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NEW QUESTION 29
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

A. Isolate the data analysts and operations user groups to use different Bigtable instances.B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.C. Add more nodes to the Bigtable cluster.D. Use Key Visualizer for Bigtable.

Answer: B

 

NEW QUESTION 30
Your organization is running a low-latency reporting application on Microsoft SQL Server. In addition to the database engine, you are using SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) in your on-premises environment. You want to migrate your Microsoft SQL Server database instances to Google Cloud. You need to ensure minimal disruption to the existing architecture during migration. What should you do?

A. Migrate to Cloud SQL for PostgreSQL.B. Migrate to Google Kubernetes Engine (GKE).C. Migrate to Compute Engine.D. Migrate to Cloud SQL for SQL Server.

Answer: A

 

NEW QUESTION 31
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 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-bB. 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-aC. 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-bD. 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

Answer: C

 

NEW QUESTION 32
You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi-regional instance. What should you do?

A. Add more read-write replicas.B. Use staleness of at least 15 seconds.C. Keep the total CPU utilization under 45% in each region.D. Place the bulk of the read and write workloads closer to the default leader region.

Answer: A

 

NEW QUESTION 33
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