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Candidates for this certification should have experience in database design, development, management, and administration. They should also have a strong understanding of database concepts and principles, as well as experience using SQL and other programming languages.
To earn the Google Professional-Cloud-Database-Engineer certification, candidates must pass a single exam that tests their knowledge and skills in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam consists of multiple-choice questions and is administered online.
Google Professional-Cloud-Database-Engineer Certification Exam is a highly recognized certification in the IT industry. Google Cloud Certified - Professional Cloud Database Engineer certification exam provides professionals with the skills and knowledge to design, develop, and manage highly scalable, secure, and available databases on the Google Cloud Platform. Passing this certification exam demonstrates a high level of expertise in cloud database engineering, which can help professionals advance their careers and improve their job opportunities.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q70-Q75):
NEW QUESTION # 70
You are designing a payments processing application on Google Cloud. The application must continue to serve requests and avoid any user disruption if a regional failure occurs. You need to use AES-256 to encrypt data in the database, and you want to control where you store the encryption key. What should you do?
- A. Use Bigtable with default encryption.
- B. Use Cloud SQL with a customer-managed encryption key (CMEK).
- C. Use Cloud Spanner with a customer-managed encryption key (CMEK).
- D. Use Cloud Spanner with default encryption.
Answer: B
NEW QUESTION # 71
You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions. You want to follow Google-recommended practices for the migration. What should you do?
- A. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.
- B. Take nightly snapshots of the primary database instance, and restore them in a secondary zone.
- C. Create a read replica in another region, and promote the read replica if a failure occurs.
- D. Enable high availability (HA) for the database to make it regional.
Answer: D
NEW QUESTION # 72
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 interleaving to co-locate parent and child rows.
- B. Use granular instance sizing in Cloud Spanner and Autoscaler.
- C. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
- D. Manually scale down the number of nodes after the peak period has passed.
Answer: B
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 # 73
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?
- A. Write a utility to scan database query logs.
- B. Shut down and restart each application.
- C. Use query tags to add application-centric database monitoring.
- D. Write a utility to scan application logs.
Answer: C
Explanation:
https://cloud.google.com/sql/docs/postgres/using-query-insights#filter_by_query_tags
NEW QUESTION # 74
You are evaluating Cloud SQL for PostgreSQL as a possible destination for your on-premises PostgreSQL instances. Geography is becoming increasingly relevant to customer privacy worldwide. Your solution must support data residency requirements and include a strategy to:
configure where data is stored
control where the encryption keys are stored
govern the access to data
What should you do?
- A. Use features like customer-managed encryption keys (CMEK), VPC Service Controls, and Identity and Access Management (IAM) policies.
- B. Replicate Cloud SQL databases across different zones.
- C. Allow application access to data only if the users are in the same region as the Google Cloud region for the Cloud SQL for PostgreSQL database.
- D. Create a Cloud SQL for PostgreSQL instance on Google Cloud for the data that does not need to adhere to data residency requirements. Keep the data that must adhere to data residency requirements on-premises. Make application changes to support both databases.
Answer: A
Explanation:
https://cloud.google.com/blog/products/identity-security/meet-data-residency-requirements-with-google-cloud
NEW QUESTION # 75
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