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Google Professional-Cloud-Database-Engineer Certification is a valuable certification for database engineers and administrators who work with the Google Cloud Platform. It demonstrates a high level of expertise and knowledge in database management on the cloud, which is becoming increasingly important in today's digital landscape. Candidates can prepare for the exam by studying database management principles and gaining hands-on experience with database administration on the Google Cloud Platform.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q67-Q72):
NEW QUESTION # 67
You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?
- A. Create a new service account, and grant it the Cloud Spanner Database Admin role.
- B. Create a new service account, and grant it the Cloud Spanner Database Reader role.
- C. Reuse the existing service account that populates this database.
- D. Create a new service account, and grant it the spanner.databases.select permission.
Answer: B
Explanation:
https://cloud.google.com/iam/docs/overview
NEW QUESTION # 68
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 Pub/Sub to synchronize the changes from the application to Cloud Spanner.
- B. Use Memorystore for Memcached.
- C. Use Firestore and ensure that the PersistenceEnabled option is set to true.
- D. Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.
Answer: C
Explanation:
https://firebase.google.com/docs/firestore/manage-data/enable-offline
NEW QUESTION # 69
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 the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
- 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 granular instance sizing in Cloud Spanner and Autoscaler.
Answer: D
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 # 70
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard.
You need to recommend the optimal storage type for this read-intensive database. What should you do?
- A. Recommend solid-state drives (SSD).
- B. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
- C. Recommend mixed storage types.
- D. Recommend hard disk drives (HDD).
Answer: A
Explanation:
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage-reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.
NEW QUESTION # 71
You are managing two different applications: Order Management and Sales Reporting. Both applications interact with the same Cloud SQL for MySQL database. The Order Management application reads and writes to the database 24/7, but the Sales Reporting application is read-only. Both applications need the latest data.
You need to ensure that the Performance of the Order Management application is not affected by the Sales Reporting application. What should you do?
- A. Create a read replica for the Sales Reporting application.
- B. Create two separate databases in the instance, and perform dual writes from the Order Management application.
- C. Queue up all the requested reports in PubSub, and execute the reports at night.
- D. Use a Cloud SQL federated query for the Sales Reporting application.
Answer: A
NEW QUESTION # 72
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