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NEW QUESTION 40
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance. The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?

A. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.B. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.C. Use query parameters to speed up frequently executed queries.D. Change the Cloud Spanner configuration from multi-region to single region.

Answer: D

 

NEW QUESTION 41
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

A. Watch Cloud Trace for application requests that are failing.B. Watch Query Insights for long running queries.C. Watch the Cloud SQL instance monitor for CPU utilization metrics.D. Watch the Cloud SQL recommenders for overprovisioned instances.

Answer: B

 

NEW QUESTION 42
Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?

A. Stream your data into BigQuery and use Dataproc and the BigQuery Storage API to analyze large volumes of data.B. Use Memorystore to handle your low-latency requirements and for real-time analytics.C. Write your data into Bigtable and use Dataproc and the Apache Hbase libraries for analysis.D. Deploy a Cloud SQL environment with read replicas for improved performance. Use Datastream to export data to Cloud Storage and analyze with Dataproc and the Cloud Storage connector.

Answer: D

 

NEW QUESTION 43
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