level.
You want to set up the environment with minimal administrative effort. What should you do?
  • A. Set up different organizations for each database type, and apply policy constraints at the organization level.
  • B. Set up Pub/Sub to ingest data from Cloud Logging, send an alert every time a new database instance is created, and manually validate the region.
  • C. Set up different projects for PostgreSQL and MySQL databases, and apply organizational policy constraints at a project level.
  • D. Set up Cloud Logging and Cloud Monitoring with Cloud Functions to send an alert every time a new database instance is created, and manually validate the region.
Answer: C

NEW QUESTION # 89
You have a non-critical business application running on Google Kubernetes Engine (GKE) in the app-dev VPC. You have created an AllayDB cluster with private Service Access (PSA) and no public IP address in the db-dev VPC. You want your application to securely connect to AllowDB in a cost-effective way. What should you do?
  • A. Install a SOCKS proxy in a VM in the db-dev VPC. Install AlloyDB Auth Proxy in your GKE cluster, and connect to the AlloyDB cluster through the SOCKS server and port.
  • B. Set up a high availability VPN between the app-dev and db-dev VPCs. Connect the application directly to AlloyDB.
  • C. Connect by using the private IP address of the AlloyDB cluster directly from the application.
  • D. Connect by using AlloyDB Auth Proxy installed in the GKE cluster.
Answer: C

NEW QUESTION # 90
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?
  • A. Use Cloud Spanner with a custom autoscaling solution.
  • B. Use a Biglable cluster with autoscaling.
  • C. Use sharded Cloud SQL instances with one or more stores per database instance.
  • D. Use Oracle Real Application Cluster (RAC) databases on Bare Metal Solution for Oracle.
Answer: A
Explanation:
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud

NEW QUESTION # 91
You are designing an augmented reality game for iOS and Android devices. You plan to use Cloud Spanner as the primary backend database for game state storage and player authentication. You want to track in-game rewards that players unlock at every stage of the game. During the testing phase, you discovered that costs are much higher than anticipated, but the query response times are within the SLA.
You want to follow Google-recommended practices. You need the database to be performant and highly available while you keep costs low. What should you do?
  • A. Manually scale down the number of nodes after the peak period has passed.
  • B. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
  • C. Use interleaving to co-locate parent and child rows.
  • D. Use granular instance sizing in Cloud Spanner and Autoscaler.
Answer: B

NEW QUESTION # 92
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