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NEW QUESTION 37
You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

• A. Create a table on Cloud Spanner, and insert and delete rows with the job information
• B. Create a table on Cloud SQL, and insert and delete rows with the job information
• C. Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
• D. Create an API using App Engine to receive and send messages to the applications

Answer: C

Explanation:
Pubsub is used to transmit data in real time and scale automatically.

NEW QUESTION 38
Cloud Dataproc is a managed Apache Hadoop and Apache _____ service.

• A. Spark
• B. Fire
• C. Ignite
• D. Blaze

Answer: A

Explanation:
Explanation
Cloud Dataproc is a managed Apache Spark and Apache Hadoop service that lets you use open source data tools for batch processing, querying, streaming, and machine learning.
Reference: https://cloud.google.com/dataproc/docs/

NEW QUESTION 39
Which is not a valid reason for poor Cloud Bigtable performance?

• A. The table's schema is not designed correctly.
• B. The Cloud Bigtable cluster has too many nodes.
• C. There are issues with the network connection.
• D. The workload isn't appropriate for Cloud Bigtable.

Answer: B

Explanation:
Explanation
The Cloud Bigtable cluster doesn't have enough nodes. If your Cloud Bigtable cluster is overloaded, adding more nodes can improve performance. Use the monitoring tools to check whether the cluster is overloaded.
Reference: https://cloud.google.com/bigtable/docs/performance

NEW QUESTION 40
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