Choose the Right Google Cloud Offering for Apache Spark and Presto

Correct Answer: A.

Option A is Correct.

Dataproc is most suited to run solutions involving Apache spark and Presto at a minimal cost.

Fully managed offering dataproc is highly scalable and cost-efficient.

Option B is Incorrect.

Shielded VMs are primarily hardened VMs that defend against rootkits and bootkits.

Although shielded VMs can be used, dataproc is the most suited.

Option C is Incorrect.

Sole-tenant nodes are dedicated hardware.

Hence it can be used but are not cost-efficient, and the implement solution will not be fully managed.

Option D is Incorrect.Fully managed offering cloud run is the serverless platform most suited for containerized solutions.

https://cloud.google.com/dataproc https://cloud.google.com/shielded-vm https://cloud.google.com/sole-tenant-nodes https://cloud.google.com/run

The best Google Cloud offering to use for solutions running Apache Spark and Presto would be Dataproc.

Dataproc is a fully managed cloud service that allows for the easy deployment and scaling of Apache Spark and Apache Hadoop clusters. Dataproc provides a fast and efficient way to process large datasets by allowing users to run Spark and Hadoop jobs on a fully managed cluster that is integrated with other Google Cloud services like BigQuery and Cloud Storage.

Presto, on the other hand, is an open-source distributed SQL query engine that can query data from multiple sources including Hadoop Distributed File System (HDFS), Apache Cassandra, and relational databases. Presto is designed to handle large-scale data processing and can be used in conjunction with Apache Spark to perform complex analytics.

In summary, Dataproc is the ideal Google Cloud offering to use for solutions running Apache Spark and Presto because it provides a fully managed environment for running Spark and Hadoop jobs while also integrating with other Google Cloud services like BigQuery and Cloud Storage.