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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q59-Q64):
NEW QUESTION # 59
You are designing a database strategy for a new web application in one region. You need to minimize write latency. What should you do?
- A. Use Cloud SQL with cross-region replicas.
- B. Use zonal Cloud SQL without high availability (HA).
- C. Use high availability (HA) Cloud SQL with multiple zones.
- D. Use Cloud Spanner in a regional configuration.
Answer: B
Explanation:
https://docs.google.com/forms/d/e/1FAIpQLSfZ77ZnuUL0NpU-
bOtO5QUkC0cnRCe5YKMiubLXwfV3abBqkg/viewform
NEW QUESTION # 60
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow.You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)
- A. Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re- enable replication and optimize performance by setting flags on the primary instance.
- B. Create additional read replicas, and partition your analytics users to use different read replicas.
- C. Create secondary indexes on the replica.
- D. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.
- E. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.
Answer: A,B
Explanation:
Replication lag and slow report performance. E is eliminated because using BigQuery would mean changes to the current reports. Report slowness could be the result of poor indexing or just too much read load (or both!).
Since excessive load is mentioned in the question, creating additional read replicas and spreading the analytics workload around makes B correct and eliminates A as a way to speed up reporting. That leaves the replication problem. Cloud SQL enables single threaded replication by default, so it stands to reason enabling parallel replication would help the lag. To do that you disable replication on the replica (not the primary), set flags on the replica and optionally set flags on the primary instance to optimize performance for parallel replication.
That makes C correct and D incorrect.https://cloud.google.com/sql/docs/mysql/replication/manage- replicas#configuring-parallel-replication
NEW QUESTION # 61
You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?
- A. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone australia-southeast1-a
cluster-c in zone europe-west1-d
cluster-d in zone asia-east1-b - B. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone europe-west1-d
cluster-c in zone asia-east1-b - C. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central1-b
cluster-c in zone us-east1-a - D. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central2-a
cluster-c in zone asia-northeast1-b
cluster-d in zone asia-east1-b
Answer: D
NEW QUESTION # 62
You finished migrating an on-premises MySQL database to Cloud SQL. You want to ensure that the daily export of a table, which was previously a cron job running on the database server, continues. You want the solution to minimize cost and operations overhead. What should you do?
- A. Use Cloud Scheduler and Cloud Functions to run the daily export.
- B. Set up Cloud Composer, and create a task to export the table daily.
- C. Run the cron job on a Compute Engine instance to continue the export.
- D. Create a streaming Datatlow job to export the table.
Answer: A
Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/scheduling-cloud-sql-exports-using-cloud-functions-and-cloud-scheduler
NEW QUESTION # 63
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud. Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?
- A. Configure the primary, standby, and read replica instances in zone A, all in the same region.
- B. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
- C. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
- D. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
Answer: D
Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview
NEW QUESTION # 64
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