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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.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q110-Q115):
NEW QUESTION # 110
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?
- A. Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.
- B. Use Firestore and ensure that the PersistenceEnabled option is set to true.
- C. Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.
- D. Use Memorystore for Memcached.
Answer: B
Explanation:
https://firebase.google.com/docs/firestore/manage-data/enable-offline
NEW QUESTION # 111
Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services. What should you do?
- A. Use Datastream to capture changes, and use Dataflow to write those changes to BigQuery.
- B. Develop a custom data replication service to send data into BigQuery.
- C. Use Cloud SQL federated queries.
- D. Use Database Migration Service to replicate tables into BigQuery.
Answer: A
NEW QUESTION # 112
Your ecommerce application connecting to your Cloud SQL for SQL Server is expected to have additional traffic due to the holiday weekend. You want to follow Google-recommended practices to set up alerts for CPU and memory metrics so you can be notified by text message at the first sign of potential issues. What should you do?
- A. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
- B. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
- C. Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub.
- D. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
Answer: B
Explanation:
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. Using the BindPlane service, you can also collect this data from over 150 common application components, on-premise systems, and hybrid cloud systems.
NEW QUESTION # 113
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. Migrate the Cloud SQL instance to Cloud Spanner to avoid any future disruptions due to maintenance.
- B. Set your production instance's maintenance window to non-business hours.
- C. Use Cloud Scheduler to schedule a maintenance window of no longer than 5 minutes.
- D. Contact Support to understand why your Cloud SQL instance had a downtime of more than 5 minutes.
Answer: B
NEW QUESTION # 114
Your organization has a security policy to ensure that all Cloud SQL for PostgreSQL databases are secure.
You want to protect sensitive data by using a key that meets specific locality or residency requirements. Your organization needs to control the key's lifecycle activities. You need to ensure that data is encrypted at rest and in transit. What should you do?
- A. Create the database with customer-managed encryption keys.
- B. Create the database persistent disk with customer-managed encryption keys.
- C. Create the database with Google-managed encryption keys.
- D. Create the database persistent disk with Google-managed encryption keys.
Answer: A
Explanation:
https://cloud.google.com/sql/docs/postgres/configure-cmek#createcmekinstance
NEW QUESTION # 115
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