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Google Professional-Cloud-Database-Engineer certification exam measures the candidate's ability to perform essential database engineer tasks such as configuring database systems, ensuring data availability, optimizing database performance, and managing database security. Professional-Cloud-Database-Engineer exam also evaluates the candidate's ability to design and implement database solutions that meet specific business requirements. Professional-Cloud-Database-Engineer exam consists of multiple-choice and scenario-based questions that assess the candidate's practical skills and knowledge of Google Cloud Platform's database services. Passing Professional-Cloud-Database-Engineer exam demonstrates that the candidate has the skills and knowledge required to excel in a database engineering role on Google Cloud Platform.

Google Professional-Cloud-Database-Engineer Certification is a certification exam offered by Google Cloud that focuses on database management and engineering. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who are responsible for managing and designing enterprise database systems on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam measures the candidate's ability to design, build, and manage scalable and reliable databases on the Google Cloud Platform.

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The Google Cloud Certified - Professional Cloud Database Engineer certification exam covers a range of topics that are essential to designing and managing database solutions on the Google Cloud Platform. These topics include designing database systems, managing database performance and scalability, ensuring database security and compliance, and leveraging cloud-based technologies to optimize database solutions. Professional-Cloud-Database-Engineer Exam is designed to test a candidate's ability to apply their knowledge and skills to real-world scenarios, ensuring that certified professionals are equipped to handle the challenges of working with cloud-based databases.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q31-Q36):

NEW QUESTION # 31
You are migrating an on-premises online transactional process (OLTP) PostgreSQL database to Google Cloud. You want to reduce the administrative overhead on database maintenance activities, such as vacuum and memory tuning. You are also planning to introduce analytic use cases in this database. You need the migration to have minimal schema and application changes.
What should you do-

Answer: C

Explanation:
AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible service that automates chores like vacuuming and memory tuning while still supporting standard Postgres schemas and drivers. Its built-in analytics acceleration (columnar storage and vectorized execution engines) lets you run OLAP queries alongside your OLTP workload with minimal changes to your existing applications.


NEW QUESTION # 32
You have a large Cloud SQL for PostgreSQL instance. The database instance is not mission-critical, and you want to minimize operational costs. What should you do to lower the cost of backups in this environment?

Answer: D

Explanation:
By default, for each instance, Cloud SQL retains seven automated backups, in addition to on-demand backups. You can configure how many automated backups to retain (from 1 to 365). We charge a lower rate for backup storage than for other types of instances. https://cloud.google.com/sql/docs/mysql/backup-recovery/backups


NEW QUESTION # 33
Your company wants you to migrate their Oracle, MySQL, Microsoft SQL Server, and PostgreSQL relational databases to Google Cloud. You need a fully managed, flexible database solution when possible. What should you do?

Answer: A


NEW QUESTION # 34
You are using Compute Engine on Google Cloud and your data center to manage a set of MySQL databases in a hybrid configuration. You need to create replicas to scale reads and to offload part of the management operation. What should you do?

Answer: A


NEW QUESTION # 35
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?

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 # 36
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