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Google Professional-Cloud-Database-Engineer certification exam covers a wide range of topics related to cloud-based database solutions. Professional-Cloud-Database-Engineer exam is designed to test the candidate's knowledge of GCP's database services and their ability to design, configure, and manage databases using various GCP tools and services. Professional-Cloud-Database-Engineer Exam also focuses on the candidate's knowledge of database design patterns, data modeling techniques, and best practices for database security, scalability, and performance.

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Valid Google Professional-Cloud-Database-Engineer Test Sample - Minimum Professional-Cloud-Database-Engineer Pass Score

In the such a brilliant era of IT industry in the 21st century competition is very fierce. Naturally, Google Certification Professional-Cloud-Database-Engineer Exam has become a very popular exam in the IT area. More and more people register for the exam and passing the certification exam is also those ambitious IT professionals' dream.

The Google Cloud Certified - Professional Cloud Database Engineer certification exam consists of multiple-choice questions that test the candidate's knowledge in various areas such as database design, data modeling, database management, data security, and data migration. Professional-Cloud-Database-Engineer Exam also covers the use of Google Cloud Platform products such as Cloud SQL, Cloud Spanner, and Cloud Datastore.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q197-Q202):

NEW QUESTION # 197
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency.
What should you do?

A. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
B. Use direct scaling to implement the Autoscaler-based architecture.
C. Use linear scaling to implement the Autoscaler-based architecture
D. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.

Answer: C

Explanation:
Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing unitsrequired to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount.https://cloud.google.com/spanner/docs/autoscaling-overview#linear

NEW QUESTION # 198
You are running a transactional application on Cloud SQL for PostgreSQL in Google Cloud. The database is running in a high availability configuration within one region. You have encountered issues with data and want to restore to the last known pristine version of the database. What should you do?

A. Create a clone database from a read replica database, and restore the clone in the same region.
B. Use the Cloud SQL database import feature. Import last week's dump file from Cloud Storage.
C. Use the Cloud SQL point-in-time recovery (PITR) feature. Restore the copy from two hours ago to a new database instance.
D. Create a clone database from a read replica database, and restore the clone into a different zone.

Answer: C

Explanation:
Using import/export from last week is slow for large scale databases and will restore database from last week.

NEW QUESTION # 199
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

A. Provision a multi-zone Bigtable cluster, configure replication, perform an application stress-test, and set up performance monitoring.
B. Deploy a single-zone Bigtable cluster and optimize the application code for maximum write throughput.
C. Deploy multiple Bigtable clusters, shard data manually across them, and set up the application logic for fault tolerance.
D. Deploy a single-region Bigtable instance and increase the nodes to maximize data durability.

Answer: A

Explanation:
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.

NEW QUESTION # 200
You manage a meeting booking application that uses Cloud SQL. During an important launch, the Cloud SQL instance went through a maintenance event that resulted in a downtime of more than
5 minutes and adversely affected your production application. You need to immediately address the maintenance issue to prevent any unplanned events in the future. What should you do?

A. Use Cloud Scheduler to schedule a maintenance window of no longer than 5 minutes.
B. Set your production instance's maintenance window to non-business hours.
C. Contact Support to understand why your Cloud SQL instance had a downtime of more than 5 minutes.
D. Migrate the Cloud SQL instance to Cloud Spanner to avoid any future disruptions due to maintenance.

Answer: B

NEW QUESTION # 201
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this data.
What should you do?

A. Use customer-managed encryption keys (CMEK).
B. Use Google Cloud Armor to add IP addresses to an allowlist.
C. Use Identity and Access Management (IAM) for Bigtable access control.
D. Use VPC Service Controls to create a trusted network for the Bigtable service.

Answer: D

Explanation:
"Users can define a security perimeter around Google Cloud resources such as Cloud Storage buckets, Bigtable instances, and BigQuery datasets to constrain data within a VPC and control the flow of data."
https://cloud.google.com/vpc-service-controls

NEW QUESTION # 202
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