What is a common use case for moving data to GCP? Select the 2 correct answers.

Developer agility comes from building systems composed of small, independent units of functionality focused on doing one thing well, so how does Cloud Functions help improve developer agility?

Cloud Functions lets organizations that really value time to market build apps quickly. Cloud Functions lets organizations build and deploy services at the level of a single function, not at the level of entire applications, containers, or VMs. Cloud Functions lets organizations deploy and maintain a fleet of VMs through a series of containers. Cloud Functions […]

Likened to a connector, which description best aligns to Cloud Pub/Sub’s role in GCP?

Cloud Pub/Sub takes the existing data processing pipeline and processes it alongside an incoming stream of input data, performs transforms on that data to gain useful or actionable insights, and produces resulting output data. Cloud Pub/Sub helps capture data and rapidly pass massive numbers of messages securely between other Google Cloud Platform big data tools and other […]

Which statement best describes where Cloud Dataproc falls on the big data processing model and the role it plays?

Cloud Dataproc allows organizations to scale data storage and ensures accessibility without compromising security. Cloud Dataproc allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, and it helps organizations interactively analyze data with Spark and Hive. Cloud Dataproc allows organizations to transform and enrich data in stream and batch […]