Up-to-Date Official Professional-Cloud-Database-Engineer Practice Test to Obtain Google Certification

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Google Professional-Cloud-Database-Engineer Certification Exam is a valuable credential for professionals who want to demonstrate their expertise in database development and management on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification provides a competitive edge to candidates in the job market and helps them stand out among other candidates.
Google Professional-Cloud-Database-Engineer is a certification exam developed by Google Cloud to validate the skills and knowledge of professionals in the field of cloud database engineering. Google Cloud Certified - Professional Cloud Database Engineer certification exam is designed to test the ability of professionals to design, develop, and manage highly scalable, secure, and available databases on the Google Cloud Platform.
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To be eligible to take the Google Professional-Cloud-Database-Engineer certification exam, you must have a minimum of three years of experience in database administration or data management, and at least one year of experience working with Google Cloud Platform. You should also have a strong understanding of SQL and database design principles. Professional-Cloud-Database-Engineer Exam consists of multiple-choice questions and performance-based scenarios, and you will have two hours to complete it.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q172-Q177):
NEW QUESTION # 172
Your company wants to move to Google Cloud. Your current data center is closing in six months. You are running a large, highly transactional Oracle application footprint on VMWare. You need to design a solution with minimal disruption to the current architecture and provide ease of migration to Google Cloud. What should you do?
- A. Migrate applications and Oracle databases to Google Kubernetes Engine (GKE).
- B. Migrate applications and Oracle databases to Google Cloud VMware Engine (VMware Engine).
- C. Migrate applications and Oracle databases to Compute Engine.
- D. Migrate applications to Cloud SQL.
Answer: B
Explanation:
https://cloud.google.com/blog/products/databases/migrate-databases-to-google-cloud-vmware-engine-gcve
NEW QUESTION # 173
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. Use granular instance sizing in Cloud Spanner and Autoscaler.
- B. Use interleaving to co-locate parent and child rows.
- C. Manually scale down the number of nodes after the peak period has passed.
- D. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
Answer: A
Explanation:
Granular instance is available in Public Preview. With this feature, you can run workloads on Spanner at as low as 1/10th the cost of regular instances,https://cloud.google.com/blog/products/databases/get-more-out-of- spanner-with-granular-instance-sizing
NEW QUESTION # 174
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?
- A. Use Bigtable with Looker.
- B. Use MongoD8 Atlas with Charts.
- C. Use Cloud Spanner with Data Studio.
- D. Use Firestore with Looker.
Answer: B
NEW QUESTION # 175
Your company uses Cloud Spanner for a mission-critical inventory management system that is globally available. You recently loaded stock keeping unit (SKU) and product catalog data from a company acquisition and observed hotspots in the Cloud Spanner database. You want to follow Google-recommended schema design practices to avoid performance degradation. What should you do? (Choose two.)
- A. Promote low-cardinality attributes in multi-attribute primary keys.
- B. Promote high-cardinality attributes in multi-attribute primary keys.
- C. Use bit-reverse sequential value as the primary key.
- D. Normalize the data model.
- E. Use an auto-incrementing value as the primary key.
Answer: B,C
Explanation:
https://cloud.google.com/spanner/docs/schema-design
NEW QUESTION # 176
Your company wants to migrate its MySQL, PostgreSQL, and Microsoft SQL Server on-premises databases to Google Cloud. You need a solution that provides near-zero downtime, requires no application changes, and supports change data capture (CDC). What should you do?
- A. Create a database on Google Cloud, and use database links to perform the migration.
- B. Use Database Migration Service.
- C. Create a database on Google Cloud, and use Dataflow for database migration.
- D. Use the native export and import functionality of the source database.
Answer: B
Explanation:
Simplify migrations to the cloud. Available now for MySQL and PostgreSQL, with SQL Server and Oracle migrations in preview.
* Migrate to Cloud SQL and AlloyDB for PostgreSQL from on-premises, Google Cloud, or other clouds
* Replicate data continuously for minimal downtime migrations
* Serverless and easy to set up
NEW QUESTION # 177
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